thenotes to deal with thermodynamics and solution manual....
good document to refer and read for exam
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This document discusses fluid flow and provides information on several topics:
1) It describes laminar and turbulent flow, and introduces the Reynolds number which determines the transition between these two flow regimes.
2) It discusses mass balances and the continuity equation which states that the rate of mass input equals the rate of mass output in steady state flow.
3) It derives the overall energy balance equation based on the first law of thermodynamics and describes how to apply this to steady state flow systems.
4) It introduces the mechanical energy balance equation which is useful for analyzing flowing liquids and accounts for kinetic energy, potential energy, and frictional losses.
This document discusses fluid dynamics and Bernoulli's equation. It begins by defining different forms of energy in a flowing liquid, including kinetic energy, potential energy, pressure energy, and internal energy. It then derives Bernoulli's equation, which states that the total head of a fluid particle remains constant during steady, incompressible flow. The derivation considers forces acting on a fluid particle and uses conservation of energy. Finally, the document presents the general energy equation for steady fluid flow and the specific equation for incompressible fluids using the concepts of total head, head loss, and hydraulic grade line.
The first law of thermodynamics states that the change in internal energy of a system is equal to the heat supplied to the system minus the work done by the system. For a closed system undergoing a process, this can be expressed as ฮU=Q-W. The first law applies to both closed systems undergoing non-flow processes as well as open systems undergoing steady flow processes. For non-flow processes such as constant volume, constant pressure, isothermal, and adiabatic processes, the first law allows determining the relationships between heat, work and changes in internal energy or enthalpy. For steady flow processes, the general energy equation accounts for changes in kinetic and potential energy of the fluid in addition to heat
This document discusses thermodynamic properties and calculations. It defines thermodynamic properties as quantities that characterize a system's overall state, like temperature, pressure, and volume. It also outlines the first and second laws of thermodynamics. The first law states that energy is conserved, while the second law concerns the direction of spontaneous processes and limits energy conversions. Examples are provided to demonstrate calculating work, heat, internal energy, and enthalpy changes for ideal gases undergoing various thermodynamic processes.
Here are the key steps to solve this problem:
1. Given: TH = 817ยฐC = 817 + 273 = 1090 K
TL = 25ยฐC = 25 + 273 = 298 K
QR = 25 kW
2. Use the Carnot efficiency equation:
ฮท = (TH - TL)/TH = (1090 - 298)/1090 = 0.726
3. Set up an equation for the heat input using the efficiency and heat rejected:
QA = QR/(1-ฮท) = 25000/(1-0.726) = 87500 kW
Therefore, the heat input (QA) required is 87500 kW.
A homogeneous thermodynamic system is one whose properties are uniform throughout. A heterogeneous system contains distinct phases.
There are several types of thermodynamic processes including isochoric (constant volume), isobaric (constant pressure), and adiabatic (no heat transfer). Extensive properties depend on amount of substance and intensive properties do not.
The first law of thermodynamics states that energy is conserved and heat and work are equivalent. For an ideal gas undergoing an adiabatic process, PVฮณ is constant, where ฮณ is the heat capacity ratio.
1) The document discusses the first law of thermodynamics and key concepts like internal energy, state variables, work, and heat transfer.
2) Internal energy depends on molecular kinetic and potential energy and can vary for different systems like monoatomic gases, diatomic gases, and monoatomic solids.
3) Work is defined as the area under a pressure-volume curve and can cause a change in the internal energy of a system according to the first law of thermodynamics.
4) For a cyclic process returning a system to its initial state, the total work done and heat transferred can be used to determine if energy was absorbed or released over the full cycle.
Thermodynamics I is a course on the fundamentals of thermodynamics including common terms and concepts, fluid properties, processes like isothermal and adiabatic, the laws of thermodynamics, heat engines and refrigeration. The course will cover these topics through lectures, recommended textbooks, videos and assessments including assignments, a test and exam. Students will learn about systems, surroundings, energy, work, heat, entropy and more. Properties of gases can be determined using equations of state from ideal gas laws, tables and diagrams.
This document discusses fluid flow and provides information on several topics:
1) It describes laminar and turbulent flow, and introduces the Reynolds number which determines the transition between these two flow regimes.
2) It discusses mass balances and the continuity equation which states that the rate of mass input equals the rate of mass output in steady state flow.
3) It derives the overall energy balance equation based on the first law of thermodynamics and describes how to apply this to steady state flow systems.
4) It introduces the mechanical energy balance equation which is useful for analyzing flowing liquids and accounts for kinetic energy, potential energy, and frictional losses.
This document discusses fluid dynamics and Bernoulli's equation. It begins by defining different forms of energy in a flowing liquid, including kinetic energy, potential energy, pressure energy, and internal energy. It then derives Bernoulli's equation, which states that the total head of a fluid particle remains constant during steady, incompressible flow. The derivation considers forces acting on a fluid particle and uses conservation of energy. Finally, the document presents the general energy equation for steady fluid flow and the specific equation for incompressible fluids using the concepts of total head, head loss, and hydraulic grade line.
The first law of thermodynamics states that the change in internal energy of a system is equal to the heat supplied to the system minus the work done by the system. For a closed system undergoing a process, this can be expressed as ฮU=Q-W. The first law applies to both closed systems undergoing non-flow processes as well as open systems undergoing steady flow processes. For non-flow processes such as constant volume, constant pressure, isothermal, and adiabatic processes, the first law allows determining the relationships between heat, work and changes in internal energy or enthalpy. For steady flow processes, the general energy equation accounts for changes in kinetic and potential energy of the fluid in addition to heat
This document discusses thermodynamic properties and calculations. It defines thermodynamic properties as quantities that characterize a system's overall state, like temperature, pressure, and volume. It also outlines the first and second laws of thermodynamics. The first law states that energy is conserved, while the second law concerns the direction of spontaneous processes and limits energy conversions. Examples are provided to demonstrate calculating work, heat, internal energy, and enthalpy changes for ideal gases undergoing various thermodynamic processes.
Here are the key steps to solve this problem:
1. Given: TH = 817ยฐC = 817 + 273 = 1090 K
TL = 25ยฐC = 25 + 273 = 298 K
QR = 25 kW
2. Use the Carnot efficiency equation:
ฮท = (TH - TL)/TH = (1090 - 298)/1090 = 0.726
3. Set up an equation for the heat input using the efficiency and heat rejected:
QA = QR/(1-ฮท) = 25000/(1-0.726) = 87500 kW
Therefore, the heat input (QA) required is 87500 kW.
A homogeneous thermodynamic system is one whose properties are uniform throughout. A heterogeneous system contains distinct phases.
There are several types of thermodynamic processes including isochoric (constant volume), isobaric (constant pressure), and adiabatic (no heat transfer). Extensive properties depend on amount of substance and intensive properties do not.
The first law of thermodynamics states that energy is conserved and heat and work are equivalent. For an ideal gas undergoing an adiabatic process, PVฮณ is constant, where ฮณ is the heat capacity ratio.
1) The document discusses the first law of thermodynamics and key concepts like internal energy, state variables, work, and heat transfer.
2) Internal energy depends on molecular kinetic and potential energy and can vary for different systems like monoatomic gases, diatomic gases, and monoatomic solids.
3) Work is defined as the area under a pressure-volume curve and can cause a change in the internal energy of a system according to the first law of thermodynamics.
4) For a cyclic process returning a system to its initial state, the total work done and heat transferred can be used to determine if energy was absorbed or released over the full cycle.
Thermodynamics I is a course on the fundamentals of thermodynamics including common terms and concepts, fluid properties, processes like isothermal and adiabatic, the laws of thermodynamics, heat engines and refrigeration. The course will cover these topics through lectures, recommended textbooks, videos and assessments including assignments, a test and exam. Students will learn about systems, surroundings, energy, work, heat, entropy and more. Properties of gases can be determined using equations of state from ideal gas laws, tables and diagrams.
Chapter 3 (law of conservation of mass & and 1st law)Yuri Melliza
ย
1. The law of conservation of mass states that mass is neither created nor destroyed, except during nuclear processes where mass is converted to energy. For a closed system, the mass entering must equal the mass leaving.
2. The zeroth law of thermodynamics states that if two bodies are in thermal equilibrium with a third body, they are also in thermal equilibrium with each other and have equal temperatures.
3. The first law of thermodynamics, or the law of conservation of energy, states that energy cannot be created or destroyed, only changed from one form to another. For a closed system, the change in internal energy equals the heat supplied minus work done.
This document summarizes key concepts from Chapter 3 of Thermodynamics I. It discusses:
- The first law of thermodynamics, also known as the law of conservation of energy, which relates work, heat, and the energy content of a system.
- How the first law can be written as an equation for closed systems and control volumes, accounting for changes in internal energy, work, heat transfer, and flow energy.
- The thermodynamic property of enthalpy, defined as the sum of internal energy and flow energy.
- Applications of the steady flow energy equation to devices like turbines, compressors, pumps, nozzles, and diffusers.
- Any reversible process can be approximated by a series of reversible, isothermal and reversible, adiabatic processes connected by intermediate states.
- The heat interaction along the reversible path is equal to the heat interaction along the reversible isothermal path between the same initial and final states.
- Therefore, a reversible process can be replaced by a zig-zag path consisting of reversible adiabatic and isothermal processes, satisfying the first law of thermodynamics.
- According to the Clausius theorem, the integral of heat transfer divided by temperature around any cyclic process is equal to zero for a reversible process. This leads to the definition of entropy as a state function.
A unique value for a specified state of a system.
Path-Dependent functions.
Enthalpy (โH ) and Internal Energy ( โU) changes in a chemical reaction
This is a lecture is a series on combustion chemical kinetics for engineers. The course topics are selections from thermodynamics and kinetics especially geared to the interests of engineers involved in combusition
This document summarizes research on oblique shock waves that appear in supersonic carbon dioxide two-phase flow, as occurs in ejector refrigeration cycles. It presents:
1) Theoretical analyses showing that two types of oblique shock waves can occur - weak shocks where flow remains supersonic, and strong shocks with large pressure recovery and subsonic flow.
2) An experiment using a carbon dioxide two-phase flow channel to observe these shock waves.
3) Equations governing compressible two-phase flow and the conditions under which strong and weak oblique shock waves form, to compare with experimental results.
This document outlines engineering assumptions and equations for analyzing energy conversion cycles that use air as the working fluid. Key assumptions include treating air as a single species with constant specific heat, and using the ideal gas law. Equations presented include the continuity, momentum and energy conservation equations, as well as equations of state and equations specific to analyzing cycles like Otto, Brayton, and Diesel cycles. Thermodynamic property data for air is also referenced.
Basic Terminology,Heat, energy and work, Internal Energy (E or U),First Law of Thermodynamics, Enthalpy,Molar heat capacity, Heat capacity,Specific heat capacity,Enthalpies of Reactions,Hessโs Law of constant heat summation,BornโHaber Cycle,Lattice energy,Second law of thermodynamics, Gibbs free energy(ฮG),Bond Energies,Efficiency of a heat engine
The document discusses three equations commonly used in fluid mechanics - the mass, Bernoulli, and energy equations. It provides an overview of the conservation of mass principle and defines relevant terms like mass flow rate. It then discusses various forms of mechanical energy and energy conversion efficiencies. Finally, it outlines how the Bernoulli equation is derived from Newton's second law and how the energy equation is developed and applied to fluid mechanics problems.
chemical equilibrium and thermodynamicsAayashaNegi
ย
1. The document discusses key concepts in chemical thermodynamics including the first law of thermodynamics. It defines important terms like system, surroundings, state functions, extensive and intensive properties.
2. The first law states that energy can be transformed but not created or destroyed. For a process, the change in internal energy of a system equals the heat transferred plus work done.
3. Enthalpy is a state function equal to the internal energy plus the product of pressure and volume. For a constant pressure process, the enthalpy change equals the heat transferred.
This document provides an introduction to heat transfer concepts. It defines heat transfer as energy transfer due to temperature differences and describes the three main modes of heat transfer: conduction, convection, and radiation. Conduction occurs through direct contact within a material. Convection involves energy transfer between a surface and moving fluid. Radiation is heat transfer via electromagnetic waves. The document also discusses applications of heat transfer, its relationship to thermodynamics, and the conservation of energy for control volumes and surfaces.
1) Bernoulli's equation states that the total energy of a fluid particle remains constant as it flows through a pipe or channel. This includes the particle's potential energy, kinetic energy, and pressure energy.
2) The document provides an example calculation using Bernoulli's equation to determine the total head of water flowing through a pipe.
3) Bernoulli's equation is derived from Euler's equation for fluid motion and the conservation of energy, based on assumptions of inviscid, incompressible, steady flow along a streamline.
The understanding of two-phase flow and heat transfer
with phase change in minichannels is needed for the design and
optimization of heat exchangers and other industrial
applications. In this study a three-dimensional numerical model
has been developed to predict filmwise condensation heat
transfer inside a rectangular minichannel. The Volume of Fluid
(VOF) method is used to track the vapor-liquid interface. The
modified High Resolution Interface Capture (HRIC) scheme is
employed to keep the interface sharp. The governing equations
and the VOF equation with relevant source terms for
condensation are solved. The surface tension is taken into
account in the modeling and it is evaluated by the Continuum
Surface Force (CSF) approach. The simulation is performed
using the CFD software package, ANSYS FLUENT, and an inhouse
developed code. This in-house code is specifically
developed to calculate the source terms associated with phase
change. These terms are deduced from Hertz-Knudsen equation
based on the kinetic gas theory. The numerical results are
validated with data obtained from the open literature. The
standard k-ฯ model is applied to model the turbulence through
both the liquid and vapor phase. The numerical results show
that surface tension plays an important role in the condensation
heat transfer process. Heat transfer enhancement is obtained
due to the presence of the corners. The surface tension pulls the
liquid towards the corners and reduces the average thermal
resistance in the cross section.
The document provides information on applying Bernoulli's equation and the conservation of mass and energy principles to solve fluid mechanics problems involving pipe flow. It discusses key concepts like:
- Bernoulli's equation relating pressure, velocity, and height.
- How to derive and apply the continuity equation to relate flow rate, velocity, and pipe cross-sectional area.
- The conservation of energy principle and different forms of energy (pressure, potential, kinetic).
- How to set up and solve example problems involving pipe flow and components like nozzles, valves, and changes in pipe diameter or elevation using Bernoulli's equation and accounting for friction losses.
Development of Dynamic Models and AAAA Systematic Approach for Developing Dy...NizarMousa1
ย
This document discusses the development of dynamic models for chemical processes. It begins by presenting models for a blending process and a stirred-tank heating process. For the blending process, mass and component balance equations are derived and simplified. For the heating process, assumptions are made and energy, mass, and component balance equations are developed. The document also discusses degrees of freedom analysis, biological reactions, and fed-batch bioreactors. Modeling objectives, conservation laws, and a systematic approach to developing models are outlined.
The document summarizes key concepts in fluid mechanics including:
1) Types of fluid flow such as steady, unsteady, uniform, and non-uniform flow. It also discusses the continuity, Bernoulli, and momentum equations used to solve fluid problems.
2) Applications of Bernoulli's equation such as flow over weirs, through orifices and pipes, and venturi meters. It also discusses concepts like total energy, hydraulic grade line, and more.
3) Examples are provided calculating velocity, pressure, flow rates, and more at different points in pipe systems using the governing equations.
1) Bernoulli's equation states that for steady flow in an inviscid fluid, the total mechanical energy per unit weight remains constant along a streamline. This includes potential energy, kinetic energy, and pressure energy.
2) It summarizes that an applied force equals the rate of change of mechanical energy, and derives the one-dimensional Euler and Bernoulli equations from conservation of energy and momentum principles.
3) The document provides examples of applying Bernoulli's equation to problems involving pipe flow and nozzle discharge to determine quantities like jet velocity and suction pressure.
This document contains the solutions to homework problems assigned in a thermodynamics course. It provides instructions for submitting homework solutions, including showing all work. It then lists 7 problems and provides the numerical solutions. The problems cover various thermodynamic concepts like the ideal gas law, polytropic processes, work calculations, property tables and definitions.
lecture pf control system_thermal system_206.pdfAtmacaDevrim
ย
The document discusses thermal systems and concepts such as:
- Thermal systems involve the storage and transfer of energy as heat. Heat flows from higher to lower temperatures.
- The law of conservation of energy applies to thermal systems, where the change in internal energy equals heat supplied minus work done.
- Thermal resistance and capacitance relate temperature differences and heat flow in thermal systems, analogous to voltage and capacitance in electrical systems.
- Heat transfer occurs through conduction, convection and radiation, and can be modeled using concepts like Newton's law of cooling.
The document provides an overview of traditional predictive and adaptive software development processes, including waterfall, iterative incremental, and spiral models. It then discusses agile software development processes like Scrum and extreme programming. Key aspects of each methodology are defined such as roles, meetings, user stories, and emphasis on rapid delivery through short iterations. Adaptive methods prioritize quickly adapting to changes while predictive methods focus on detailed long-term planning.
Chapter 3 (law of conservation of mass & and 1st law)Yuri Melliza
ย
1. The law of conservation of mass states that mass is neither created nor destroyed, except during nuclear processes where mass is converted to energy. For a closed system, the mass entering must equal the mass leaving.
2. The zeroth law of thermodynamics states that if two bodies are in thermal equilibrium with a third body, they are also in thermal equilibrium with each other and have equal temperatures.
3. The first law of thermodynamics, or the law of conservation of energy, states that energy cannot be created or destroyed, only changed from one form to another. For a closed system, the change in internal energy equals the heat supplied minus work done.
This document summarizes key concepts from Chapter 3 of Thermodynamics I. It discusses:
- The first law of thermodynamics, also known as the law of conservation of energy, which relates work, heat, and the energy content of a system.
- How the first law can be written as an equation for closed systems and control volumes, accounting for changes in internal energy, work, heat transfer, and flow energy.
- The thermodynamic property of enthalpy, defined as the sum of internal energy and flow energy.
- Applications of the steady flow energy equation to devices like turbines, compressors, pumps, nozzles, and diffusers.
- Any reversible process can be approximated by a series of reversible, isothermal and reversible, adiabatic processes connected by intermediate states.
- The heat interaction along the reversible path is equal to the heat interaction along the reversible isothermal path between the same initial and final states.
- Therefore, a reversible process can be replaced by a zig-zag path consisting of reversible adiabatic and isothermal processes, satisfying the first law of thermodynamics.
- According to the Clausius theorem, the integral of heat transfer divided by temperature around any cyclic process is equal to zero for a reversible process. This leads to the definition of entropy as a state function.
A unique value for a specified state of a system.
Path-Dependent functions.
Enthalpy (โH ) and Internal Energy ( โU) changes in a chemical reaction
This is a lecture is a series on combustion chemical kinetics for engineers. The course topics are selections from thermodynamics and kinetics especially geared to the interests of engineers involved in combusition
This document summarizes research on oblique shock waves that appear in supersonic carbon dioxide two-phase flow, as occurs in ejector refrigeration cycles. It presents:
1) Theoretical analyses showing that two types of oblique shock waves can occur - weak shocks where flow remains supersonic, and strong shocks with large pressure recovery and subsonic flow.
2) An experiment using a carbon dioxide two-phase flow channel to observe these shock waves.
3) Equations governing compressible two-phase flow and the conditions under which strong and weak oblique shock waves form, to compare with experimental results.
This document outlines engineering assumptions and equations for analyzing energy conversion cycles that use air as the working fluid. Key assumptions include treating air as a single species with constant specific heat, and using the ideal gas law. Equations presented include the continuity, momentum and energy conservation equations, as well as equations of state and equations specific to analyzing cycles like Otto, Brayton, and Diesel cycles. Thermodynamic property data for air is also referenced.
Basic Terminology,Heat, energy and work, Internal Energy (E or U),First Law of Thermodynamics, Enthalpy,Molar heat capacity, Heat capacity,Specific heat capacity,Enthalpies of Reactions,Hessโs Law of constant heat summation,BornโHaber Cycle,Lattice energy,Second law of thermodynamics, Gibbs free energy(ฮG),Bond Energies,Efficiency of a heat engine
The document discusses three equations commonly used in fluid mechanics - the mass, Bernoulli, and energy equations. It provides an overview of the conservation of mass principle and defines relevant terms like mass flow rate. It then discusses various forms of mechanical energy and energy conversion efficiencies. Finally, it outlines how the Bernoulli equation is derived from Newton's second law and how the energy equation is developed and applied to fluid mechanics problems.
chemical equilibrium and thermodynamicsAayashaNegi
ย
1. The document discusses key concepts in chemical thermodynamics including the first law of thermodynamics. It defines important terms like system, surroundings, state functions, extensive and intensive properties.
2. The first law states that energy can be transformed but not created or destroyed. For a process, the change in internal energy of a system equals the heat transferred plus work done.
3. Enthalpy is a state function equal to the internal energy plus the product of pressure and volume. For a constant pressure process, the enthalpy change equals the heat transferred.
This document provides an introduction to heat transfer concepts. It defines heat transfer as energy transfer due to temperature differences and describes the three main modes of heat transfer: conduction, convection, and radiation. Conduction occurs through direct contact within a material. Convection involves energy transfer between a surface and moving fluid. Radiation is heat transfer via electromagnetic waves. The document also discusses applications of heat transfer, its relationship to thermodynamics, and the conservation of energy for control volumes and surfaces.
1) Bernoulli's equation states that the total energy of a fluid particle remains constant as it flows through a pipe or channel. This includes the particle's potential energy, kinetic energy, and pressure energy.
2) The document provides an example calculation using Bernoulli's equation to determine the total head of water flowing through a pipe.
3) Bernoulli's equation is derived from Euler's equation for fluid motion and the conservation of energy, based on assumptions of inviscid, incompressible, steady flow along a streamline.
The understanding of two-phase flow and heat transfer
with phase change in minichannels is needed for the design and
optimization of heat exchangers and other industrial
applications. In this study a three-dimensional numerical model
has been developed to predict filmwise condensation heat
transfer inside a rectangular minichannel. The Volume of Fluid
(VOF) method is used to track the vapor-liquid interface. The
modified High Resolution Interface Capture (HRIC) scheme is
employed to keep the interface sharp. The governing equations
and the VOF equation with relevant source terms for
condensation are solved. The surface tension is taken into
account in the modeling and it is evaluated by the Continuum
Surface Force (CSF) approach. The simulation is performed
using the CFD software package, ANSYS FLUENT, and an inhouse
developed code. This in-house code is specifically
developed to calculate the source terms associated with phase
change. These terms are deduced from Hertz-Knudsen equation
based on the kinetic gas theory. The numerical results are
validated with data obtained from the open literature. The
standard k-ฯ model is applied to model the turbulence through
both the liquid and vapor phase. The numerical results show
that surface tension plays an important role in the condensation
heat transfer process. Heat transfer enhancement is obtained
due to the presence of the corners. The surface tension pulls the
liquid towards the corners and reduces the average thermal
resistance in the cross section.
The document provides information on applying Bernoulli's equation and the conservation of mass and energy principles to solve fluid mechanics problems involving pipe flow. It discusses key concepts like:
- Bernoulli's equation relating pressure, velocity, and height.
- How to derive and apply the continuity equation to relate flow rate, velocity, and pipe cross-sectional area.
- The conservation of energy principle and different forms of energy (pressure, potential, kinetic).
- How to set up and solve example problems involving pipe flow and components like nozzles, valves, and changes in pipe diameter or elevation using Bernoulli's equation and accounting for friction losses.
Development of Dynamic Models and AAAA Systematic Approach for Developing Dy...NizarMousa1
ย
This document discusses the development of dynamic models for chemical processes. It begins by presenting models for a blending process and a stirred-tank heating process. For the blending process, mass and component balance equations are derived and simplified. For the heating process, assumptions are made and energy, mass, and component balance equations are developed. The document also discusses degrees of freedom analysis, biological reactions, and fed-batch bioreactors. Modeling objectives, conservation laws, and a systematic approach to developing models are outlined.
The document summarizes key concepts in fluid mechanics including:
1) Types of fluid flow such as steady, unsteady, uniform, and non-uniform flow. It also discusses the continuity, Bernoulli, and momentum equations used to solve fluid problems.
2) Applications of Bernoulli's equation such as flow over weirs, through orifices and pipes, and venturi meters. It also discusses concepts like total energy, hydraulic grade line, and more.
3) Examples are provided calculating velocity, pressure, flow rates, and more at different points in pipe systems using the governing equations.
1) Bernoulli's equation states that for steady flow in an inviscid fluid, the total mechanical energy per unit weight remains constant along a streamline. This includes potential energy, kinetic energy, and pressure energy.
2) It summarizes that an applied force equals the rate of change of mechanical energy, and derives the one-dimensional Euler and Bernoulli equations from conservation of energy and momentum principles.
3) The document provides examples of applying Bernoulli's equation to problems involving pipe flow and nozzle discharge to determine quantities like jet velocity and suction pressure.
This document contains the solutions to homework problems assigned in a thermodynamics course. It provides instructions for submitting homework solutions, including showing all work. It then lists 7 problems and provides the numerical solutions. The problems cover various thermodynamic concepts like the ideal gas law, polytropic processes, work calculations, property tables and definitions.
lecture pf control system_thermal system_206.pdfAtmacaDevrim
ย
The document discusses thermal systems and concepts such as:
- Thermal systems involve the storage and transfer of energy as heat. Heat flows from higher to lower temperatures.
- The law of conservation of energy applies to thermal systems, where the change in internal energy equals heat supplied minus work done.
- Thermal resistance and capacitance relate temperature differences and heat flow in thermal systems, analogous to voltage and capacitance in electrical systems.
- Heat transfer occurs through conduction, convection and radiation, and can be modeled using concepts like Newton's law of cooling.
The document provides an overview of traditional predictive and adaptive software development processes, including waterfall, iterative incremental, and spiral models. It then discusses agile software development processes like Scrum and extreme programming. Key aspects of each methodology are defined such as roles, meetings, user stories, and emphasis on rapid delivery through short iterations. Adaptive methods prioritize quickly adapting to changes while predictive methods focus on detailed long-term planning.
This document discusses key concepts in engineering economy related to time value of money calculations. It covers single payment, uniform series, and gradient cash flow problems. Single payment factors include future value (F/P) and present value (P/F), while uniform series involve annuity due (P/A), annuity (A/P), future value of annuity (F/A), and present value of annuity (A/F). Arithmetic and geometric gradients are also explained. Methods for handling untabulated interest rates or time periods in calculations are provided. Examples demonstrate applications of these time value of money concepts.
This document summarizes key concepts from Chapter 4 of the textbook Engineering Economy. It begins with learning outcomes related to understanding different interest rate terms and calculations. It then defines nominal and effective interest rates, and provides the formula for calculating effective interest rates. Several examples are worked through, including calculations for single cash flows, series cash flows where the payment period is greater than or equal to the compounding period, and calculations involving continuous compounding. The summary emphasizes the important distinction between nominal and effective rates, and how to determine the appropriate interest rate and number of periods for time value of money calculations.
This document provides the teaching plan for the Production Processes course taught by Mr. Juned Riyaz Kazi at AgnelCharitiesโ Fr. C. Rodrigues Institute of Technology. The plan outlines 43 lectures to be conducted from September to October 2023. Each lecture will cover specific content related to production processes like casting, welding, metal forming, machining and advanced manufacturing. The plan details the learning objectives, teaching methodology and assessment for each lecture. It aims to map the lectures to corresponding course outcomes to ensure holistic coverage of the syllabus.
The document discusses key concepts in engineering measurement and experimentation. It defines important terms like sensor, transducer, measurand, and describes the three main stages of a measurement process - detection, signal conditioning, and readout. Direct and indirect comparison methods of measurement are explained. Common types of sensors are described as passive vs. active, analog vs. digital, and deflection vs. null-type. Sources of error in measurements and calibration techniques like single-point and multi-point calibration are also summarized.
This document discusses sources of measurement errors in engineering experiments, including bias errors caused by calibration issues or defective equipment, precision errors from random influences, and illegitimate errors from mistakes. It also defines terms like accuracy, precision, resolution, sensitivity, hysteresis, linearity, threshold, and span used to characterize instrument performance. Examples are provided for calibrating a spring scale and calculating errors.
Understanding Inductive Bias in Machine LearningSUTEJAS
ย
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
ย
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
We have compiled the most important slides from each speaker's presentation. This yearโs compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
ย
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ACEP Magazine edition 4th launched on 05.06.2024Rahul
ย
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
ย
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
ย
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
1. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.1
Lecture 1
The Energy Equation
Derivation and a simple example of its use
CHE 2161/MEC2404 Mechanics of Fluids
Ravi Jagadeeshan
Department of Chemical Engineering
Monash University
2. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.2
Aims of todays lecture
1 Derive the energy equation using control volume analysis
2 Simplify to the case of a one-dimensional inlet and outlet
3 Derive the head form of the energy equation
4 Compare Bernoulli and the energy equations
5 Solve some simple examples
3. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.4
Conservation of mass
Mass flow rate
ฯ1A1V1 = ฯ2A2V2
Control Volume Application of the
First Law of Thermodynamics
4. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.5
Conservation of energy
The rate of change of energy
within the control volume
=
The net rate of flow of energy into the volume
through the control surface
+
net time rate of energy addition
by heat transfer into the volume
โ
net time rate of energy addition
by work out of the volume
5. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.6
Conservation of energy
e = einternal + ekinetic + epotential
d
dt
Z
CV
e ฯ dV
= โ
Z
CS
e ฯ (V ยท n) dA
+
dQ
dt
โ
dW
dt
Q is positive when heat
is added to the system
W is positive when work
is done by the system
6. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.7
Energy per unit mass
e = u +
1
2
V2
+ g z
u is the internal energy
(energy at the molecular scale โ function of temperature)
1
2
V2
is the kinetic energy
g z is the potential energy
7. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.8
Rate of heat transfer
dQ
dt
Represents all the ways in which energy is
exchanged between the control volume
contents and surroundings because of a
temperature difference
Mechanisms include, radiation, convection
and conduction
If the process is adiabatic, the heat transfer
rate is zero
8. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.9
Rate of transfer of work
dW
dt
The rate of transfer of work is also
called the power
Work can be transferred across the
control surface by a moving shaft -
examples include turbines, fans, pumps
Wฬs
Work can also occur when a force
associated with a fluid normal stress
acts over a distance
Wฬp
pressure work (or
flow work)
Rate of work is equal to
force times displacement
per unit time Wฬp =
Z
CS
p (V ยท n) dA
9. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.10
Steady State Energy Equation
d
dt
Z
CV
e ฯ dV
= โ
Z
CS
e ฯ (V ยท n) dA
+
dQ
dt
โ
dW
dt
0 = โ
Z
CS
(u +
1
2
V2
+ g z) ฯ (V ยท n) dA
+
dQ
dt
โ Wฬs โ
Z
CS
p (V ยท n) dA
Z
CS
(u +
1
2
V2
+ g z +
p
ฯ
) ฯ (V ยท n) dA =
dQ
dt
โ Wฬs
10. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.11
Steady State Energy Equation in One-Dimension
If the control volume has a one-dimensional inlet and outlet
Z
CS
(u +
1
2
V2
+ g z +
p
ฯ
) ฯ (V ยท n) dA
= (u2 +
1
2
V2
2 + g z2 +
p2
ฯ2
) mฬ
โ(u1 +
1
2
V2
1 + g z1 +
p1
ฯ1
) mฬ
=
dQ
dt
โ Wฬs
11. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.12
Steady One-Dimensional Flow with Single Inlet and Outlet
q =
1
mฬ
dQ
dt
Energy in per unit mass
w =
1
mฬ
dWฬs
dt
Energy out per unit mass
u1 +
1
2
V2
1 + g z1 +
p1
ฯ1
!
+ q
= u2 +
1
2
V2
2 + g z2 +
p2
ฯ2
!
+ w
First Law of Thermodynamics for a steady
one-dimensional flow with a single inlet and outlet
Each term has a unit of energy per unit mass
12. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.13
Head Form of the Energy Equation
Dividing through out by g leads to the head form of
the energy equation
๏ฃซ
๏ฃญ
u1
g
+
1
2
V2
1
g
+ z1 +
p1
gฯ1
๏ฃถ
๏ฃธ +
q
g
=
๏ฃซ
๏ฃญ
u2
g
+
1
2
V2
2
g
+ z2 +
p2
gฯ2
๏ฃถ
๏ฃธ +
w
g
Each term has units of length (useful for pipe flow
calculations)
13. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.14
Notational Formalities
For pipe flows, we assume the fluid is
incompressible (ฯ1 = ฯ2)
Introduce notation
hq =
q
g
hw =
w
g
Head form of the heat added
Head form of shaft work done
hw = hturbine โ hpump
14. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.15
Rearranging the Head Form of the Energy Equation
u1
g
+
1
2
V2
1
g
+ z1 +
p1
gฯ1
+ hq =
u2
g
+
1
2
V2
2
g
+ z2 +
p2
gฯ2
+ hw
1
2
V2
1
g
+ z1 +
p1
gฯ1
!
=
1
2
V2
2
g
+ z2 +
p2
gฯ2
!
+hturbine โ hpump +
u2 โ u1
g
โ hq
#
1
2
V2
1
g
+ z1 +
p1
gฯ1
!
+ hpump =
1
2
V2
2
g
+ z2 +
p2
gฯ2
!
+hturbine + hfriction
1
2
V2
1
g
+ z1 +
p1
gฯ1
+ hgain =
1
2
V2
2
g
+ z2 +
p2
gฯ2
+ hloss
15. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.16
Power
Power is energy per unit time
P = wmฬ
=
๏ฃซ
๏ฃญ
w
g
๏ฃถ
๏ฃธ ฯ Q g
= hw ฯ Q g
16. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.19
Relation between the Bernoulli and Energy Equations
Steady flow energy equation
u1 +
1
2
V2
1 + g z1 +
p1
ฯ1
+ q =
u2 +
1
2
V2
2 + g z2 +
p2
ฯ2
+ w
1
2
V2
1 + g z1 +
p1
ฯ1
=
1
2
V2
2 + g z2 +
p2
ฯ2
+ (u2 โ u1 โ q) + w
Bernoulli equation
1
2
V2
1 + g z1 +
p1
ฯ1
=
1
2
V2
2 + g z2 +
p2
ฯ2
17. Lecture Aims
Conservation of mass
Conservation of
energy
Energy per unit mass
Rate of heat transfer
Power
Energy Equation
Head Form of the
Energy Equation
Power
A Simple Example
Bernoulli and Energy
Equations
A Second Simple
Example
1.20
Relation between the Bernoulli and Energy Equations
List of assumptions in Bernoulliโs equation
1 Steady Flow
2 Incompressible Flow
3 Frictionless Flow
4 Flow along a single streamline
5 No shaft work between 1 and 2
6 No heat transfer between 1 and 2
18. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.1
Lecture 2
The Energy Equation
Viscous flow in pipes and ducts
CHE 2161/MEC2404 Mechanics of Fluids
Ravi Jagadeeshan
Department of Chemical Engineering
Monash University
19. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.2
Aims of todays lecture
1 Discuss the different flow regimes in pipe flow
2 Compare velocity profiles in fully-developed flow
3 Control volume analysis of flow in a pipe
4 Introduce the Darcy friction factor
5 Calculation of head loss in pipe flow
6 Discuss the role of rough walls and the Moody chart
7 Perform a simple pipe flow calculation
20. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.6
Viscous Flow in Pipes and Ducts
Numerous examples where it is important for daily
operations
Combination of analysis, experimental data and dimensional analysis
is needed for real world problems where viscous effects are important
21. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.7
General Character of Pipe Flow
โข Flow in a pipe may be laminar, transitional or turbulent
โข The Reynolds number
Re =
ฯDV
ยต
which is a ratio of inertial to viscous forces, characterizes
the different flow regimes
22. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.8
Entrance Region and Fully-Developed Flow
โข Boundary layer develops where viscous effects are
important
โข Viscous effects are unimportant in the inviscid core
โข Initial velocity profile changes with distance until the end of
the entrance length `e
โข Entrance length depends on the flow being laminar or
turbulent
`e
D
= 0.06Re (laminar)
`e
D
= 4.4Re
1
6 (turbulent)
23. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.9
Entrance Region and Fully-Developed Flow
Fully developed flow Turbulent profile
โข Velocity profile and shear stress on the wall are constant
beyond the entrance length
โข The flow is called fully-developed in this region
โข The shape of the velocity profile depends on the flow
being laminar or turbulent
24. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.10
Pressure and Shear Stress
If there are no viscous forces, pressure is constant except for
hydrostatic variation
โข Fluid accelerates or
decelerates in the
entrance
regionโthere is a
balance between
inertia, viscous and
pressure forces
โข The magnitude of the
pressure gradient is
larger in the entrance
section than in the
fully-developed
region
โข The pressure drop
4p = p2 โ p1 causes
the fluid to flow in the
fully-developed
region
โข The viscous force is just balanced by the pressure force, and the fluid
flows without acceleration
25. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.11
Flow in a Circular Pipe
We begin with a control volume analysis of the flow between sections 1 and 2
โข The continuity equation is
Q1 = Q2 = constant
or V1 =
Q1
A1
= V2 =
Q2
A2
since the pipe is of constant
area
โข The steady-flow energy
equation reduces to
1
2
V2
1 + gz1 +
p1
ฯ1
=
1
2
V2
2 + gz2 +
p2
ฯ2
+ ghloss
since there are no shaft work
or heat transfer effects
โข The friction-head loss is therefore given by the expression
hloss = 4z +
4p
gฯ
26. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.12
Flow in a Circular Pipe
We now apply the momentum balance to the control volume in
the figure, accounting for applied forces due to pressure,
gravity and shear
4p ฯR2
+ ฯg (ฯR2
) 4 L sin ฯ =
โฯw (2ฯR) 4 L = mฬ (V2 โ V1) = 0
Since
4z = 4L sin ฯ
4z +
4p
gฯ
=
2ฯw
gฯ
4L
R
From our earlier expression for
hloss
hloss =
2ฯw
gฯ
4L
R
We have not assumed laminar or turbulent flow
27. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.13
Flow in a Circular Pipe
โข If we correlate ฯw with flow conditions, we have solved the
problem of head loss in pipe flow
โข We can assume that ฯw depends on the following
variables
ฯw = F(ฯ, V, ยต, D, )
where is the wall roughness
โข Dimensional analysis tells us that since there are 6
variables, and 3 reference dimensions, M, L, and T, there
will be 3 dimensionless groups
ฯw
ฯV2
, Re,
D
โข It is common to introduce a dimensionless parameter
called the Darcy friction factor,
f =
8ฯw
ฯV2
โข In terms of f, we expect to find a correlation, f = F(Re,
D
)
28. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.14
Flow in a Circular Pipe
hloss =
2ฯw
gฯ
4L
R
=
8ฯw
ฯV2
V2
4g
2 4 L
D
or
hloss = f
4L
D
V2
2g
Once we know, f = F(Re,
D
), we know hloss
In laminar flows,
f =
64
Re
can be derived analytically
Wall roughness does not affect laminar flows!
In turbulent flows, for a smooth walled pipe,
1
โ
f
= 2.0 log(Re
โ
f) โ 0.8
cannot be derived analytically
29. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.15
Effect of Rough Walls
โข Turbulent flows are strongly affected by wall roughness
โข The structure and properties of the thin viscous sub-layer
near the wall are significantly influenced by even small
protuberances
30. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.16
Effect of Rough Walls
โข Nikuradse simulated
roughness by gluing
uniform sand grains onto
the inner walls of the pipe
โข After an onset point,
turbulent friction increases
with wall roughness
โข For a given /D, friction
factor becomes constant at
high Reynolds numbers
โข Colebrook devised a clever interpolation formula that
works for smooth and rough walls
1
โ
f
= โ2.0 log
/D
3.7
+
2.51
Re
โ
f
โข The Moody Chart is a plot of this formula
31. Lecture Aims
Example of a
Hydroelectric Power
Plant
Viscous Flow in Pipes
and Ducts
General Character of
Pipe Flow
Entrance Region and
Fully-Developed Flow
Pressure and Shear
Stress
Flow in a Circular Pipe
Effect of Rough Walls
The Moody Chart
Example of a Pipe
Flow Calculation
2.17
The Moody Chart
โข No reliable friction factor for
2000 Re 4000
โข Can be used for design calculations
for circular and non-circular pipe
flows, and open channel flows
โข Roughness table for commercial
pipes
Most useful figure in Fluid Mechanics!
32. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.1
Lecture 3
The Energy Equation
Minor losses due to pipe system components
CHE 2161/MEC2404 Mechanics of Fluids
Ravi Jagadeeshan
Department of Chemical Engineering
Monash University
33. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.2
Aims of todays lecture
1 Discuss the energy grade line and the hydraulic grade line
2 Calculation of minor losses in the pipe flow system
3 Discuss entrance and exit flow conditions
4 Introduce losses in sudden contractions, expansions,
diffusers, valves and bends
5 Perform a simple pipe flow calculation with minor losses
34. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.4
The Energy Grade Line and The Hydraulic Grade Line
Bernoulli Equation
p
ฮณ
+
1
2
V2
g
+ z = constant = H
โข According to the Bernoulli equation, the total
head remains constant along a stream line
โข The elevation head, velocity head and pressure
head may vary along the streamline
โข The energy grade line (EGL) is a line that
represents the total head available to the fluid
35. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.5
The Energy Grade Line and The Hydraulic Grade Line
โข The stagnation point at
the end of the Pitot
tube measures the total
head H of the flow
โข The sum of the
pressure head and
elevation head is called
the piezometric head
p
ฮณ
+ z
โข The Hydraulic Grade Line (HGL) represents the
piezometric head along the flow - the HGL lies a
distance of one velocity head below the EGL
36. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.6
The Energy Grade Line and The Hydraulic Grade Line
โข The EGL is horizontal
and at the elevation of
the liquid in the tank
โข A change in the fluid
velocity due to a
change in the pipe
diameter results in a
change in the elevation
of the HGL
โข The distance from the
pipe to the HGL
indicates the pressure
within the pipe
โข If the pipe lies below the HGL, the pressure within the pipe
is positive
โข If the pipe lies above the HGL, the pressure is negative
โข Regions of positive and negative pressure are readily
indicated when the pipe line and HGL are drawn together
37. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.8
Flow in a Pipe System
hloss = f
V2
2g
!
4L
D
!
4p = f
ฯV2
2
!
4L
D
!
โข The friction factor is found from the Moody chart
f = F(Re,
D
)
โข Its value depends on the flow being Laminar or
Turbulent
โข Most pipe systems consist of additional
components such as valves, bends, tees etc.,
that add to the overall head loss of the system
โข Such losses are termed Minor Losses
38. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.9
Minor Losses
โข Flow through a valve is a
common source of minor
head loss
โข The head loss through the
valve may be a significant
portion of the resistance in
the system
โข Theoretical analysis to predict
head loss through these
components is not yet
possible โ head loss
information is based mostly
on experimental data
โข Losses due to pipe system components are given in terms
of loss coefficients
hloss = Kl
V2
2g
39. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.10
Minor Losses
โข We expect a correlation
Kl = ฯ(geometry, Re)
โข Usually the flow is
dominated by inertial
effects and viscous
effects are not as
important, so
Kl = ฯ(geometry) Flow into a pipe from a reservoir
โข Changes in pipe diameter from one size to another leads
to losses that are not accounted for in the friction factor
calculation
โข Extreme cases are flow into a pipe from a reservoir or out
of a pipe into a reservoir
40. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.11
Entrance Flow Conditions
โข A vena contracta region is
often developed at the
entrance to a pipe
because the fluid cannot
turn a sharp right corner
โข The extra kinetic energy is
partially lost because of
viscous dissipation
โข Figure on right shows
entrance loss coefficient
as a function of rounding
of the inlet edge
โข The loss coefficient for a
square-edged entrance is
approximately Kl = 0.5
41. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.12
Exit Flow Conditions
โข A head loss is also produced when a fluid flows from a
pipe into a tank
โข The entire kinetic energy of the exiting fluid is dissipated
through viscous effects
โข The exit loss in this case is always Kl = 1.0
42. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.13
Sudden Contraction or Expansion
โข Losses also
occur because of
a change in pipe
diameter
โข The sharp edged
entrance and exit
flows are limiting
cases of this
type of flow
Sudden Contraction
Sudden Expansion
43. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.14
Gradual Expansion in a Diffuser
โข For moderate to large angles, the conical diffuser is less
efficient than a sharp-edged expansion!
โข It is difficult to efficiently decelerate a fluid!
44. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.15
Internal Structure of Various Valves
45. Lecture Aims
The Energy Grade
Line and The Hydraulic
Grade Line
Flow in a Pipe System
Minor Losses
Entrance Flow
Conditions
Exit Flow Conditions
Sudden Contraction or
Expansion
Gradual Expansion in
a Diffuser
Internal Structure of
Various Valves
Loss coefficients for
various pipe
components
Example of a pipe flow
calculation
3.16
Loss coefficients for various pipe components
โข A single pipe system
may have many minor
losses
โข The total system loss is
calculated by summing
the major loss and all
the minor losses
โข The length 4L in the
major loss calculation
includes the length in
bends etc
46. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.1
Lecture 4
The Energy Equation
Three types of pipe flow problems and multiple pipe systems
CHE 2161/MEC2404 Mechanics of Fluids
Ravi Jagadeeshan
Department of Chemical Engineering
Monash University
47. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.2
Aims of todays lecture
1 Discuss the energy grade line and the hydraulic grade line
in the presence of minor losses
2 Introduce three types of pipe flow problems
3 Solve examples of Type 2 and Type 3 problems
4 Example of Type 3 problem with minor losses
5 Calculate flows in multiple pipe systems
6 The three reservoir junction problem
48. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.8
Three Types of Pipe Flow Problems
โข The Moody chart can be used to solve most
problems involving friction losses in long pipes
โข However, the Moody chart is a head loss chart,
i.e, given fluid properties, pipe dimensions and
flow rates, we can easily calculate hloss or 4p
โข On the other hand, when we are required to
calculate the flow rate, or pipe dimensions, given
the friction factor f, then an iterative procedure is
required. This is because both D and V are
contained in the ordinate and the abscissa of the
chart
โข Typical pipe flow problems can be classified as
belonging to three types
49. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.9
Three Types of Pipe Flow Problems
Variable Type 1 Type 2 Type 3
a. Fluid
Density
Viscosity
Given
Given
Given
Given
Given
Given
b. Pipe
Diameter
Length
Roughness
Given
Given
Given
Given
Given
Given
Determine
Given
Given
c. Flow
Flow rate or
Average Velocity
Given Determine Given
d. Pressure
Pressure Drop or
head loss
Determine Given Given
50. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.20
Multiple Pipe Systems
โข The governing mechanisms for the flow in
multiple pipe systems are the same as for
single pipe systems
โข Additional complexities arise because of the
number of unknowns involved
51. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.21
Multiple Pipe Systems
โข The simplest multiple pipe
systems can be classified into
series or parallel flows
โข In a series pipe system, the flow
rate is the same in each pipe
Q = Q1 = Q2 = Q3 = . . .
and the head loss is the sum of
the head loss in each pipe
htotal = h1 + h2 + h3 + . . .
โข In general the friction factors will be different for each pipe
because the Reynolds numbers and the relative
roughness will be different
โข Type 1 is straightforward, Types 2 and 3 require iteration
52. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.22
Parallel Pipe Systems
โข In a parallel pipe system, the flow rate is the sum
of the flow rates in each of the pipes,
Q = Q1 + Q2 + Q3 + . . .
โข However, the head loss experienced in each of
the pipes is the same,
hloss = h1 = h2 = h3 = . . .
โข Again, the method of solution depends on what
is given and what is to be calculated
53. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.23
Three Reservoir Pipe Junction
โข Three or more pipes could meet at a junction
โข If all the flows are considered positive toward the junction:
Q1 + Q2 + Q3 = 0
โข This obviously implies that one or two of the flows must be
away from the junction
โข The pressure must change through each pipe so as to
give the same static pressure pJ at the junction
54. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.24
Three Reservoir Pipe Junction
We can write the energy equation from the free surface of each
reservoir to the junction point
1
2
V2
i
g
+ zi +
pi
ฮณ
=
1
2
VJ
2
g
+ zJ +
pJ
ฮณ
+ h(i)
loss ; i = 1, 2, 3
Note that p1 = p2 = p3 = V1 = V2 = V3 = VJ = 0
We then get 3 equations
z1 = zJ +
pJ
ฮณ
+ h(1)
loss
z2 = zJ +
pJ
ฮณ
+ h(2)
loss
z3 = zJ +
pJ
ฮณ
+ h(3)
loss
If we define: hJ =
pJ
ฮณ
+ zJ
z1 โ hJ = h(1)
loss = f1
V1
2
2g
!
4L1
D1
z2 โ hJ = h(2)
loss = f2
V2
2
2g
!
4L2
D2
z3 โ hJ = h(3)
loss = f3
V3
2
2g
!
4L3
D3
55. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.25
Three Reservoir Pipe Junction
The solution is an iterative procedure:
1 Guess the value of hJ and fi
2 Solve the set of equations for V1, V2, V3
3 Check if Q1 + Q2 + Q3 = 0
4 If not repeat the procedure
56. Lecture Aims
Energy grade line and
hydraulic grade line in
pipe flow
Three Types of Pipe
Flow Problems
Example of a Type 2
Problem
Example of a Type 3
Problem
Type 3 Problem with
Minor Losses
Multiple Pipe Systems
Parallel Pipe Systems
Three Reservoir Pipe
Junction
Water Distribution
System
4.26
Water Distribution System
Figure 9.1 Results of a Map Query
. Select a time period in which to query the map from the Map
Browser.
A complex multiple pipe system
58. Example 1: Problem from 2012 S2 Exam
Consider a tank-pipe system, as shown in the figure. The pipe exits from the tank 4 m below the surface of the
water in the tank, has a diameter of 3 cm and length of 5 m. It is designed to deliver water into a reservoir,
which is 2 m below the exit of the pipe, at a flow rate of at least 11 m3/hr. The density of water can be taken to
be 998 kg/m3 and the viscosity to be 0.001 kg/m.s.
59. (a) Calculate the Reynolds number for the expected flow rate.
Re =
๐๐ฃ๐ท
๐
๐ = 11๐3
/โ
Q =
11
3600
= 3.06 ร 10โ3๐3/๐
๐ = ๐ฃ๐ด
=
3.06 ร 10โ3
๐ ร 0.0152
๐ฃ =
๐
๐ด
= 4.323๐๐ โ1
Re =
๐๐ฃ๐ท
๐
Re =
998 ร 4.323 ร 0.003
0.001
Re = 1.29 ร 105
The first decision we need to make is in regard to the characteristic length we need to use in the calculation of
Reynolds number.
Since this is a pipe flow question, the pipe diameter should be used in calculating the Reynolds number.
60. (b) What is the head loss in the pipe at this flow rate?
๐1
๐๐
+
๐ฃ1
2
2๐
+ ๐ง1 =
๐2
๐๐
+
๐ฃ2
2
2๐
+ ๐ง2 + โ๐ฟ
๐1
๐๐
+
๐ฃ1
2
2๐
+ ๐ง1 =
๐2
๐๐
+
๐ฃ2
2
2๐
+ ๐ง2 + โ๐ฟ
โ๐ฟ = ๐ง1 โ ๐ง2 โ
๐ฃ2
2
2๐
โ๐ฟ = ๐ง1 โ ๐ง2 โ
๐ฃ2
2
2๐
โ๐ฟ = 4 โ
4.3232
2 ร 9.81
= 3.046 ๐~3.05 ๐
To determine the head loss, we will need to use our energy equation:
Now we need to identify the points in our system between which we will conduct the analysis
Simplifying to make the head loss the subject of the equation:
61. (c) What is the friction factor for the pipe?
โ๐ฟ = ๐
๐
๐ท
๐ฃ2
2๐
๐ =
โ๐ฟ ร ๐ท ร 2๐
๐ ร ๐ฃ2
๐ =
3.05 ร 0.03 ร 2 ร 9.81
5 ร 4.3232
๐ = 0.0192
We will require our equation for the friction factor:
Rearranging
62. (d) What is the maximum roughness height allowable for the pipe?
๐
๐ ๐
๐
๐ท
๐ ๐ = 1.29 ร 105
๐ = 0.0192
๐
๐ท
= 0.0004
๐ = 0.0004 ร ๐ท = 0.0004 ร 0.03 = 0.000012 ๐ = 0.012 ๐๐
Here we will need to use the Moody chart, which allows the friction factor to be determined given the
Reynolds number and relative roughness.
In this case, we have the friction factor and Reynolds number, so we need to use these to determine the relative
roughness.
This can then be used to determine the actual roughness of the surface.
63. (e) If the Reynolds number is kept equal to its value at the
expected flow rate, and the pipe walls polished to a smooth
surface, what is the percent reduction in the friction factor and
the head loss?
๐
๐ ๐
๐
๐ท
Smooth pipe
๐ = 0.017
% ๐๐๐๐ข๐๐ก๐๐๐ ๐๐ ๐ =
0.019 โ 0.017
0.019
= 10.5%
Here, we need to use the line on the Moody chart for a โsmooth pipeโ.
Using the previously calculated value for Reynolds number, we can read off the friction factor.
64. Example 2: Problem from 2011 S1 Exam
A pipe joins two reservoirs A and B. The elevation of the free surface in tank A is 10 m above that in tank B. The
pipe is 0.2 m diameter, 1000 m in length and has a friction factor of 0.032.
65. (a) What is the flow rate in the pipeline?
๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง1 =
๐๐ต
๐๐
+
๐ฃ๐ต
2
2๐
+ ๐ง2 + โ๐ฟ
๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง๐ด =
๐๐ต
๐๐
+
๐ฃ๐ต
2
2๐
+ ๐ง๐ต + โ๐ฟ
โ๐ฟ = ๐ง๐ด โ ๐ง๐ต
โ๐ฟ = ๐
๐
๐ท
๐ฃ2
2๐
= 10 ๐
๐ฃ2 =
โ๐ฟ ร ๐ท ร 2๐
๐ ร ๐
๐ฃ =
โ๐ฟ ร ๐ท ร 2๐
๐ ร ๐
=
10 ร 0.2 ร 2 ร 9.81
0.032 ร 1000
= 1.107 ๐๐ โ1
๐ = ๐ฃ ร ๐ด
= 1.107 ร ๐ ร 0.12
= 0.0348 ๐3/๐
For the first part of the question, we need to consider just a single pipe between the
reservoirs, and apply the energy equation between the reservoirs (points A and B).
โ๐ฟ = ๐
๐
๐ท
๐ฃ2
2๐
How will we work out the flowrate?
Recall our equation for head loss.
66. (b) It is required to increase the flow to the downstream reservoir by
30%. This is to be done adding a second pipe of the same diameter that
connects at some point along the old pipe and runs down to the lower
reservoir. Assuming the diameter and the friction factor are the same as
the old pipe, how long should the new pipe be? Note that the length of
new pipe from the junction C to the lower reservoir can be assumed to
be the same as the length of the original pipe from C to the lower
reservoir.
๐2 = ๐3 ๐ท2 = ๐ท3
๐ = ๐2 + ๐3
๐ = 1.3 ร 0.03477 = 0.0452๐3/๐
๐2 = ๐3 =
๐
2
=
0.0452
2
= 0.0226 ๐3/๐
The first thing to note is that the dimensions of pipes 2 and 3 are the same. That is:
We wish to increase the flow by 30%. Therefore:
Using conservation of mass and the fact that this is an incompressible fluid:
And given the identical nature of pipes 2 and 3:
67. ๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง๐ด =
๐๐ต
๐๐
+
๐ฃ๐ต
2
2๐
+ ๐ง๐ต + โ๐ฟ
๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง๐ด =
๐๐ต
๐๐
+
๐ฃ๐ต
2
2๐
+ ๐ง๐ต + โ๐ฟ
โ๐ฟ2 = โ๐ฟ3
โ๐ฟ = ๐ง๐ด โ ๐ง๐ต
โ๐ฟ = โ๐ฟ1 + โ๐ฟ2 or โ๐ฟ = โ๐ฟ1 + โ๐ฟ3
In the length 1:
โ ๐ฃ =
๐
๐ด
๐ = ๐ฃ๐ด =
0.0452
๐ ร 0.12 = 1.439 ๐๐ โ1
In the length 2 (or 3):
โ ๐ฃ =
๐
๐ด
๐ = ๐ฃ๐ด =
0.0226
๐ ร 0.12
= 0.7194 ๐๐ โ1
Now we need to apply our energy equation between
points A and B
And so we have:
Important point: the head loss here needs to take into
account the head loss in the single pipe section (1) and
the parallel pipe section comprising (2) and (3).
For the parallel pipe section:
And therefore we can say:
To work out the head loss we will need the fluid
velocity in length (1) and length (2) or (3).
69. Example 3: Problem from 2011 S2 Exam
A parallel galvanized iron pipe system shown in the figure above delivers gasoline at 20ยฐC with a total flow rate
of 0.04 m3/s. The pump is wide open and not running, with a loss coefficient of 1.5. Data ฯ = 680 kg/m3, ฮผ =
2.92 ร 10-4 kg.m/s, ฯต = 0.15 mm.
Tips:
(i) Assume turbulent flow throughout.
(ii) Neglect losses in the bends.
(iii) Iterate once on the friction factor to solve the problem,
with an initial guess that f = 0.025 in both pipes.
70. (a) Assuming that the pressure drop is the same in both legs, show that,
hL1 = hL2 + hpump
where hL1 and hL2 are the major head losses in pipes 1 and 2, respectively,
and hpump is the minor loss in the pump.
๐๐๐
๐๐
+
๐ฃ๐๐
2
2๐
+ ๐ง๐๐ =
๐๐๐ข๐ก
๐๐
+
๐ฃ๐๐ข๐ก
2
2๐
+ ๐ง๐๐ข๐ก + โ๐ฟ1
๐๐๐
๐๐
+
๐ฃ๐๐
2
2๐
+ ๐ง๐๐ =
๐๐๐ข๐ก
๐๐
+
๐ฃ๐๐ข๐ก
2
2๐
+ ๐ง๐๐ข๐ก + โ๐ฟ2 + โ๐๐ข๐๐
Pipe I
โ๐ฟ1 =
๐๐๐ โ๐๐๐ข๐ก
๐๐
Pipe II
โ๐ฟ2 + โ๐๐ข๐๐ =
๐๐๐ โ๐๐๐ข๐ก
๐๐
โด โ๐ฟ1 = โ๐ฟ2 + โ๐๐ข๐๐
In order to answer this question, letโs apply the
energy across each arm of the setup.
71. (b) Determine the flow rate in each pipe
โ๐ฟ1 = ๐1
๐1
๐ท1
๐ฃ1
2
2๐
โ๐ฟ2 = ๐2
๐2
๐ท2
๐ฃ2
2
2๐
โ๐๐ข๐๐ = ๐พ๐ฟ
๐ฃ2
2
2๐
โ๐ฟ1 = โ๐ฟ2 + โ๐๐ข๐๐
๐1
๐1
๐ท1
๐ฃ1
2
2๐
= ๐2
๐2
๐ท2
๐ฃ2
2
2๐
+ ๐พ๐ฟ
๐ฃ2
2
2๐
๐1
๐1
๐ท1
๐ฃ1
2
2๐
=
๐ฃ2
2
2๐
(๐2
๐2
๐ท2
+ ๐พ๐ฟ)
๐๐๐ = ๐1 +๐2
๐๐๐ = 0.04 ๐3
๐๐๐ = ๐ฃ1๐ด1 + ๐ฃ2๐ด2
๐๐๐ = ๐ฃ1
๐๐ท1
2
4
+ ๐ฃ2
๐๐ท2
2
4
0.04 = ๐ฃ1
๐0.0752
4
+ ๐ฃ2
๐0.0252
4
๐ท1 = 0.075 ๐ ๐ท2 = 0.025 ๐
81.487 = 9๐ฃ1 + ๐ฃ2
We have two unknowns here (Q1 and Q2), and so we will
require two equations to determine them.
First, consider the head loss relationship we just derived.
Now, consider conservation of mass (note that this is an
incompressible fluid).
72. ๐1
๐1
๐ท1
๐ฃ1
2
2๐
=
๐ฃ2
2
2๐
(๐2
๐2
๐ท2
+ ๐พ๐ฟ)
81.487 = 9๐ฃ1 + ๐ฃ2
Iterate with a first guess of f1 = f2 = 0.025
0.025
60
0.075
๐ฃ1
2
2 ร 9.81
=
๐ฃ2
2
2 ร 9.81
(0.025
55
0.025
+ 1.5)
1.0194๐ฃ1
2
= 2.8797๐ฃ2
2
๐ฃ1 = 1.6807๐ฃ2
81.487 = 9 ร 1.6807๐ฃ2 +๐ฃ2
๐ฃ2 = 5.053 ๐๐ โ1
๐ฃ1 = 8.492 ๐๐ โ1
๐ฃ1 = 1.6807๐ฃ2
So now we have two equations:
(i)
(ii)
Turning our attention to Equation (ii):
๐1
๐1
๐ท1
๐ฃ1
2
2๐
=
๐ฃ2
2
2๐
(๐2
๐2
๐ท2
+ ๐พ๐ฟ)
Combining with Equation (i)
Solving, we obtain:
73. Arm #1
Re =
๐๐ฃ๐ท
๐
=
680 ร 8.49 ร 0.075
2.92 ร 10โ4
= 1.48 ร 106
๐
๐ท
=
0.15 ร 10โ3
0.075
= 0.002
Arm #2
Re =
๐๐ฃ๐ท
๐
=
680 ร 5.053 ร 0.025
2.92 ร 10โ4 = 2.9 ร 105
๐
๐ท
=
0.15 ร 10โ3
0.025
= 0.006
We now need to continue our iteration by checking the
guess of friction factor in each arm using the
determined fluid velocities.
๐
๐ ๐
๐
๐ท
Using the calculated Re and relative roughness, we can
now use the Moody Chart to determine the friction
factors in each arm.
๐1 = 0.023
๐2 = 0.032
๐1
๐1
๐ท1
๐ฃ1
2
2๐
= ๐2
๐2
๐ท2
๐ฃ2
2
2๐
+ ๐พ๐ฟ
๐ฃ2
2
2๐
โ ๐ฃ1 = 1.9768๐ฃ2
Now we return to the head loss equation:
74. 81.487 = 9๐ฃ1 + ๐ฃ2
๐ฃ1 = 1.9768๐ฃ2
81.487 = (9 ร 1.9768๐ฃ2) + ๐ฃ2
๐ฃ2 = 4.34 ๐๐ โ1
๐ฃ1 = 8.57 ๐๐ โ1
โ ๐2= ๐ฃ2 ร ๐ด2 = 4.34 ร ๐ ร 0.01252 = 0.00213 ๐3/๐
โ ๐1= ๐ฃ1 ร ๐ด1 = 8.57 ร ๐ ร 0.03752
= 0.0379 ๐3
/๐
Arm #1
Re =
๐๐ฃ๐ท
๐
=
680 ร 8.57 ร 0.075
2.92 ร 10โ4
= 1.49 ร 106
Arm #2
Re =
๐๐ฃ๐ท
๐
=
680 ร 4.34 ร 0.025
2.92 ร 10โ4
= 2.53 ร 105
โ ๐1 = 0.023
โ ๐2 = 0.032
Therefore the solution has converged.
Finally, we should check the friction factors again to
confirm that the solution has converged.
Now we can use our two equations (from head loss and
conservation of mass) to determine values for the fluid
velocity in each arm.
Using the velocity we can determine the flowrate in arm 2:
Likewise, we can determine the velocity and flowrate in arm 1:
75. (c) Determine the overall pressure drop
โ๐ฟ1 =
๐๐๐ โ๐๐๐ข๐ก
๐๐
โ๐ฟ2 + โ๐๐ข๐๐ =
๐๐๐ โ๐๐๐ข๐ก
๐๐
= ๐1
๐1
๐ท1
๐ฃ1
2
2๐
โ โ๐ =
๐ ร ๐1 ร ๐1 ร ๐ฃ1
2
2 ร ๐ท1
=
680 ร 0.023 ร 60 ร 8.572
2 ร 0.075
= 459 ๐๐๐
= ๐2
๐2
๐ท2
๐ฃ2
2
2๐
+ ๐พ๐ฟ
๐ฃ2
2
2๐
โ โ๐ =
๐ ร ๐2 ร ๐2 ร ๐ฃ2
2
2 ร ๐ท2
+ ๐พ๐ฟ
๐ ร ๐ฃ2
2
2
โ๐ =
๐ ร ๐2 ร ๐2 ร ๐ฃ2
2
2 ร ๐ท2
+ ๐พ๐ฟ
๐ ร ๐ฃ2
2
2
=
680 ร 0.032 ร 55 ร 4.342
2 ร 0.025
+ 1.5 ร
680 ร 4.342
2
= 460 ๐๐๐
To determine the pressure drop in each arm, we can return to the equations that we
derived via the energy equation. We can choose either (or both) arms.
Letโs check arm 2, which includes the pump.
76. Example 4: Problem from 2012 S1 Exam
Consider a reservoir feeding a pipe, as shown in the figure. The pipe diameter is 100mm and has
length 15m and feeds directly into the atmosphere at point C, which is 4m below the surface of the
reservoir (i.e. za โ zc = 4.0m). The highest point on the pipe is B, which is 1.5m above the surface of
the reservoir (i.e. zb โ za = 1.5m) and 5m along the pipe measured from the reservoir. Assume the
entrance to the pipe to be sharp and the value of friction factor f to be 0.32.
77. (a) Calculate the velocity of water leaving the pipe at point C.
๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง๐ด =
๐๐ถ
๐๐
+
๐ฃ๐ถ
2
2๐
+ ๐ง๐ถ + โ๐ฟ
First, letโs apply the energy equation between points A and C
๐ง๐ด โ ๐ง๐ถ =
๐ฃ๐ถ
2
2๐
+ โ๐ฟ
Note that the head loss includes both:
(i) the major loss due to flow in the pipe; and
(ii) the minor loss due to the pipe entrance.
78. ๐ง๐ด โ ๐ง๐ถ =
๐ฃ๐ถ
2
2๐
+ โ๐ฟ
๐ง๐ด โ ๐ง๐ถ =
๐ฃ๐ถ
2
2๐
+
๐ฃ๐ถ
2
2๐
(๐
๐
๐ท
+ ๐พ๐ฟ)
๐ง๐ด โ ๐ง๐ถ =
๐ฃ๐ถ
2
2๐
(1 + ๐
๐
๐ท
+ ๐พ๐ฟ)
๐ฃ๐ถ
2
=
2๐(๐ง๐ดโ๐ง๐ถ)
(1 + ๐
๐
๐ท
+ ๐พ๐ฟ
)
๐ฃ๐ถ =
2๐(๐ง๐ดโ๐ง๐ถ)
(1 + ๐
๐
๐ท
+ ๐พ๐ฟ)
=
2 ร 9.81 ร 4
(1 + 0.32 ร
15
0.1
+ 0.5)
= 1.26 ๐๐ โ1
Recalling our equation from the previous page:
Incorporating the major loss from the pipe and the minor loss at the pipe entrance:
Factorising
Rearranging
79. (b) Calculate the pressure in the pipe at point B.
๐๐ด
๐๐
+
๐ฃ๐ด
2
2๐
+ ๐ง๐ด =
๐๐ต
๐๐
+
๐ฃ๐ต
2
2๐
+ ๐ง๐ต + โ๐ฟ
๐๐ต
๐๐
= ๐ง๐ด โ ๐ง๐ต โ
๐ฃ๐ต
2
2๐
โ โ๐ฟ
๐๐ต
๐๐
= ๐ง๐ด โ ๐ง๐ต โ
๐ฃ๐ต
2
2๐
โ
๐ฃ๐ต
2
2๐
(๐
๐
๐ท
+ ๐พ๐ฟ)
๐๐ต
๐๐
= โ1.5 โ
1.262
2 ร 9.81
โ
1.262
2 ร 9.81
(0.32 ร
5
0.1
+ 0.5)
๐๐ต
๐๐
= โ1.5 โ 0.081 โ 0.081 ร (16.5)= โ2.918
๐๐ต = โ2.918 ร 9.81 ร 1000 = โ28620 ๐๐ = โ28.6 ๐๐๐
Therefore the pressure is 28.6 kPa below the pressure at point A
๐๐ต
๐๐
= ๐ง๐ด โ ๐ง๐ต โ
๐ฃ๐ต
2
2๐
โ
๐ฃ๐ต
2
2๐
(๐
๐
๐ท
+ ๐พ๐ฟ)
Again, we start with our energy equation.
Include the major loss due to pipe flow and
the minor loss at the pipe entrance:
Rearranging
80. Example 5: Problem from 2013 S1 Exam
Water flows in the pipe shown in the figure below, driven by pressurised air in the tank. (Neglect
minor losses in all calculations below and use the data for water provided in the aide memoire).
๐๐๐๐ ๐๐๐๐๐กโ ๐ = 30 ๐ + 80 ๐ + 60 ๐ = 170 ๐
Note that we are told to neglect the minor
losses due to the bends, pipe entrance etc.
81. (a) Estimate the gauge pressure required to provide a water flow rate Q = 60
m3/h?
๐ = 60๐3
/โ
๐ =
60
3600
= 0.0167๐3
/๐
๐ = ๐ฃ๐ด
๐ฃ =
๐
๐ด
=
0.0167
๐ ร 0.0252
= 8.4883 ๐๐ โ1
Re =
๐๐ฃ๐ท
๐
Re =
1000 ร 8.4883 ร 0.05
1.2 ร 10โ3
Re = 3.5 ร 105
We are going to need the fluid velocity at various points in the calculation, so
letโs start by calculating that.
To determine the friction factor we will need the Reynolds
number.
Firstly, make sure the units are correct.
Now use the volumetric flowrate to determine
the fluid velocity.
82. From the Moody chart with Re = 3.5 ร 105
and a smooth pipe, we can read off:
๐ = 0.014
๐1
๐๐
+
๐ฃ1
2
2๐
+ ๐ง1 =
๐2
๐๐
+
๐ฃ2
2
2๐
+ ๐ง2 + โ๐ฟ
๐1
๐๐
= ๐ง2 โ ๐ง1 +
๐ฃ2
2
2๐
+ โ๐ฟ
๐1
๐๐
= ๐ง2 โ ๐ง1 +
๐ฃ2
2
2๐
+ ๐
๐
๐ท
๐ฃ2
2
2๐
๐1
๐๐
= ๐ง2 โ ๐ง1 +
๐ฃ2
2
2๐
(1 + ๐
๐
๐ท
)
๐1
๐๐
= 70 +
8.48832
2 ร 9.81
(1 + 0.014
170
0.05
) = 248.48
โ ๐1 = 248.48 ร ๐ ร ๐
๐1 = 248.48 ร 1000 ร 9.81
= 248.48 ร 1000 ร 9.81
= 2437545 ๐๐
= 2438 ๐๐๐
Now, return to the energy equation:
Rearranging
Including the major loss from pipe flow:
๐1
๐๐
= ๐ง2 โ ๐ง1 +
๐ฃ2
2
2๐
(1 + ๐
๐
๐ท
)
83. (b) When a pressure p1 = 700 kPa is applied in the setup shown in the figure above, it is
found that gasoline (with density ฯ = 679 kg/m3) flows out of the pipe with a flow rate Q
= 27 m3/h. What is the viscosity of gasoline?
๐1
๐๐
+
๐ฃ1
2
2๐
+ ๐ง1 =
๐2
๐๐
+
๐ฃ2
2
2๐
+ ๐ง2 + โ๐ฟ
๐ = 27 ๐3
/โ
๐ =
27
3600
= 0.0075 ๐3/๐
๐ = ๐ฃ๐ด
๐ฃ =
๐
๐ด
=
0.0075
๐ ร 0.0252
= 3.8197 ๐๐ โ1
โ๐ฟ = ๐
๐
๐ท
๐ฃ2
2
2๐
Again, we are going to need the fluid velocity at various
points in the calculation, so letโs start by calculating that.
Firstly, make sure the units are correct.
Now use the volumetric flowrate to determine
the fluid velocity.
Now letโs return to our energy equation:
The only head loss to be considered is the head
loss due to pipe flow.
โ๐ฟ =
๐1
๐๐
+ ๐ง1 โ ๐ง2 โ
๐ฃ2
2
2๐
How can we get to viscosity? Reynolds number!
How can we get to Reynolds number? Friction factor!
84. โ๐ฟ =
๐1
๐๐
+ ๐ง1 โ ๐ง2 โ
๐ฃ2
2
2๐
โ๐ฟ =
700000
679 ร 9.81
+ 10 โ 80 โ
3.81972
2 ร 9.81
= 34.346 ๐
โ๐ฟ = ๐
๐
๐ท
๐ฃ2
2
2๐
โ ๐ = โ๐ฟ
๐ท
๐
2๐
๐ฃ2
2 = 34.346 ร
0.05
170
ร
2 ร 9.81
3.81972
โ ๐ = 0.0136
Using the Moody chart, for a smooth pipe with f =
0.0136, we can read off a value of Re = 4.66 ร 105.
Re =
๐๐ฃ๐ท
๐
๐ =
679 ร 3.8197 ร 0.05
4.66 ร 105
๐ = 2.78 ร 10โ4๐๐ ๐โ2
โ ๐ =
๐๐ฃ๐ท
๐ ๐
So now we can evaluate our equation for head loss:
We also know:
85. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.1 Boundary Layers โ Introductory Concepts
86. No Slip Boundary Condition
Until now we have often approximated the flow near a solid boundary as having
the same velocity as the flow further away.
i.e. we have ignored viscous effects.
Real flows near a boundary satisfy the No Slip Boundary Condition: The flow
velocity exactly at the boundary must match the velocity of the boundary.
No slip boundary condition:
Velocity of flow at plate
boundary must be zero
87. Boundary Layer Theory: Ludwig Prandtl
Boundary Layers concept - Ludwig Prandtl 1904.
Prior to this theoretic studies ignored viscous effects โ i.e. based on Euler equation (1755).
Prandtl split the flow into 2 regions:
โข Boundary Layer region close to
surfaces where viscous effects are
important.
โข Region outside the boundary layer
where viscous effects are small.
88. Boundary Layers
Boundary Layer (BL): a layer of fluid near a boundary
Weโve talked a lot about viscous forces.
โขViscous forces are important in a BL.
โขOutside BL viscous forces are less important.
โขI.e., the forces of interest relate to significant
velocity gradients in the BL, not outside the BL.
Viscous effects are significant in this region
BL
dy
du
A
F
m
t =
=
92. Credit: Cpl Craig Barrett
ยฉ Commonwealth of Australia, Department of Defence
http://images.airforce.gov.au/fotoweb/archives/5010-Air%20Force%20Images/DefenceImagery/2017/
AIA17_022/20170302raaf8185068_0669.jpg.info#c=%2Ffotoweb%2Farchives%2F5010-Air%2520Force%2520Images%2F
93.
94. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.2 Boundary Layer Analysis
95. Boundary Layers
An understanding of boundary layers for both external and internal flows allows
certain important flow behaviours to be studied:
โข Viscous Flow in Pipes:
o Pressure drop โ losses
โข Flow over immersed Bodies:
o Lift Drag forces
o Flow separation
96. Right at the surface the flow is brought to rest.
Consider a uniform flow approaching a semi-infinite flat plate
Immediately adjacent to the plate flow is slowed by viscosity.
No Slip Boundary Condition
u(y=0) = 0
y
x
97. As flow moves along the plate, the area affected by viscosity will increase.
The boundary layer varies with both input flow and distance along the boundary
Aims of this section:
1.Define the boundary layer thickness: ฮด
2.Define the boundary layer displacement thickness: ฮด*
Boundary
Layer
98. Boundary Layer Thickness: d
Velocity goes from zero at the boundary surface u(y=0) = 0, to the free-stream velocity, Uยฅ at the
edge of the BL.
Difficult to define the exact point where BL ends.
Define edge of BL y = ฮด as point where velocity is 99% of free-stream value, u(y = ฮด) = 0.99Uยฅ
Initially flow inside BL is laminar (smooth)
Boundary
Layer
Flow inside the BL is
slowed by viscous
forces
Uยฅ
y = ฮด
y
x
99. A boundary layer effectively blocks or displaces the flow compared with an inviscid flow.
There is less flow within the boundary layer than there would have been had there been no
boundary layer, i.e., there is less flow compared with an inviscid (no boundary layer) flow.
The effect of the boundary layer is the same as having a blockage in an inviscid flow.
One way to quantify the boundary layer is the height of this blockage.
Define blockage height is the boundary layer displacement thickness d* .
Uยฅ
y
x
d
Reduced mass
flow rate
100. Model the viscous boundary layer as an inviscid flow with a blockage of height d*, where d*
is the boundary layer displacement thickness.
Uยฅ
y
x
d
U
d u
viscous d*
d
U
inviscid
101. Model the viscous boundary layer as an inviscid flow with a blockage of height
d*. where d* is the boundary layer displacement thickness.
Determine d* using the fact that the same mass rate must occur in both cases.
To determine mass flow rate, we need the velocity profile:
โข Inviscid case u(y) = U (constant)
โข Viscous case u(y) = ? โ use an approximate function
U
d u
viscous d*
d
U
inviscid
102. Consider the mass flow rate/unit width through viscous and โinviscid boundary layers:
m = rudA =
0
d
รฒ ru bdy
0
d
รฒ , where b is width
mviscous = minviscid
ru(y) bdy
0
d
รฒ = rU bdy
d*
d
รฒ
u(y) dy
0
d
รฒ =U(d - d*
)
Ud*
=Ud - u(y) dy
0
d
รฒ =U 1dy
0
d
รฒ - u(y) dy
0
d
รฒ
ร d*
= 1-
u(y)
U
รฆ
รจ
รง
รถ
รธ
รทdy
0
d
รฒ
U
d u
viscous
d*
d
U
inviscid
103. Boundary Layer Velocity Profile - Laminar
In order to determine the boundary layer displacement thickness, we need to know u(y).
Some reasonable velocity profiles for a Laminar** BL:
The velocity varies smoothly from 0 at the surface to U at the edge of the boundary layer,
i.e., y = d.
These equations approximate the flow profile inside the BL.
Outside the BL, the velocity is U.
**Laminar flow is smooth, we will consider turbulent BL later.
u(y) =Usin
p
2
y
d
รฆ
รจ
รง
รถ
รธ
รท or u(y) =U 2
y
d
รฆ
รจ
รง
รถ
รธ
รท -
y
d
รฆ
รจ
รง
รถ
รธ
รท
2
รฆ
รจ
รง
รง
รถ
รธ
รท
รท
104. d* - Laminar Boundary Layer
Calculate the boundary layer displacement thickness using the first velocity profile:
If we use the parabolic approximation, d* = 0.33d
d*
= 1-
u(y)
U
รฆ
รจ
รง
รถ
รธ
รทdy
0
d
รฒ , let u(y) =Usin
p
2
y
d
รฆ
รจ
รง
รถ
รธ
รท
d*
= 1-sin
p
2
y
d
รฆ
รจ
รง
รถ
รธ
รท
รฆ
รจ
รง
รถ
รธ
รทdy
0
d
รฒ = y+
2d
p
cos
p
2
y
d
รฆ
รจ
รง
รถ
รธ
รท
รฉ
รซ
รช
รน
รป
รบ
y=0
y=d
= d +0
( )- 0+
2d
p
รฆ
รจ
รง
รถ
รธ
รท =d 1-
2
p
รฆ
รจ
รง
รถ
รธ
รท
d*
= 0.36d
105. Recall the physical meaning of the boundary layer displacement thickness:
A viscous boundary layer with boundary layer thickness ฮด is equivalent to
having an inviscid boundary flow with a blockage ฮด* high.
Where:
U
d u
viscous d*
d
U
inviscid
d*
= 0.36d
106. d* - Turbulent Boundary Layer
The velocity profiles in turbulent flows are different.
After we have explored these differences, we will return to define ฮด* for
turbulent flows.
107. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.3 Boundary Layer Example
108. Exam Question 2008 S2
Air at 15 oC forms a boundary layer near a solid wall. The boundary layer
displacement thickness ฮด* represents the amount that the thickness of the body
must be increased so that an idealized (non-physical) inviscid flow mimics the
actual viscous boundary layer flow.
109. Use the figure above to help you answer the following questions, where d is the
boundary layer thickness, u is the viscous velocity profile as a function of y, and
U is the velocity outside the boundary layer. The velocity distribution in the
boundary layer can be approximated by:
with U = 30 m/s and d = 1 cm. The density of air at 15 oC is 1.22 kg/m3 and the
kinematic viscosity is 1.46x10-5 m2/s.
u
U
=1-exp -
2y
d
รฆ
รจ
รง
รถ
รธ
รท
110. a) In order to calculate d* what property is assumed to be the same in both the
viscous and idealized inviscid flows?
Answer: mass flow rate.
111. b) Given that the mass flow rate per unit width for a non-uniform velocity profile is
calculated using the integral, , show that
m = rudA
0
d
รฒ d*
= 1-
u(y)
U
รฆ
รจ
รง
รถ
รธ
รทdy
0
d
รฒ
รฒ
รฒ
รฒ
รฒ
รฒ
-
=
-
=
-
=
=
=
d
d
d
d
d
d
d
d
d
d
d
d
r
r
r
r
0
*
0
*
*
0
0
'
'
)
(
)
(
)
(
)
(
)
(
*
dy
U
y
u
dy
y
u
U
U
U
U
dy
y
u
Udy
dy
y
u
m
m inviscid
viscous
)
(
1
)
(
1
0
*
0
0
*
รฒ
รฒ
รฒ
รท
รธ
รถ
รง
รจ
รฆ
-
=
-
=
d
d
d
d
d
dy
U
y
u
dy
U
y
u
dy
112. c) What is the viscous shear stress at the wall?
Pa
U
y
dy
du
y
U
dy
du
y
U
y
u
09
.
0
)
1
)(
/
2
(
)
0
(
)
/
(
2
exp
)
/
2
(
/
)
2
exp
1
(
)
(
=
=
=
=
รท
รธ
รถ
รง
รจ
รฆ
-
=
รท
รธ
รถ
รง
รจ
รฆ
-
-
=
d
m
t
m
t
d
d
d
113. d) What is the viscous shear stress at y = 0.5 cm?
e) What is the shear stress outside the boundary layer?
Answer: zero. Velocity uniform. No relative motion between โlayers.โ
Pa
U
y
dy
du
03
.
0
))
1
)(exp(
/
2
(
)
5
.
0
(
)
/
(
=
-
=
=
=
d
m
t
m
t
114. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.4 Viscous Friction Drag in a Boundary Layer
115. How to determine the Drag generated by the boundary layer:
โข Apply the momentum equation to flow moving through a boundary layer control volume.
โข Select a CV that has a streamline as its upper surface.
โข Therefore there is no flow through upper or lower surfaces.
โข Flow on this streamline enters BL at left end of CV.
โข Before we can apply the momentum equation to find the force, we need to determine h.
For this step, we will use the continuity equation.
d
U
u
h y
x
116. ฮด
U
u
h
mass flow rate entering the CV = mass flow rate leaving the CV
Consider a width of flow, b, (which is normal to the page).
min = rUbh
mout = rb u(y)dy
0
d
รฒ
ร rUbh = rb u(y)dy
0
d
รฒ
We could obviously solve for h, but it will
be more convenient to leave our work in
this form.
y
x
117. ฮด
U
u
h
Now apply the momentum equation:
Letโs consider the forces.
The drag force, D, is the force acting on the fluid in the CV, as shown.
Assume that the pressure is approximately constant.
D is the only force:
y
x
Fx
รฅ = Vx rV รnฬdA
CS
รฒ
Fx
รฅ = -D
118. d
U
u
h
D
y
x
Fx
รฅ = Vx rV รnฬdA
CS
รฒ dA = bdy and Fx = -D
รฅ
therefore
-D = br Vx
( ) 2
dy
out
รฒ - br Vx
( ) 2
dy
in
รฒ
-D = br u(y)
[ ]
2
dy
y=0
y=d
รฒ -br U2
dy
y=0
y=h
รฒ
-D = br u(y)
[ ]
2
dy
y=0
y=d
รฒ -brhU2
Recall: Vยทn is
positive for flow out and
negative for flow in.
119. d
U
u
h
D
-D = br u(y)
[ ]
2
dy
y=0
y=d
รฒ -brhU2
Also from continuity:
Substitute into the momentum equation:
rUbh = rb u(y)dy
0
d
รฒ
y
x
[ ]
( )
รฒ
รฒ
รฒ
=
=
=
=
=
=
-
=
-
=
-
d
d
d
r
r
r
y
y
y
y
y
y
dy
y
u
U
y
u
b
D
terms
Collecting
dy
y
u
Ub
dy
y
u
b
D
0
0
0
2
)
(
)
(
)
(
)
(
120. d
U
u
h
D
D = rb u U -u
( )
0
d
รฒ dy
Typically we present this as a non-dimensional drag co-efficient:
CDf =
D
1
2 rU2
bl
Skin Friction Drag Coefficient
y
x
121. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.5 Skin Friction Drag Coefficient and BL
Thickness โ Laminar Flow
122. Using an equation to approximate the velocity profile u(y), we can solve for the
skin friction coefficient (both are estimates for laminar flow).
Approximate velocity profiles for Laminar Boundary Layers:
is the Reynolds number based on the distance along the plate.
This accounts for the fact that the boundary layer height (ฮด) grows with x.
u
U
= sin(
p
2
y
d
)
u
U
= 2(
y
d
) - (
y
d
)2
CDf =
1.31
Rex
CDf =
1.46
Rex
Rex =
rUx
m
D = rb u U -u
( )
0
d
รฒ dy CDf =
D
1
2 rU2
bl
123. Variation of Laminar Boundary Layer along Plate
The boundary Layer grows along the plate.
If we assume a velocity profile apply the momentum continuity equations, we can
solve for d as a function of Re.
The proof requires a differential version of the momentum equations (3rd year fluids).
So weโll just state without proof:
is the Reynolds number based on the distance along the plate.
Uยฅ
y
x
ฮด
x
x Re
5
=
d
Rex =
rUx
m
124. Some numbersโฆ.
Air flows at 1.5 ms -1 past a semi-infinite flat plate. The flow is laminar.
What is the boundary layer thickness at x = 0.4 m along the plate?
d
x
=
5
Rex
where Rex =
rUx
m
r(air) =1.23kg / m3
, dynamic viscosity m(air) =1.8ยด10-5
Nsm-1
, U =1.5ms-1
and x = 0.4
d = 0.4ยด 5ยด
1.23ยด1.5ยด 0.4
1.8ยด10-5
รฆ
รจ
รง
รถ
รธ
รท
-1
2
d =10mm
Uยฅ
y
x
ฮด
125. Repeat for laminar water flow:
d
x
=
5
Rex
where Rex =
rUx
m
r(water) = 998kg / m3
, m(water) =1.2ยด10-3
Nsm-1
, U =1.5ms-1
and x = 0.4
d = 0.4ยด5ยด
9.8ยด1.5ยด0.4
1.2ยด10-3
รฆ
รจ
รง
รถ
รธ
รท
-1
2
d = 2.7mm
Uยฅ
y
x
ฮด
126. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.6 Laminar and Turbulent Flows
127. For flow along a pipe, the characteristic length is the diameter of the pipe โ the length
that most affects the flow.
For flow over a flat plate, the characteristic length is the distance along the plate, as this
is the length that most affects the flow.
At a critical values of Re, there will be a transition from laminar to turbulent flow (more
about this later). This value is different for different types of flows
Rex =
rVx
m
=
inertia forces
viscous forces
Credit: Willem van Aken
CSIRO
http://www.scienceimage.csiro.au/library/equipment
/i/6380/section-of-the-perth-kalgoorlie-water-supply-
pipeline-near-merredin-wa-1976-/
Uยฅ
y
x
ฮด
129. Transition to Turbulence
Laminar
Transition
(laminar or
turbulent)
Turbulent
m
r
=
Vx
Rex
y
x
Factors affecting transition:
โขThe Upstream velocity, U ยฎ Re
โขDistance along plate, x ยฎ Re
โขThe Roughness of the surface
โขThe Turbulence upstream
โขThe Fluid properties
โขThe presence or absence of pressure gradients
130. Transition to Turbulence
Laminar
Transition
Turbulent
y
x
Typically on a flat plate transition occurs around Re โ 5x105.
But depending on other factors (e.g. surface roughness) transition can occur
between Re โ 2x105 to Re โ 3x106.
Transition for flow in a circular pipe occurs about Re โ 2100 to 4000.
Pathline of particle moving
through boundary layer
m
r
=
Vx
Rex
131. Boundary Layer Velocity Profile
Laminar
Transition
Turbulent
y
x
Turbulent boundary layers have different velocity profiles than Laminar
boundary layers.
Therefore there are also different shear stress and skin friction drag within
such boundary layers.
m
r
=
Vx
Rex
133. Boundary Layer Velocity Profile
Turbulent BL profiles are flatter near the surface.
Therefore, the velocity gradient at the surface is higher.
du
dy y=0
laminar
( )
du
dy y=0
turbulent
( )
Boundary layer profiles over a flat plate
Turbulent BL
ฮด
Laminar BL
ฮด
135. Turbulent d, d*, Average CDf
The turbulent boundary layer thickness and
displacement thickness are calculated using
an approximate velocity profile.
One uses the same method as with laminar
boundary profiles.
But an experimental/empirical method is
needed to find the Average Skin Friction Drag
Coefficient since the approximate velocity
profile at the surface is difficult to model.
136. Approximate equations - Turbulent BL
1. Boundary Layer Thickness:
d
x
=
0.37
Rex
1 5
2. Displacement Thickness: d*
=
d
8
3. Average Drag Coefficient: CDf =
0.07
Rex
1 5
These are approximate results.
Exact values also depend on other parameters such as the surface roughness
of the plate.
137. Friction Drag Coefficient for a Flat Plate
Note the difference in CDf for
Laminar and Turbulent BLs, and
the effect of surface roughness ฮต.
Note x = l is the length of the plate.
l
l
l
Re
33
.
1
,
Re
f
laminar
Df,
turbulent
Df,
=
รท
รธ
รถ
รง
รจ
รฆ
=
C
C
e
l
/
e
138. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.7 Effect of Pressure Gradient
139. We are going to consider:
โขThe effect of a pressure gradient.
โขWhat happens when the free-stream velocity varies due to a pressure gradient
(Bernoulli equation)?
โขLaminar turbulent boundary layers behave differently.
โขPositive negative pressure gradients have different effects.
140. Pressure Gradients
In region 1 the free stream velocity increases (approx. as Bernoulliโs) ยฎ pressure decreases
Velocity is
increasing
Pressure is
decreasing
Velocity is
decreasing,
Pressure is
increasing
Region 1 Region 2 Region 3
ยถp
ยถx
0.0
โFavourableโ
pressure gradient
โAdverseโ
pressure gradient.
ยถp
ยถx
0.0
141. Recall the equations for boundary layer growth:
laminar turbulent
Therefore as velocity increases in a favourable pressure gradient, Rex increases
and the rate of boundary layer growth decreases. Thus:
The boundary layer will grow more slowly in a favourable pressure gradient.
Similarly:
The boundary layer will grow more quickly in an adverse pressure gradient.
d
x
=
5
Rex
;
d
x
=
0.37
Rex
1 5
where, Rex =
rUx
m
Effect of Pressure Gradient on BL Growth
ยถp
ยถx
0.0
ยถp
ยถx
0.0
142. Effect of Pressure Gradient on BL Growth
Region 1:
The free stream velocity is increasing the pressure is decreasing.
The boundary layer thickness increases more slowly.
Region 3:
The free stream velocity is decreasing the pressure is increasing.
The boundary layer thickness increases more rapidly.
Flow can separate.
Region 1 Region 2 Region 3
ยถp
ยถx
0.0
โFavourableโ
pressure gradient
โAdverseโ
pressure gradient.
ยถp
ยถx
0.0
143. Flow Separation in an Adverse Pressure Gradient
The descriptions in the above boxes refer to the growth of the boundary layer.
Flow is less likely to separate in a favourable (dp/dx 0) pressure gradient.
Flow more likely to separate in an adverse (dp/dx 0) pressure gradient.
flow reversal
slowly more rapidly
ยถp
ยถx
0.0
ยถp
ยถx
0.0
144. Flow Separation in an Adverse Pressure Gradient
y
d
1.0
0.8
0.6
0.4
0.2
0.0
U
โข Consider first a boundary layer flow (RH velocity profile).
โข As the free-stream velocity decreases, this alters the
velocity profile as shown (LH velocity profiles).
โข Eventually, flow reversal occurs near the surface โ flow
separation.
Decreasing
free stream
velocity
When flow near the surface
reverses (negative U), we say
the flow has separated.
146. Turbulent Boundary Layer Separation
U
y
d
1.0
0.8
0.6
0.4
0.2
0.0
Turbulent
Laminar
Consider difference in velocity profile for turbulent laminar boundary layers.
This affects flow separation.
Velocity of a turbulent BL near the surface
is much larger than that in a laminar BL.
Thus in a turbulent BL flow reversal near
the surface will be more difficult to achieve
as larger changes in velocity there will be
required.
Thus a turbulent BL is more resistant to
flow separation than a Laminar BL
147. For example, flow around a cylinder experiences regions of favourable and adverse pressure
gradients.
Velocity increases from A-C reaching a maximum at C.
Therefore the pressure drops from A-C, reaching a minimum at C.
The pressure gradient is favourable from A-C, ยถp
ยถq
0.0
148. Velocity decreases from C-D.
Therefore pressure increases from C-D,
Pressure gradient is adverse from C-D.
The flow separates at D due to the adverse pressure gradient.
The separated flow generates a relatively constant pressure between D F.
ยถp
ยถq
0.0
149. The point at which separation occurs depends
upon the Reynoldโs number.
An idealized inviscid flow does not separate.
Very low Re flows are close to inviscid.
151. Separation affects the pressure drag (drag due to pressure difference).
Pressure drag directly depends on the pressure recovery i.e. pfront - prear.
Pressure Distribution on a Cylinder
Inviscid flow has full pressure recovery โ
pressure drag is zero.
Turbulent flow separates later therefore
has improved pressure recovery
compared to laminar flow.
For this particular geometry pressure
drag is less for turbulent flow.
152. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.8 Why Turbulent Flow Can Be Good
153. Effect of Separation on Wake Width
Different boundary layers
Different flow separation points
Different wake widths
Different drag
154. If turbulence is induced in the flow before the separation point at D, the flow will remain
attached further.
Thus, separation will be delayed until further along the โtrailingโ surface of the cylinder.
This will lead to a narrower wake and less drag.
Turbulent BL
ฮด
Laminar BL
ฮด
155. Surface roughness changes the BL
In this case, it causes a transition from
laminar to turbulent flow.
Separation is delayed for turbulent BL
(relative to a laminar BL).
This leads to a narrower wake and
thus reduced drag.
Turbulent / Laminar Boundary Layer Separation
156. Wing Vortex Generators
Induce turbulence to delay flow
separation and reduce drag.
NASA
https://www.google.com.au/search?q=wing+slats+nasasource=
lnmstbm=ischsa=Xved=0ahUKEwiXkPmjwpbTAhUJHJQKHVw_
D5YQ_AUIBigBbiw=1360bih=767#tbm=ischq=wing+vortex+
generators+nasaimgrc=RaEsPrHs1a4M3M:spf=646
157. CFD images by Professor Kunio Kuwahara, Institute of Space and Astronautical Science, Japan
(c) ISAS/JAXA, Courtesy of ISAS/JAXA
8.9 Types of Drag
158. Pressure Drag
Consider flow around a flat plate normal to the flow.
Flow separation causes a very large pressure decrease.
Majority of Drag is due to Pressure Drag.
Positive
(relative)
pressure
Negative
(relative)
pressure
-
-
-
-
-
-
-
-
+
+
+
+
+
+
+
+
159. Skin Friction Drag
Consider flow around a flat plate in-line with the flow.
Flow over plate surface is slowed down by viscous forces.
This loss of momentum is described as being caused by โskin frictionโ.
Majority of Drag is due to Skin Friction.
160. Automobile Drag Coefficient
Car drag is a combination of pressure skin friction drag
More streamlined shapes = delayed separation = decreased pressure drag
163. Reduction in Drag
Different types of Drag:
โข Pressure drag (due to flow separation)
โข Skin Friction Drag
โข Wave drag
Need to understand which types of drag
dominate in order to determine how to reduce
the total drag.
If the drag is due to flow separation, we can
often gain by streamlining the object
164. But if skin friction were the dominant source of drag, this approach would not help.
CD = 1.2 CD = 0.12
If the drag is due to flow separation, we can often gain by streamlining the object.
Drag = CD
1
2 rV2
A
( )= CD
1
2 rV2
LD
( )
165. Drag depends on (relative) velocity.
If we reduce relative velocity, we reduce the drag
E.g., Drafting a truck (both with a road speed of V), truck wake generates an
average velocity of Vinduced
( )
A
V
C
Drag 2
2
1
D r
=
Induced air speed
Vtruck relative to
air = V
Vinduced Vcar relative to air
= V - Vinduced
167. Frontal area Coefficient of Drag
0.5 m2
0.35 m2
0.35 m2
0.45 m2
Drag depends on area
If the area is reduced, the drag is reduced.
( )
A
V
C
Drag 2
2
1
D r
=
168. Property Laminar Turbulent
Reynolds No. Lower Higher
Composition Smooth, layered flow
parallel to surface.
Eddies, mixing, momentum
transfer across BL.
Skin Friction Drag (tw) Lower Higher
Velocity Profile Refer to diagram Refer to diagram
Thickness Small Larger grows quickly
Stability Less stable, separates
easily
More stable, resists separation
Summary: Laminar v.Turbulent
183. H2O
0.5 ms-1
Horizontal flat plate
๐ ๐ =
๐๐๐ฅ
๐
The transition from laminar to turbulent is not sharp, but occurs over a range.
Specifically, this transition occurs between 2 ร 105 and 3 ร 106
The value you will find in the text is Recrit = 5 ร 105
๐ฅcrit
laminar
turbulent
184. H2O
0.5 ms-1
Horizontal flat plate
๐ ๐ =
๐๐๐ฅ
๐
So, if Recrit is 5 ร 105, and knowing the density, free stream velocity and dynamic viscosity, we can evaluate
the distance x from the leading edge
This is water, so:
ฯ = 1000 kg m-3
ฮผ = 1.2 ร 10-3 Pa.s
Rearranging the equation, we have:
๐ฅ =
๐ ๐ ร ๐
๐๐
๐ฅ =
5 ร 105 ร 1.2 ร 10โ3๐
1000 ร 0.5
= 1.2 ๐
185. To answer this we need to use one of the formulae for boundary layer thickness.
Remember, we are at the transition from laminar to turbulent at this point, so there is probably justification to use
either the laminar or turbulent boundary layer thickness. Letโs choose laminar.
๐ฟ
๐ฅ
=
5
๐ ๐๐ฅ
๐ ๐๐ฅ =
๐๐๐ฅ
๐
=
1000 ร 0.5 ร 1.2
1.2 ร 10โ3
= 5 ร 105
๐ฟ
๐ฅ
=
5
๐ ๐๐ฅ
=
5
5 ร 105
= 7.1 ร 10โ3
๐ฟ
๐ฅ
= 7.1 ร 10โ3 โ ๐ฟ = 7.1 ร 10โ3 ร 1.2 = 8.5 ร 10โ3๐ = 8.5 ๐๐
186. U ms-1
We know that for laminar flow the boundary layer thickness is given by:
๐ฟ
๐ฅ
=
5
๐ ๐
โ ฮด =
5๐ฅ
๐ ๐
=
5๐ฅ
๐๐๐ฅ
๐
= 5๐ฅ
๐
๐๐๐ฅ
= 5
๐ฅ
๐ฅ
๐
๐๐
= 5
๐
๐๐
๐ฅ = ๐ถ ๐ฅ where ๐ถ = 5
๐
๐๐
187. We are told in the question that the boundary layer thickness is 12 mm at a distance of 1.3 m from the leading edge.
๐ฟ = C ๐ฅ
๐ถ =
๐ฟ
๐ฅ
=
1.2 ร 10โ3
1.3
= 0.0105
188. ๐ฟ = C ๐ฅ
๐ฟ = 0.0105 ๐ฅ
๐ฅ ๐ฟ
0.2 m
2.0 m
20 m
4.7 mm
15 mm
47 mm
189. U = 20 ms-1
2 m
ร
ร
2 m 2 m
๐ฅcrit
Case I Case II
laminar
laminar
turbulent
190. Outside In order to avoid the impact of viscous effects on the velocity profile near the plate
Why?
To assess whether the flow is laminar or turbulent we need to determine the Reynolds number 2 m along the plate.
๐ ๐ =
๐๐๐ฅ
๐
๐ ๐ =
๐๐๐ฅ
๐
=
1.23 ร 20 ร 2.0
1.8 ร 10โ5
= 2.7 ร 106
2.7 ร 106
5 ร 105 โด turbulentโผ
192. ๐ ๐ =
๐๐๐ฅ
๐
The first question we have is which length to
consider as the characteristic length? What do
you think?
The distance along the plate in the direction of
the flow is the characteristic length in relation to
the formation of the boundary layer.
๐ ๐ =
๐๐๐ฅ
๐
=
1000 ร 3 ร 2
1.2 ร 10โ3
= 5 ร 106 โซ 5 ร 105
โด ๐กโ๐ ๐๐๐๐ค ๐๐ ๐ก๐ข๐๐๐ข๐๐๐๐ก
193. We have already established that the flow is turbulent at the edge of the plate.
However, is the flow in the boundary layer turbulent or laminar a distance of 0.4 m from the leading edge? Why
might this be relevant?
We need to know this because whether the flow is laminar or turbulent in the boundary layer will dictate the
thickness of the boundary layer.
๐ ๐ =
๐๐๐ฅ
๐
=
1000 ร 3 ร 0.4
1.2 ร 10โ3
= 1 ร 106 5 ร 105
โด ๐กโ๐ ๐๐๐๐ค ๐๐ ๐ก๐ข๐๐๐ข๐๐๐๐ก
๐ฟ
๐ฅ
=
0.37
๐ ๐๐ฅ
0.2
๐ฟ
๐ฅ
=
0.37
๐ ๐๐ฅ
0.2 โ ๐ฟ =
0.37๐ฅ
๐ ๐๐ฅ
0.2 =
0.37 ร 0.4
1 ร 106 0.2
= 9.3 ร 10โ3 ๐ = 9.3๐๐
194. แถ
๐ = เถฑ ๐๐ข ๐ฆ ๐๐ด
แถ
๐ = ๐๐ ๐ฟ โ ๐ฟโ
ร b
๐ฟโ
=
๐ฟ
8
๐ฟโ
= 0.34๐ฟ
Remember our continuity equation
The issue here is that we do not know the function u(y) in the boundary layer. So can we approximate this somehow?
By offsetting the flow inside the boundary by some distance ฮด*, we can treat the flow as inviscid (i.e., having a uniform
velocity profile with the free stream velocity).
ฮด*
แถ
๐
ฮด
The distance ฮด* can be evaluated using relatively simple expressions:
For turbulent flow:
For laminar flow:
195. Firstly, recall that the flow is turbulent. Therefore:
๐ฟโ
=
๐ฟ
8
= ๐๐ ๐ฟ โ
๐ฟ
8
ร b
= ๐๐
7
8
๐ฟ ร b
แถ
๐ = ๐๐ ๐ฟ โ ๐ฟโ ร b
= 1000 ร 3 ร
7
8
ร 0.009338 ร 10
= 245 ๐๐/๐
196. แถ
๐ = ๐๐
7
8
๐ฟ ร b
๐ฟ
๐ฅ
=
0.37
๐ ๐๐ฅ
0.2 ๐ ๐ =
๐๐๐ฅ
๐
What do we need to
remember about
Reynolds number?
201. Is there flow across the streamline A-B?
Is there flow through the plate? NO!
NO!
QA = volumetric flowrate through the plane A
QB = volumetric flowrate through the plane B
๐๐ด = ๐ ร ๐ฆ๐ด ร ๐
๐๐ต = ๐ ร ๐ฟ๐ต โ ๐ฟ๐ต
โ
ร ๐
๐๐ด = ๐๐ต
202. Recall that this is laminar flow. So what is the equation for ฮด*?
๐ฟโ = 0.34๐ฟ
๐ฟ๐ต
โ
= 0.34๐ฟ๐ต
= 0.038 โ 0.0129 = 0.025 ๐
๐๐ด = ๐ ร ๐ฆ๐ด ร ๐
๐๐ต = ๐ ร ๐ฟ๐ต โ ๐ฟ๐ต
โ
ร ๐
๐๐ด = ๐๐ต
๐ ร ๐ฆ๐ด ร ๐ = ๐ ร ๐ฟ๐ต โ ๐ฟ๐ต
โ
ร ๐
= 0.34 ร 0.038 ๐ = 0.0129 ๐
๐ฆ๐ด = ๐ฟ๐ต โ ๐ฟ๐ต
โ
Now, to determine yA we need to equate the flow through the plane at A with the plane at B
203. At any point on the streamline, the flow through the plane bounded by the streamline and the surface is constant.
๐๐ด = ๐๐ฅ
At any point x we can determine the volumetric flowrate by using ฮด* to approximate flow in the boundary layer by
inviscid flow. Therefore for the plane bounded by the streamline and plate surface we can write:
๐๐ฅ = ๐ ร (๐ฆ๐ฅ โ ๐ฟ๐ฅ
โ
) ร ๐
We can equate this with our expression for QA ๐๐ด = ๐ ร ๐ฆ๐ด ร ๐
๐ ร ๐ฆ๐ด ร ๐ = ๐ ร (๐ฆ๐ฅ โ ๐ฟ๐ฅ
โ
) ร ๐
๐ฆ๐ด = ๐ฆ๐ฅ โ ๐ฟ๐ฅ
โ
๐ฆ๐ฅ = ๐ฆ๐ด + ๐ฟ๐ฅ
โ
Now we simply need to determine ฮดx* as a function of x.
204. ๐ฆ๐ฅ = ๐ฆ๐ด + ๐ฟ๐ฅ
โ
Now we simply need to determine ฮดx* as a function of x.
๐ฟ๐ฅ
๐ฅ
=
5
๐ ๐
โ ฮด๐ฅ =
5๐ฅ
๐ ๐
=
5๐ฅ
๐๐๐ฅ
๐
= 5๐ฅ
๐
๐๐๐ฅ
= 5
๐ฅ
๐ฅ
๐
๐๐
= 5
๐
๐๐
๐ฅ
Recall that this is laminar flow, so we have the following relationship between ฮด and x:
Now, we also know that for a boundary layer incorporating laminar flow:
๐ฟ๐ฅ
โ = 0.34๐ฟ๐ฅ
Combining these we have:
๐ฟ๐ฅ
โ
= 0.34 ร 5
๐
๐๐
๐ฅ = 0.34 ร 5
1.8 ร 10โ5
1.23 ร 1
๐ฅ = 0.0065 ๐ฅ
Therefore we have: ๐ฆ๐ฅ = ๐ฆ๐ด + 0.0065 ๐ฅ
Since yA = 0.025 m (calculated in part f) our final equation is: ๐ฆ๐ฅ = 0.025 + 0.0065 ๐ฅ
205. The first assumption we need to make is that the fluid isโฆ INCOMPRESSIBLE!
This means that Qin = Qx
208. ฮด
u(y)
ฮด
u(y)
U
Actual duct
ฮด*
ฮด
U
Using the displacement thickness
If the dimension of the duct is d ร d m2 (where d is a function of x), then the effective area can be given by:
๐ด๐ฅ = ๐๐ฅ โ 2๐ฟ๐ฅ
โ 2
209. If we want to maintain a constant velocity, we need to flare out the duct so as to maintain the cross-sectional area
as a constant. (We are told this in the question).
If the area at the inlet is 0.3 ร 0.3 m2, and we wish to keep effective area constant throughout the duct, then we will
need to compensate for the displacement thickness as we move further into the duct from the inlet.
๐๐ฅ = 0.3 + 2๐ฟ๐ฅ
โ
As the displacement thickness is a function of the boundary layer thickness, and the boundary layer thickness is a
function of the distance from the leading edge of the surface, then the displacement thickness is also a function
of the distance from the inlet to the duct.
210. ๐ฟ๐ฅ
๐ฅ
=
5
๐ ๐
โ ฮด๐ฅ =
5๐ฅ
๐ ๐
=
5๐ฅ
๐๐๐ฅ
๐
= 5๐ฅ
๐
๐๐๐ฅ
= 5
๐ฅ
๐ฅ
๐
๐๐
= 5
๐
๐๐
๐ฅ
Now, we also know that for a boundary layer incorporating laminar flow:
๐ฟ๐ฅ
โ
= 0.34๐ฟ๐ฅ
Combining these we have:
๐ฟ๐ฅ
โ
= 0.34 ร 5
1.8 ร 10โ5
1.23 ร 0.6
๐ฅ = 0.0084 ๐ฅ
First, recall that we are to assume laminar flow in the boundary layer.
211. ๐๐ฅ = 0.3 + 2๐ฟ๐ฅ
โ
First, recall the expression we derived at (e)
Secondly, recall the expression we derived at (f)
๐ฟ๐ฅ
โ = 0.0084 ๐ฅ
Combining these, we obtain:
๐๐ฅ = 0.3 + 0.0168 ๐ฅ
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5.1 Unsteady Continuity โ Example
213. These slides include copyrighted material from the course textbook:
B.R. Munson, T.H. Okiishi, W.W. Huebsch and A.P. Rothmayer. Fundamentals of
Fluid Mechanics 7th Edition SI Version, John Wiley Sons, Inc., 2013.
These slides are for the use of Monash University students registered in this
course and are not to be further distributed.
The original development of this slide presentation was done by Dr Josie
Carberry and professors who preceded her in this course.
2
214. Review: Continuity Equation
As mass is conserved (canโt be created or destroyed) then the time rate of change of the
system mass = 0. The resulting equation is called the Continuity Equation:
D
Dt
r d
sys
รฒ =
ยถ
ยถt
r
CV
รฒ d+ rV รnฬ
CS
รฒ dA
Time rate of
change of the
mass of the
coincident
system
=
Time rate of change
of the mass of the
contents of the
coincident control
volume
+
Net rate of flow of
mass through the
control surface
ยถ
ยถt
r
CV
รฒ d+ rV รnฬ
CS
รฒ dA = 0
3
215. Review: Steady Continuity Equation
Outlet Surfaces, positive
where is the average velocity
(scalar) across the outlet surfaces
rV รnฬ
CS
รฒ dA = mout
รฅ - min
รฅ = 0
m = rV รnฬ
A
รฒ dA
V รnฬ
m
รฅ out
= rV รnฬ
A,out
รฒ dA
m
รฅ out
= rVA
( )out
V
Inlet Surfaces, negative
where is the average velocity
(scalar) across the inlet surfaces
V รnฬ
( )in
in
in
A
in
A
V
m
dA
n
V
m
r
r
=
ร
-
=
รฅ
รฒ
รฅ
r
,
ห
V
4
216. Example โ Conservation of Mass - Unsteady Flow
(Example 5.5 Munson)
Construction workers in a trench (10ft long, 5ft wide, 8ft deep).
The trench is near an intersection and subject to CO2 influx
from the traffic at a rate of 10ft3/min.
CO2 is heavier than air and will sink to the bottom displacing the
air the workers need to breathe.
Assume negligible mixing between the air and CO2
a) What is the time rate of change of the depth of CO2 in the
trench in ft/min?
b) How long for the level of CO2 to fully engulf the workers (i.e.,
to a 6ft depth)?
5
217. a) Time rate of change of the depth of CO2: Perform an analysis of the total mass
(air + CO2) or the individual masses. Easiest to consider just the mass of CO2.
Must use the full unsteady continuity equation:
ยถ
ยถt
r
CV
รฒ d+ rV รnฬ
CS
รฒ dA = 0
The mass flux, or mass flow rate in
is a constant determined by QCO2.
Mass flow rate out (of CO2) is zero.
accumulation of
mass in CV
ยถ
ยถt
rCO2
CV
รฒ d+ mout, CO2
- min, CO2
= 0
ยถ
ยถt
rCO2
CV
รฒ d = min, CO2
Also d = 50 ft2
( )dh
and m = Qr
218. Time to accumulate a depth of 6 ft:
ยถh
ยถt
= 0.2 ft / min
( )
b) How long for the level of CO2 to fully engulf the workers (6ft depth)?
th=6 ft =
6 ft
( )
0.2 ft / min
( )
= 30min
ยถh
ยถt
50 ft2
( )rCO2
= Qout, CO2
rCO2
ยถh
ยถt
=
Qout, CO2
50 ft2
( )
=
10 ft3
/ min
( )
50 ft2
( )
= 0.2 ft / min
( )
7
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5.2 Moving Non-Deforming CV
220. Sometimes it makes sense to analyze a problem using a moving control volume
W is the fluid velocity seen by an observer moving with the control volume.
V is the velocity seen by a stationary observer in a fixed coordinate system.
VCV is the velocity of the control volume relative to the fixed coordinate system.
V = W + VCV
9
221. Moving Control Volume Example
A stationary nozzle sends a jet of water at 30 m/s onto a curved blade. The blade has a
turning angle of 60o.
The blade is attached to a cart which is moving at 10 m/s to the right. The cross sectional
area of the jet of water is constant throughout, and it has a value of 0.003 m2.
30 m/s
10 m/s
60 0
What is the velocity of
the water as it leaves
the blade?
10
222. Draw a control volume that is attached to the blade and write all velocities relative to this.
30 m/s
10 m/s
60 0
Flow is steady โ doesnโt vary with time.
Velocity of CV also steady โ doesnโt vary with time.
out
in m
m
= rAVout = rAVin
11
223. Change velocities from relative to ground to relative to moving CV.
rAVout = rAVin
Vin = 30 - 10m/s
r A are constant
Vout = 20 m/s (relative to moving CV)
10 m/s
60 0
Vin =
Vjet - Vblade
Vout (relative to the blade)
30 m/s
Need to find velocity
relative to ground
12
224. Change velocities from relative to ground to relative to moving CV.
20 m/s Velocity of the
water relative to the
blade.
Velocity of the blade.
10 m/s
20 m/s
10 m/s
60 0
Velocity of the water at exit
that a stationary observer
would see
26.5 m/s
13
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5.3 Linear Momentum Equation
226. The linear momentum equation is a restatement of Newtonโs Second Law using the
Reynolds Transport Theorem.
Newtonโs Second Law:
Time rate of change of
the linear momentum
of the system
=
Sum of external
forces acting on the
system
rd
Momentum is mass time velocity, therefore the momentum of a small particle of mass
is . Therefore Newtonโs 2nd using a CV approach law becomes:
Vrd
D
Dt
Vr d = Fsys
รฅ
sys
รฒ
Sum of forces on the
coincident control volume
Use Reynolds transport theorem
with Bsys = momentum
(1)
15
227. Reynolds Transport Theorem for Momentum
Reynolds transport theorem tells us the rate at which some property โBโ changes within a CV:
where b = B/mass
Now let:
Bsys = system momentum (mass x velocity)
Thus: b = mV/m = velocity
DBsys
Dt
=
ยถ
ยถt
rb
CV
รฒ d+ rbV รnฬ
CS
รฒ dA
Bsys = Vr d
sys
รฒ
D
Dt
Vr
sys
รฒ d =
ยถ
ยถt
rV
CV
รฒ d+ VrV รnฬ
CS
รฒ dA
Also when a control volume is coincident with a system at an instant of time:
Fsys
รฅ = Fcontents of the CV
รฅ
(2)
(3) 16
228. Combining (2) and (3) into Newtonโs 2nd Law (1):
Gives the Linear Momentum Equation:
D
Dt
Vr d = Fsys
รฅ
sys
รฒ
ยถ
ยถt
rV
CV
รฒ d+ VrV รnฬ
CS
รฒ dA = Fcontents of the CV
รฅ
This is a vector equation โ 3 equations in 3D space, e.g. in Cartesian coordinates:
V = uห
i + vjฬ + wkฬ
ยถ
ยถt
ru
CV
รฒ d+ urV รnฬ
CS
รฒ dA = Fx
รฅ
ยถ
ยถt
rv
CV
รฒ d+ vrV รnฬ
CS
รฒ dA = Fy
รฅ
ยถ
ยถt
rw
CV
รฒ d+ wrV รnฬ
CS
รฒ dA = Fz
รฅ 17
229. Linear Momentum Equation
is a scalar (component of velocity normal to the CV). Conceptually you
can think of it as the velocity that transports the momentum across the
control surface.
The sign of depends upon whether flow is moving in or out of the CV at
that point
The sign of depends on the coordinate system you have chosen and the
component of velocity (u,v,w) you are considering.
Consider the signs of and separately
ยถ
ยถt
rV
CV
รฒ d+ VrV รnฬ
CS
รฒ dA = Fcontents of the CV
รฅ
V รnฬ
V รnฬ
V
V รnฬ V
18
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5.4 Forces on CV
231. The forces on the control volume are body forces and surface forces.
Body forces โ we will only consider gravitational forces.
Surface forces โ we will consider shear, pressure and resultant forces (e.g., drag).
You should always draw a diagram of the forces.
Linear Momentum Equation
ยถ
ยถt
rV
CV
รฒ d+ VrV รnฬ
CS
รฒ dA = Fcontents of the CV
รฅ
20
232. Forces on the Control Volume
Always draw a CV diagram showing the flow and the forces.
21
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5.5 Forces on Fluid and Anchoring Forces
236. Example (Munson example 5.10)
A horizontal jet of water exits a nozzle with a uniform speed of V1 strikes a vane, and it is
turned through and angle ฮธ. The area of the flow remains constant along the vane.
Determine the anchoring force needed to hold the vane stationary if gravity and viscous
effects are negligible.
25
237. X
Z
Fanchor x Fanchor, z
ยถ
ยถt
ru
CV
รฒ d+ urV รnฬ
CS
รฒ dA = Fx
รฅ
26
These equations gives the resultant force on whatever is in the CV.
So, letโs start by thinking about a CV with just the fluid in the CV. And letโs consider the x-direction for now.
1. The force on the LHS of the equation is the sum of all the forces on the CV. Since there are no net
pressure or other forces to take account of, this is equal to Fx, the net resultant force on the fluid. The fluid
comes in purely in the x-direction and turns vertically upwards loosing x-momentum. Therefore we would
expect to calculate that it experiences a net force in the negative x-direction, i.e. a force slowing its
component in the x-direction.
ยถ
ยถt
rw
CV
รฒ d+ wrV รnฬ
CS
รฒ dA = Fz
รฅ
238. X
Z
Fanchor x Fanchor, z
ยถ
ยถt
ru
CV
รฒ d+ urV รnฬ
CS
รฒ dA = Fx
รฅ
27
2. Newton's third law tells us that if the fluid experiences a force in the x direction, Fx , due to the vane
surface, then the vane will experience and equal and opposite force. In this case, the slowing of the
incoming jet will push the vane to the right.
When we talk about an object experiencing a drag force this is what we are discussing โ the object
experiences a net force because it has altered the momentum of the flow around it. The direction of drag
force on an object can be additionally confusing because of the reference frame: here we have a
stationary vane in a moving flow; often when we talk about drag on a car or a bike, we have a moving
vehicle in quasi-stationary air.
239. X
Z
Fanchor x Fanchor, z
ยถ
ยถt
ru
CV
รฒ d+ urV รnฬ
CS
รฒ dA = Fx
รฅ
28
3. Going back to Newton, the anchoring force to hold the vane is equal but opposite to the force on the
vane from the fluid. Now we see that the anchoring force is actually equal in both magnitude and direction
to the force on the fluid in the CV.
4. So if we had drawn the CV to include the vane, the resultant force we calculate from the equation
would be that to anchor the vane. This is exactly the same as the resultant force on the fluid so it doesn't
matter which CV we chose.
240. These equations give the force on the CV, if have CV around just the fluid: Fon fluid = Fx
The force the fluid exerts on the vane, Ffluid on vane,x (also called drag force) is of equal
magnitude but in the opposite direction: Ffluid on vane,x = - Fx
The anchoring force to hold the vane in place is again equal but opposite to the fluid force on
the vane : Fanchoring force, x = + Fx
X
Z
Fanchor x Fanchor, z
29
ยถ
ยถt
ru
CV
รฒ d+ urV รnฬ
CS
รฒ dA = Fx
รฅ
ยถ
ยถt
rw
CV
รฒ d+ wrV รnฬ
CS
รฒ dA = Fz
รฅ
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5.6 Steady Flow Momentum Equation Example 1