The document discusses flow of fluids in pipelines including:
1. Laminar and turbulent flow and the factors that determine the transition between the two such as Reynolds number.
2. Methods for calculating head losses and pressure drops in pipes due to friction including the Darcy-Weisbach equation.
3. Factors that affect friction losses such as pipe roughness, geometry, and flow characteristics.
4. Analysis of flow in non-circular pipes using concepts like hydraulic diameter.
5. Examples of problems calculating flow characteristics like velocity and pressure changes in series and parallel pipe networks.
When water flows through a pipe, pressure drop occurs due to energy losses from friction along the pipe walls. The pressure drop can be determined using equations that account for factors like flow rate, pipe diameter and roughness, fluid properties, and pipe length. Common methods for calculating pressure losses include using the Darcy-Weisbach equation with the Moody chart or Colebrook-White equation to find the friction factor, or using the Hazen-Williams equation which relates head loss to flow rate, pipe diameter, and a roughness coefficient. Minor losses from components like valves and fittings are also considered.
1) The document discusses different types of canal outlets including non-modular and semi-modular outlets. Non-modular outlets include submerged pipe outlets where discharge depends on the head difference between the water course and parent channel.
2) Semi-modular outlets include pipe outlets discharging freely into the atmosphere, Kennedy's gauge outlets, and Crump's open flume outlets where discharge is affected by changes in the parent channel but not the water course.
3) Key characteristics of outlets discussed are flexibility, proportionality, sensitivity, efficiency, minimum modular head, and types include submerged pipe outlets, orifice semi-modules, and Crump's open flume outlets.
This document discusses laminar and turbulent fluid flow in pipes. It defines the Reynolds number and explains that laminar flow occurs at Re < 2000, transitional flow from 2000 to 4000, and turbulent flow over 4000. The entrance length for developing pipe flow profiles is discussed. Fully developed laminar and turbulent pipe flows are compared. Equations are provided for average velocity, shear stress at the wall, and pressure drop based on conservation of momentum and energy analyses. The Darcy friction factor is defined, and methods for calculating it for laminar and turbulent flows are explained, including the Moody chart. Types of pipe flow problems and accounting for minor losses and pipe networks are also summarized.
The document discusses hydraulic principles for analyzing flow through pipes in series and parallel configurations. It provides examples of calculating head loss, equivalent pipe coefficients, and determining flow rates and heads at different points in pipe systems. Sample problems are worked through step-by-step showing computations for pressure and total heads at nodes, equivalent roughness coefficients, head loss, and flow distribution between parallel pipes.
This document discusses pipe flow and fluid mechanics concepts including:
1) Pipes connected in parallel and calculating flow rates using the continuity and energy equations.
2) Branched pipe systems with three reservoirs and calculating unknown flow rates by guessing the total head and applying the continuity and energy equations.
3) Non-stationary pipe flow where the outflow from a reservoir varies with changing pressure levels over time according to integration of the continuity equation.
This document discusses laminar and turbulent flow in pipes. It defines the critical Reynolds number that distinguishes between the two flow regimes. For non-circular pipes, it introduces the hydraulic diameter to characterize the pipe geometry. The document then covers topics such as the developing flow region, fully developed flow profiles and pressure drop, the friction factor, minor losses, pipe networks, and pump selection.
1
KNE351 Fluid Mechanics 1
Laboratory Notes
Broad-Crested Weir
This booklet contains instructions and notes for the experiment listed above.
Additional material relating to laboratory work will be delivered during the
course. The expectations regarding lab work and reporting are described in a
separate document,‘KNE351. FLUIDMECHANICS: Laboratory Method and
Reporting’, which will also be circulated at the beginning of the course. It is
expected that all students study these notes and complete the pre-lab component
prior to the laboratory session. An overview of the laboratory equipment will
be provided at the beginning of each session.
A D Henderson
2
1. Learning Objectives
1. Observe and understand the behaviour of a real fluid flowing over a broad-crested weir,
2. Model this behaviour employing the Continuity and Bernoulli (Energy) Principles to
predict the flow rate from depth measurements.
3. Evaluate these predictions by comparing with measured values and use Specific Energy
to explain the changing nature of the flow over the weir.
2. Introduction
The theory of non-uniform flow in channels is covered by the course text, by many other fluid
mechanics texts, and by several web sites.
The specific energy, E, is the energy at a channel cross-section referred to the base of the
channel (in contrast to the Bernoulli equation, which is referred to a fixed horizontal datum).
The expression given for E is actually an approximation valid for small bed slopes. You've
measured the flume slope, and should examine this approximation in your report. A hydrostatic
pressure distribution is assumed, and you should also examine the validity of this assumption. If
the streamlines are not parallel, then the accelerative forces will modify the pressure - depth
relationship.
In general, two conjugate flows depths satisfy the specific energy equation for a given value of
the specific energy. The greater depth is associated with subcritical flow, and the shallower
depth with supercritical flow. At the critical depth the conjugate depths are equal, and the
discharge for the given specific energy is a maximum.
Broad crested weirs are used as a method of flow measurement in open channel flows. If the
weir is sufficiently high and long, the free surface will drop to critical depth. If the height of
the upstream flow is measured, then the flow rate can be determined.
3
3. Apparatus
• Water flume comprising of pump, control valve, venturi and v-notch flow meters,
downstream control gate.
• depth gauges
• 2 vertical water manometers
• 2 total head tubes
4. Preparation
Examine and sketch the layout of the channel and associated flow measuring equipment.
Measure the channel width and note significant geometrical parameters of the nozzle venturi
meter and V-notch weir. Note the directions of readings of all measuring scales.
a. Measure the channel, weir dimensions, a.
The document discusses flow of fluids in pipelines including:
1. Laminar and turbulent flow and the factors that determine the transition between the two such as Reynolds number.
2. Methods for calculating head losses and pressure drops in pipes due to friction including the Darcy-Weisbach equation.
3. Factors that affect friction losses such as pipe roughness, geometry, and flow characteristics.
4. Analysis of flow in non-circular pipes using concepts like hydraulic diameter.
5. Examples of problems calculating flow characteristics like velocity and pressure changes in series and parallel pipe networks.
When water flows through a pipe, pressure drop occurs due to energy losses from friction along the pipe walls. The pressure drop can be determined using equations that account for factors like flow rate, pipe diameter and roughness, fluid properties, and pipe length. Common methods for calculating pressure losses include using the Darcy-Weisbach equation with the Moody chart or Colebrook-White equation to find the friction factor, or using the Hazen-Williams equation which relates head loss to flow rate, pipe diameter, and a roughness coefficient. Minor losses from components like valves and fittings are also considered.
1) The document discusses different types of canal outlets including non-modular and semi-modular outlets. Non-modular outlets include submerged pipe outlets where discharge depends on the head difference between the water course and parent channel.
2) Semi-modular outlets include pipe outlets discharging freely into the atmosphere, Kennedy's gauge outlets, and Crump's open flume outlets where discharge is affected by changes in the parent channel but not the water course.
3) Key characteristics of outlets discussed are flexibility, proportionality, sensitivity, efficiency, minimum modular head, and types include submerged pipe outlets, orifice semi-modules, and Crump's open flume outlets.
This document discusses laminar and turbulent fluid flow in pipes. It defines the Reynolds number and explains that laminar flow occurs at Re < 2000, transitional flow from 2000 to 4000, and turbulent flow over 4000. The entrance length for developing pipe flow profiles is discussed. Fully developed laminar and turbulent pipe flows are compared. Equations are provided for average velocity, shear stress at the wall, and pressure drop based on conservation of momentum and energy analyses. The Darcy friction factor is defined, and methods for calculating it for laminar and turbulent flows are explained, including the Moody chart. Types of pipe flow problems and accounting for minor losses and pipe networks are also summarized.
The document discusses hydraulic principles for analyzing flow through pipes in series and parallel configurations. It provides examples of calculating head loss, equivalent pipe coefficients, and determining flow rates and heads at different points in pipe systems. Sample problems are worked through step-by-step showing computations for pressure and total heads at nodes, equivalent roughness coefficients, head loss, and flow distribution between parallel pipes.
This document discusses pipe flow and fluid mechanics concepts including:
1) Pipes connected in parallel and calculating flow rates using the continuity and energy equations.
2) Branched pipe systems with three reservoirs and calculating unknown flow rates by guessing the total head and applying the continuity and energy equations.
3) Non-stationary pipe flow where the outflow from a reservoir varies with changing pressure levels over time according to integration of the continuity equation.
This document discusses laminar and turbulent flow in pipes. It defines the critical Reynolds number that distinguishes between the two flow regimes. For non-circular pipes, it introduces the hydraulic diameter to characterize the pipe geometry. The document then covers topics such as the developing flow region, fully developed flow profiles and pressure drop, the friction factor, minor losses, pipe networks, and pump selection.
1
KNE351 Fluid Mechanics 1
Laboratory Notes
Broad-Crested Weir
This booklet contains instructions and notes for the experiment listed above.
Additional material relating to laboratory work will be delivered during the
course. The expectations regarding lab work and reporting are described in a
separate document,‘KNE351. FLUIDMECHANICS: Laboratory Method and
Reporting’, which will also be circulated at the beginning of the course. It is
expected that all students study these notes and complete the pre-lab component
prior to the laboratory session. An overview of the laboratory equipment will
be provided at the beginning of each session.
A D Henderson
2
1. Learning Objectives
1. Observe and understand the behaviour of a real fluid flowing over a broad-crested weir,
2. Model this behaviour employing the Continuity and Bernoulli (Energy) Principles to
predict the flow rate from depth measurements.
3. Evaluate these predictions by comparing with measured values and use Specific Energy
to explain the changing nature of the flow over the weir.
2. Introduction
The theory of non-uniform flow in channels is covered by the course text, by many other fluid
mechanics texts, and by several web sites.
The specific energy, E, is the energy at a channel cross-section referred to the base of the
channel (in contrast to the Bernoulli equation, which is referred to a fixed horizontal datum).
The expression given for E is actually an approximation valid for small bed slopes. You've
measured the flume slope, and should examine this approximation in your report. A hydrostatic
pressure distribution is assumed, and you should also examine the validity of this assumption. If
the streamlines are not parallel, then the accelerative forces will modify the pressure - depth
relationship.
In general, two conjugate flows depths satisfy the specific energy equation for a given value of
the specific energy. The greater depth is associated with subcritical flow, and the shallower
depth with supercritical flow. At the critical depth the conjugate depths are equal, and the
discharge for the given specific energy is a maximum.
Broad crested weirs are used as a method of flow measurement in open channel flows. If the
weir is sufficiently high and long, the free surface will drop to critical depth. If the height of
the upstream flow is measured, then the flow rate can be determined.
3
3. Apparatus
• Water flume comprising of pump, control valve, venturi and v-notch flow meters,
downstream control gate.
• depth gauges
• 2 vertical water manometers
• 2 total head tubes
4. Preparation
Examine and sketch the layout of the channel and associated flow measuring equipment.
Measure the channel width and note significant geometrical parameters of the nozzle venturi
meter and V-notch weir. Note the directions of readings of all measuring scales.
a. Measure the channel, weir dimensions, a.
This document discusses various topics related to pipelines and pipe networks, including:
1) Pipelines consist of connected pipes that allow flow in one direction, while pipe networks can allow branching and parallel flow.
2) Simple pipe flow involves a single pipe of constant diameter. Compound pipe flow includes pipes of varying diameters connected in series or parallel.
3) Problems involving pipe flow can be solved using the energy equation and calculating head losses via Darcy-Weisbach or Hazen-Williams equations.
4) Examples demonstrate solving for flow rates and head losses in single pipes, series and parallel pipe configurations, and pipe networks with pumping and siphons.
This document provides information on calculating head losses in piping systems. It discusses the use of Bernoulli's equation to relate total head between two points in a piping system. It also covers friction losses using the Darcy-Weisbach equation and the Moody diagram, as well as "minor losses" from fittings, valves, etc. The document presents methods to calculate head loss or flow rate given the other, including iterative techniques. It concludes with an example problem calculating maximum flow between reservoirs considering major and minor losses.
CFD Simulation and Analysis of Fluid Flow Parameters within a Y-Shaped Branch...IOSR Journals
This document presents a computational fluid dynamics (CFD) simulation and analysis of fluid flow parameters within a Y-shaped branched pipe. The study models a Y-shaped pipe branch with three 1-inch diameter pipes of equal length and analyzes flow at bend angles of 45°, 60°, 90°, and 180° using ANSYS CFX software. The results show that the resistance coefficient, which indicates pressure loss, increases with bend angle from 45° to 90° but then decreases at 180° due to flow redistributing with less resistance. In conclusion, the CFD analysis validates the practical application of a Y-pipe at a 45° bend angle which results in a resistance coefficient of zero.
The document summarizes several topics related to fluid power engineering:
- Flow through branched pipes, analyzing discharge at pipe junctions using continuity and Bernoulli's equations.
- Syphons, which use pressure differences to transfer liquids over hills using long bent pipes.
- Flow through nozzles, which increase fluid velocity by reducing the pipe cross-sectional area.
- Water hammer effects from sudden valve closures in pipes, generating pressure waves that travel through the fluid.
- Power transmission through pipes using pressure and head from fluid flow.
Here are the key steps to solve this problem using the Hardy Cross Method:
1. Select a loop (ABDE loop) and make initial guesses for the pipe flows (Q1, Q2, Q3, Q4)
2. Compute the head losses (hf1, hf2, hf3, hf4) in each pipe using the pipe characteristics and guessed flows
3. Compute the algebraic sum of the head losses around the loop. This will not equal zero initially.
4. Use the Hardy Cross formula to calculate flow corrections (ΔQ1, ΔQ2, etc.) needed to balance the head losses.
5. Update the pipe flows by adding the corrections.
6.
Here are the key steps to solve this problem using the Hardy Cross Method:
1. Select a loop (ABDE loop) and make initial guesses for the pipe flows (Q1, Q2, Q3, Q4)
2. Compute the head losses (hf1, hf2, hf3, hf4) in each pipe using the pipe characteristics and guessed flows
3. Compute the algebraic sum of the head losses around the loop. This will not equal zero initially.
4. Use the Hardy Cross formula to calculate flow corrections (ΔQ1, ΔQ2, etc.) needed to balance the head losses.
5. Update the pipe flows by adding the corrections.
6.
This document summarizes different types of water distribution systems including branching patterns with dead ends, grid patterns, and grid patterns with loops. It discusses the advantages and disadvantages of each system and provides design considerations for water distribution systems such as minimum pipe diameters, velocity ranges, pressure requirements, and fire flow capacities. Hydraulic analysis methods like the dead-end method and Hardy-Cross method are also overviewed to calculate pipe flows and head losses in distribution networks.
Fluid Mech. Presentation 2nd year B.Tech.shivam gautam
This Presentation covers the following topics-
Series,parallel branching pipes,
equivalent pipe length,
moody's chart
for ppt format contact me on gautam.shivam98@yahoo.com
This document provides a summary of fluid mechanics concepts related to flow through pipes, including:
1. Major and minor energy losses that occur as fluid flows through pipes. Major losses are due to friction while minor losses occur due to changes in flow direction or geometry.
2. Formulas for calculating head loss due to friction, including the Darcy-Weisbach and Chezy formulas.
3. The concept of flow through pipes in series, parallel, and equivalent configurations and how to analyze flow in these systems.
4. Additional concepts covered include syphons, power transmission through pipes, and water hammer effects from sudden valve closure.
This chapter discusses energy losses that occur in pipe networks due to fluid flow. It describes major losses, which are primarily due to friction within the pipe, and minor losses, which are secondary losses caused by changes in pipe diameter, bends, valves, and other components. Methods are provided to calculate the head loss associated with major and minor losses using equations that consider factors like pipe roughness, diameter, flow rate, and geometry of components. Worked examples are also included to demonstrate calculating head losses in pipe networks with pipes arranged in series and parallel configurations.
The document discusses key concepts related to fluid flow discharge including flow through orifices and mouthpieces, Torricelli's theorem, theories of small and large orifice discharge, notches and weirs, and the power of a fluid stream. Examples are provided to demonstrate calculating discharge from an orifice, theoretical discharge through a sluice gate, and estimating electric power output from a hydroelectric plant based on water flow rate and losses.
Flow of incompressible fluids through pipes MAULIKM1
This document discusses fluid flow in pipes. It begins by explaining that fluid flowing in pipes loses energy due to friction between fluid particles and the pipe wall. This friction is proportional to the velocity gradient according to Newton's law of viscosity.
The document then distinguishes between laminar and turbulent flow. Laminar flow is steady and layered, while turbulent flow is unsteady and random. The critical Reynolds number that distinguishes between the two flow types in pipes is also provided.
Finally, the document discusses pressure drop and head loss calculations for fully developed pipe flow. It introduces the Darcy friction factor and explains how dimensional analysis leads to the Moody chart for determining friction factors based on Reynolds number and pipe roughness.
This document contains 8 questions related to mechanics of fluids for an aeronautical engineering exam. The questions cover topics like Darcy's formula for head loss in pipes, Bernoulli's equation, boundary layers, stagnation properties, viscosity, venturimeters, and more. Students are asked to solve problems and derive equations related to fluid flow concepts.
The document is a study sheet on Bernoulli's equation and its applications. It contains 7 practice problems applying Bernoulli's equation to calculate things like water flow rates, pressures at different points, and forces on gates. Diagrams illustrate the hydraulic systems and students are asked to calculate values, sketch graphs, and determine if water levels are rising or falling. The problems involve nozzles, pipes, weirs, and cylinders to demonstrate applications of Bernoulli's equation in hydraulics.
Presentation of project in the course "River Hydraulic for Flood Risk Evaluation" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Alireza Babaee, Maryam Izadifar, Ahmed El-Banna, Budiwan Adi Tirta, Svilen Zlatev
Submitted to:
Professor Alessio Radice
River hydraulic modelling for river Serio (Northern Italy), 2014Alireza Babaee
Presentation of project in the course "River Hydraulic for Flood Risk Evaluation" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Alireza Babaee, Maryam Izadifar, Ahmed El-Banna, Budiwan Adi Tirta, Svilen Zlatev
Submitted to:
Professor Alessio Radice
The document contains 7 practice problems for applying Bernoulli's equation to fluid mechanics situations:
1) Determining the diameter of a jet of water flowing from a tank if the water level remains constant
2) Determining if the water level in a tank with inflows and an outflow weir is rising or falling
3) Calculating pressures and drawing hydraulic grade lines for a pipe system with and without a nozzle
4) Analyzing forces on a vertical gate from upstream water with varying depths
5) Calculating flow rates and pressures at several points in a branched pipeline system
1. The document analyzes a pipe network using the Hardy Cross and Newton-Raphson methods. It provides an example application of each method to solve a single looped pipe network.
2. The Hardy Cross method iteratively calculates discharge corrections for initial assumed flows until the corrections converge to zero. The Newton-Raphson method sets up nonlinear equations for the whole network and solves them simultaneously using partial derivatives and matrix inversion.
3. Both methods are demonstrated on a sample network with four pipes to determine pipe discharges and verify that the algebraic sum of head losses around the loop is zero.
This document discusses fluid flow in pipes. It begins by defining average velocity and laminar versus turbulent flow regimes based on the Reynolds number. It then covers topics such as developing flow, fully developed flow profiles, friction factors, pressure drops, pipe networks, and pump selection. The key points are that laminar flow has a parabolic velocity profile while turbulent flow is more complex, friction factors can be estimated using Moody charts or the Colebrook equation, and head losses consider both pipe friction and minor losses from fittings.
1. The document discusses principles of pipe flow, including siphon action where a pipeline rises above the hydraulic gradient line. It provides equations to calculate head loss due to friction in pipes.
2. An example problem is presented to calculate residual pressure at the end of a pipe outlet for a pumping system with different pipe fittings, applying equations for head loss calculations.
3. Common pipe flow problems like nodal head, discharge, and diameter problems are introduced and equations are provided to solve each type of problem.
This document discusses various topics related to pipelines and pipe networks, including:
1) Pipelines consist of connected pipes that allow flow in one direction, while pipe networks can allow branching and parallel flow.
2) Simple pipe flow involves a single pipe of constant diameter. Compound pipe flow includes pipes of varying diameters connected in series or parallel.
3) Problems involving pipe flow can be solved using the energy equation and calculating head losses via Darcy-Weisbach or Hazen-Williams equations.
4) Examples demonstrate solving for flow rates and head losses in single pipes, series and parallel pipe configurations, and pipe networks with pumping and siphons.
This document provides information on calculating head losses in piping systems. It discusses the use of Bernoulli's equation to relate total head between two points in a piping system. It also covers friction losses using the Darcy-Weisbach equation and the Moody diagram, as well as "minor losses" from fittings, valves, etc. The document presents methods to calculate head loss or flow rate given the other, including iterative techniques. It concludes with an example problem calculating maximum flow between reservoirs considering major and minor losses.
CFD Simulation and Analysis of Fluid Flow Parameters within a Y-Shaped Branch...IOSR Journals
This document presents a computational fluid dynamics (CFD) simulation and analysis of fluid flow parameters within a Y-shaped branched pipe. The study models a Y-shaped pipe branch with three 1-inch diameter pipes of equal length and analyzes flow at bend angles of 45°, 60°, 90°, and 180° using ANSYS CFX software. The results show that the resistance coefficient, which indicates pressure loss, increases with bend angle from 45° to 90° but then decreases at 180° due to flow redistributing with less resistance. In conclusion, the CFD analysis validates the practical application of a Y-pipe at a 45° bend angle which results in a resistance coefficient of zero.
The document summarizes several topics related to fluid power engineering:
- Flow through branched pipes, analyzing discharge at pipe junctions using continuity and Bernoulli's equations.
- Syphons, which use pressure differences to transfer liquids over hills using long bent pipes.
- Flow through nozzles, which increase fluid velocity by reducing the pipe cross-sectional area.
- Water hammer effects from sudden valve closures in pipes, generating pressure waves that travel through the fluid.
- Power transmission through pipes using pressure and head from fluid flow.
Here are the key steps to solve this problem using the Hardy Cross Method:
1. Select a loop (ABDE loop) and make initial guesses for the pipe flows (Q1, Q2, Q3, Q4)
2. Compute the head losses (hf1, hf2, hf3, hf4) in each pipe using the pipe characteristics and guessed flows
3. Compute the algebraic sum of the head losses around the loop. This will not equal zero initially.
4. Use the Hardy Cross formula to calculate flow corrections (ΔQ1, ΔQ2, etc.) needed to balance the head losses.
5. Update the pipe flows by adding the corrections.
6.
Here are the key steps to solve this problem using the Hardy Cross Method:
1. Select a loop (ABDE loop) and make initial guesses for the pipe flows (Q1, Q2, Q3, Q4)
2. Compute the head losses (hf1, hf2, hf3, hf4) in each pipe using the pipe characteristics and guessed flows
3. Compute the algebraic sum of the head losses around the loop. This will not equal zero initially.
4. Use the Hardy Cross formula to calculate flow corrections (ΔQ1, ΔQ2, etc.) needed to balance the head losses.
5. Update the pipe flows by adding the corrections.
6.
This document summarizes different types of water distribution systems including branching patterns with dead ends, grid patterns, and grid patterns with loops. It discusses the advantages and disadvantages of each system and provides design considerations for water distribution systems such as minimum pipe diameters, velocity ranges, pressure requirements, and fire flow capacities. Hydraulic analysis methods like the dead-end method and Hardy-Cross method are also overviewed to calculate pipe flows and head losses in distribution networks.
Fluid Mech. Presentation 2nd year B.Tech.shivam gautam
This Presentation covers the following topics-
Series,parallel branching pipes,
equivalent pipe length,
moody's chart
for ppt format contact me on gautam.shivam98@yahoo.com
This document provides a summary of fluid mechanics concepts related to flow through pipes, including:
1. Major and minor energy losses that occur as fluid flows through pipes. Major losses are due to friction while minor losses occur due to changes in flow direction or geometry.
2. Formulas for calculating head loss due to friction, including the Darcy-Weisbach and Chezy formulas.
3. The concept of flow through pipes in series, parallel, and equivalent configurations and how to analyze flow in these systems.
4. Additional concepts covered include syphons, power transmission through pipes, and water hammer effects from sudden valve closure.
This chapter discusses energy losses that occur in pipe networks due to fluid flow. It describes major losses, which are primarily due to friction within the pipe, and minor losses, which are secondary losses caused by changes in pipe diameter, bends, valves, and other components. Methods are provided to calculate the head loss associated with major and minor losses using equations that consider factors like pipe roughness, diameter, flow rate, and geometry of components. Worked examples are also included to demonstrate calculating head losses in pipe networks with pipes arranged in series and parallel configurations.
The document discusses key concepts related to fluid flow discharge including flow through orifices and mouthpieces, Torricelli's theorem, theories of small and large orifice discharge, notches and weirs, and the power of a fluid stream. Examples are provided to demonstrate calculating discharge from an orifice, theoretical discharge through a sluice gate, and estimating electric power output from a hydroelectric plant based on water flow rate and losses.
Flow of incompressible fluids through pipes MAULIKM1
This document discusses fluid flow in pipes. It begins by explaining that fluid flowing in pipes loses energy due to friction between fluid particles and the pipe wall. This friction is proportional to the velocity gradient according to Newton's law of viscosity.
The document then distinguishes between laminar and turbulent flow. Laminar flow is steady and layered, while turbulent flow is unsteady and random. The critical Reynolds number that distinguishes between the two flow types in pipes is also provided.
Finally, the document discusses pressure drop and head loss calculations for fully developed pipe flow. It introduces the Darcy friction factor and explains how dimensional analysis leads to the Moody chart for determining friction factors based on Reynolds number and pipe roughness.
This document contains 8 questions related to mechanics of fluids for an aeronautical engineering exam. The questions cover topics like Darcy's formula for head loss in pipes, Bernoulli's equation, boundary layers, stagnation properties, viscosity, venturimeters, and more. Students are asked to solve problems and derive equations related to fluid flow concepts.
The document is a study sheet on Bernoulli's equation and its applications. It contains 7 practice problems applying Bernoulli's equation to calculate things like water flow rates, pressures at different points, and forces on gates. Diagrams illustrate the hydraulic systems and students are asked to calculate values, sketch graphs, and determine if water levels are rising or falling. The problems involve nozzles, pipes, weirs, and cylinders to demonstrate applications of Bernoulli's equation in hydraulics.
Presentation of project in the course "River Hydraulic for Flood Risk Evaluation" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Alireza Babaee, Maryam Izadifar, Ahmed El-Banna, Budiwan Adi Tirta, Svilen Zlatev
Submitted to:
Professor Alessio Radice
River hydraulic modelling for river Serio (Northern Italy), 2014Alireza Babaee
Presentation of project in the course "River Hydraulic for Flood Risk Evaluation" for M.Sc. "Civil Engineering for Risk Mitigation" at Politecnico di Milano.
Submitted by:
Alireza Babaee, Maryam Izadifar, Ahmed El-Banna, Budiwan Adi Tirta, Svilen Zlatev
Submitted to:
Professor Alessio Radice
The document contains 7 practice problems for applying Bernoulli's equation to fluid mechanics situations:
1) Determining the diameter of a jet of water flowing from a tank if the water level remains constant
2) Determining if the water level in a tank with inflows and an outflow weir is rising or falling
3) Calculating pressures and drawing hydraulic grade lines for a pipe system with and without a nozzle
4) Analyzing forces on a vertical gate from upstream water with varying depths
5) Calculating flow rates and pressures at several points in a branched pipeline system
1. The document analyzes a pipe network using the Hardy Cross and Newton-Raphson methods. It provides an example application of each method to solve a single looped pipe network.
2. The Hardy Cross method iteratively calculates discharge corrections for initial assumed flows until the corrections converge to zero. The Newton-Raphson method sets up nonlinear equations for the whole network and solves them simultaneously using partial derivatives and matrix inversion.
3. Both methods are demonstrated on a sample network with four pipes to determine pipe discharges and verify that the algebraic sum of head losses around the loop is zero.
This document discusses fluid flow in pipes. It begins by defining average velocity and laminar versus turbulent flow regimes based on the Reynolds number. It then covers topics such as developing flow, fully developed flow profiles, friction factors, pressure drops, pipe networks, and pump selection. The key points are that laminar flow has a parabolic velocity profile while turbulent flow is more complex, friction factors can be estimated using Moody charts or the Colebrook equation, and head losses consider both pipe friction and minor losses from fittings.
1. The document discusses principles of pipe flow, including siphon action where a pipeline rises above the hydraulic gradient line. It provides equations to calculate head loss due to friction in pipes.
2. An example problem is presented to calculate residual pressure at the end of a pipe outlet for a pumping system with different pipe fittings, applying equations for head loss calculations.
3. Common pipe flow problems like nodal head, discharge, and diameter problems are introduced and equations are provided to solve each type of problem.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
2. Branching Pipes
A simple branching-pipe system
Adding a parallel pipe to the original pipe
A δZ
B
3. Example
A pipe joins two reservoirs whose head difference is 10m. The pipe is 0.2 m
diameter, 1000m in length and has a f value of 0.008. a) What is the flow in the
pipeline? 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?
7. Problem Description:
Given:
Reservoir elevations, sizes of pipes ,friction factor,
minor loss coefficients and fluid properties
Required: Flow through each pipe and head losses
Expect the flow direction in the flowing figure?
Flow Between Reservoirs
9. Note the sign convention: QJA is the flow from J to
A; it will be negative if the flow actually goes from
A to J.
The direction of flow in any pipe is always from
high head to low head.
The problem and its solution method can be
generalized to any number of reservoirs.
10. Solution Procedure:
1. Establish the head loss vs discharge equations
for each pipe.
2. Guess an initial head at the junction, HJ .
3. Calculate flow rates in all pipes (from the
head differences)
4. Calculate net flow out of J.
5. If necessary, adjust HJ to reduce any flow
imbalance and repeat from (3)
11. If the direction of flow in a pipe, say JB, is
not obvious then a good initial guess is to
set HJ = HB so that there is initially no flow
in this pipe. The first flow-rate calculation
will then establish whether H J should be
lowered or raised and hence the direction
of flow in this pipe.
Important Note
12. Example 1
Reservoirs A, B and C have constant water levels of 150, 120
and 90 m respectively above datum and are connected by
pipes to a single junction J at unknown elevation. The
length (L), diameter (D), friction factor (f ) and minor-loss
coefficient (K) of each pipe are given below. Calculate:
(a) Calculate the flow in each pipe.
(b) Calculate the pressure at the junction J.
14. The value of HJ is varied until the net flow out of J is 0·
•If there is net flow into the junction then HJ needs to be
raised.
•If there is net flow out of the junction then HJ needs to be
lowered.
After the first two guesses at HJ, subsequent iterations are
guided by interpolation.
15. The quantity of flow in each pipe is given in the bottom
row of the table, with the direction implied by the sign.