The chapter discusses fluid flow concepts and basic equations. It introduces key concepts like laminar and turbulent flow, steady and unsteady flow, uniform and non-uniform flow, rotational and irrotational flow, and one-dimensional, two-dimensional, and three-dimensional flow. It also discusses streamlines, pathlines, control volumes, and Reynolds transport equation. The objective is to build basic equations for ideal fluids, revise solutions using experimental data, and obtain results applicable to actual situations.
This document discusses fluid kinematics and the geometry of fluid motion. It defines key concepts like streamlines, pathlines, and streaklines used to visualize and describe fluid flow patterns. Lagrangian and Eulerian approaches to analyzing fluid motion are introduced. The document also covers fluid properties like compressibility, types of flow such as laminar vs. turbulent, and the continuity equation used in fluid analysis.
This document discusses key concepts in fluid dynamics, including:
(i) Fluid kinematics describes fluid motion without forces/energies, examining geometry of motion through concepts like streamlines and pathlines.
(ii) Fluids can flow steadily or unsteadily, uniformly or non-uniformly, laminarly or turbulently depending on properties of the flow and fluid.
(iii) The continuity equation states that mass flow rate remains constant for an incompressible, steady flow through a control volume according to the principle of conservation of mass.
Fluid Mechanics Chapter 3. Integral relations for a control volumeAddisu Dagne Zegeye
Introduction, physical laws of fluid mechanics, the Reynolds transport theorem, Conservation of mass equation, Linear momentum equation, Angular momentum equation, Energy equation, Bernoulli equation
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...zoya rizvi
This document discusses computational fluid dynamics (CFD) and its application to aerodynamics. It begins by introducing CFD and the governing equations of fluid dynamics - the continuity, momentum, and energy equations. These partial differential equations can be used to model fluid flow. The document then examines the finite control volume approach and substantial derivative used to develop the Navier-Stokes equations from fundamental principles. An example application of CFD to aerodynamics is provided. The document aims to explain the methodology of CFD, including establishing the governing equations and interpreting results.
Fluid mechanics - Motion of Fluid Particles and StreamViraj Patel
- Fluid mechanics is the study of fluid motion and the forces acting on fluids. This includes fluid kinematics, which is the study of fluid motion without considering forces.
- There are different frames of reference to describe fluid motion - Lagrangian refers to individual fluid particles, Eulerian refers to fixed points in space.
- Fluid flow can be classified as steady or unsteady, uniform or non-uniform, laminar or turbulent. The continuity equation expresses conservation of mass and relates flow properties between different flow sections.
This document discusses fluid kinematics and the continuity equation of steady flow. It defines fluid kinematics as the study of fluid motion without considering forces, and describes the continuum hypothesis where local velocity is a function of space and time. It also defines streamlines, pathlines, and streaklines. Finally, it derives the continuity equation for steady flow in a streamtube by considering the mass flow rate through cross sections must be equal.
1) The document describes different methods for analyzing fluid motion, including the Lagrangian and Eulerian methods. The Lagrangian method follows individual fluid particles, while the Eulerian method examines velocity at fixed points in space.
2) It also defines key concepts in fluid motion, such as uniform versus non-uniform flow, steady versus unsteady flow, streamlines, and one-dimensional versus multi-dimensional flow.
3) The key differences between the Lagrangian and Eulerian methods are discussed, as well as how streamlines and stream tubes relate to velocity fields in steady fluid flows.
1) The document discusses fluid kinematics and dynamics, including concepts like streamlines, pathlines, and the continuity equation.
2) The continuity equation states that the rate of decrease of mass within a control volume is equal to the net rate of outflow. It is derived by applying the principle of conservation of mass to a fluid streamtube.
3) The three-dimensional continuity equation in Cartesian coordinates is presented as a partial differential equation relating the fluid density and velocity components in the x, y, and z directions.
This document discusses fluid kinematics and the geometry of fluid motion. It defines key concepts like streamlines, pathlines, and streaklines used to visualize and describe fluid flow patterns. Lagrangian and Eulerian approaches to analyzing fluid motion are introduced. The document also covers fluid properties like compressibility, types of flow such as laminar vs. turbulent, and the continuity equation used in fluid analysis.
This document discusses key concepts in fluid dynamics, including:
(i) Fluid kinematics describes fluid motion without forces/energies, examining geometry of motion through concepts like streamlines and pathlines.
(ii) Fluids can flow steadily or unsteadily, uniformly or non-uniformly, laminarly or turbulently depending on properties of the flow and fluid.
(iii) The continuity equation states that mass flow rate remains constant for an incompressible, steady flow through a control volume according to the principle of conservation of mass.
Fluid Mechanics Chapter 3. Integral relations for a control volumeAddisu Dagne Zegeye
Introduction, physical laws of fluid mechanics, the Reynolds transport theorem, Conservation of mass equation, Linear momentum equation, Angular momentum equation, Energy equation, Bernoulli equation
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...zoya rizvi
This document discusses computational fluid dynamics (CFD) and its application to aerodynamics. It begins by introducing CFD and the governing equations of fluid dynamics - the continuity, momentum, and energy equations. These partial differential equations can be used to model fluid flow. The document then examines the finite control volume approach and substantial derivative used to develop the Navier-Stokes equations from fundamental principles. An example application of CFD to aerodynamics is provided. The document aims to explain the methodology of CFD, including establishing the governing equations and interpreting results.
Fluid mechanics - Motion of Fluid Particles and StreamViraj Patel
- Fluid mechanics is the study of fluid motion and the forces acting on fluids. This includes fluid kinematics, which is the study of fluid motion without considering forces.
- There are different frames of reference to describe fluid motion - Lagrangian refers to individual fluid particles, Eulerian refers to fixed points in space.
- Fluid flow can be classified as steady or unsteady, uniform or non-uniform, laminar or turbulent. The continuity equation expresses conservation of mass and relates flow properties between different flow sections.
This document discusses fluid kinematics and the continuity equation of steady flow. It defines fluid kinematics as the study of fluid motion without considering forces, and describes the continuum hypothesis where local velocity is a function of space and time. It also defines streamlines, pathlines, and streaklines. Finally, it derives the continuity equation for steady flow in a streamtube by considering the mass flow rate through cross sections must be equal.
1) The document describes different methods for analyzing fluid motion, including the Lagrangian and Eulerian methods. The Lagrangian method follows individual fluid particles, while the Eulerian method examines velocity at fixed points in space.
2) It also defines key concepts in fluid motion, such as uniform versus non-uniform flow, steady versus unsteady flow, streamlines, and one-dimensional versus multi-dimensional flow.
3) The key differences between the Lagrangian and Eulerian methods are discussed, as well as how streamlines and stream tubes relate to velocity fields in steady fluid flows.
1) The document discusses fluid kinematics and dynamics, including concepts like streamlines, pathlines, and the continuity equation.
2) The continuity equation states that the rate of decrease of mass within a control volume is equal to the net rate of outflow. It is derived by applying the principle of conservation of mass to a fluid streamtube.
3) The three-dimensional continuity equation in Cartesian coordinates is presented as a partial differential equation relating the fluid density and velocity components in the x, y, and z directions.
This document provides an overview of fluid kinematics concepts including:
1. The types of fluid flow are defined such as real vs ideal, laminar vs turbulent, steady vs unsteady, uniform vs non-uniform, and one, two, and three dimensional flows.
2. Fluid kinematics variables like velocity, acceleration, and pressure fields are introduced. Streamlines, streamtubes, vorticity, and circulation are also defined.
3. The conservation of mass principle (continuity equation) is presented for one, two, and three dimensional steady and unsteady compressible/incompressible flows.
This chapter discusses differential analysis of fluid flow. It introduces the concepts of stream function and vorticity. The key equations derived are:
1) The differential equations of continuity, linear momentum, and mass conservation which relate the time rate of change of fluid properties like density and velocity within an infinitesimal control volume.
2) The Navier-Stokes equations which model viscous flow using Newton's laws and relate stresses to strain rates via viscosity.
3) Equations for inviscid, irrotational flow where viscosity and vorticity are neglected.
4) The stream function, a potential function whose contour lines represent streamlines, allowing 2D problems to be solved using a
The document summarizes key concepts related to fluid mechanics including:
1) It defines different terms used to describe fluid motion such as streamlines, pathlines, and streamtubes.
2) It classifies fluid flows as steady or unsteady, uniform or non-uniform, laminar or turbulent, compressible or incompressible.
3) It describes fluid particle motion using Lagrangian and Eulerian reference frames and provides equations for velocity and acceleration.
4) It defines discharge as the total fluid flow rate through a cross-section and explains how to calculate mean velocity.
5) It presents the continuity equation which states that mass flow rate remains constant for both compressible and incompressible steady fluid flows
This document discusses fluid kinematics, which is the branch of fluid mechanics that deals with the geometry and motion of fluids without considering forces. It defines key concepts like acceleration fields, Lagrangian and Eulerian methods of describing motion, types of flow such as laminar vs turbulent and steady vs unsteady, streamlines vs pathlines vs streaklines, circulation and vorticity, and analytical tools like the stream function and velocity potential function. Flow nets are introduced as a way to graphically study two-dimensional irrotational flows using a grid of intersecting streamlines and equipotential lines.
This document discusses fluid kinematics, which is the branch of fluid mechanics that deals with the geometry of motion of fluids without considering forces or energies. It describes Lagrangian and Eulerian methods for describing fluid motion, defines types of flow such as laminar, turbulent, steady, and unsteady. It also discusses concepts like acceleration fields, circulation, vorticity, streamlines, pathlines, streaklines, stream functions, and velocity potential functions. Flow nets, which use a grid of streamlines and equipotential lines, are introduced as a way to study two-dimensional irrotational flows.
This document discusses fluid mechanics concepts including:
- Identifying vocabulary related to fluid mechanics and energy conservation.
- Explaining physical properties of fluids like density, pressure, and viscosity.
- Recognizing types of fluid flows like laminar, turbulent, compressible, incompressible.
- Understanding concepts like no-slip condition, boundary layers, and streamlines.
- Deriving conservation laws for mass and energy in ideal fluids using Bernoulli's equation.
1. The document discusses external flows over immersed bodies, including the forces of lift and drag. It provides classifications of body shapes and characteristics of boundary layer flows at different Reynolds numbers.
2. Key concepts covered include boundary layer thickness, displacement thickness, momentum thickness, and the analytical solution to the boundary layer equations provided by Blasius for laminar flow over a flat plate.
3. Dimensionless parameters important for external flows are identified as the Reynolds, Mach, and Froude numbers.
1) The document discusses momentum analysis of fluid flow systems using control volume analysis. It provides background on Newton's laws of motion and conservation of linear and angular momentum.
2) Control volume analysis using the linear momentum and angular momentum equations allows determining the forces and torques associated with fluid flow into and out of a control volume.
3) The key forces acting on a control volume are body forces that act throughout the volume, like gravity, and surface forces that act on the control surface, like pressure and viscous forces.
This document summarizes a study that used computational fluid dynamics (CFD) to analyze vortex induced vibration on an offshore structure through fluid-structure interaction (FSI) modeling. The study performed 2D and 3D CFD analyses to understand flow patterns and validate results. Preliminary one-way FSI analysis was then conducted by coupling structural and fluid solvers to observe the dynamic response of the structure to periodically varying vortex loads. The goal was to better understand vortex induced loads on offshore structures through numerical simulation.
This document provides an overview of flow nets and seepage analysis. It begins by defining the objectives of understanding basic principles of two-dimensional flows through soil media. It then discusses confined and unconfined flow problems and the objectives of analyzing them. The document introduces key concepts like Laplace's equation, Darcy's law, flow nets, and explains how to estimate seepage quantity using flow nets. It also discusses exit gradients, piping effects, and filter design to prevent failures from piping. The overall summary is that the document presents principles and methods for analyzing seepage problems in geotechnical engineering using flow nets and discusses their applications.
Lattice boltzmann simulation of non newtonian fluid flow in a lid driven cavitIAEME Publication
This document summarizes a study that uses Lattice Boltzmann Method (LBM) to simulate non-Newtonian fluid flow in a lid driven cavity. The study explores the mechanism of non-Newtonian fluid flow using the power law model to represent shear-thinning and shear-thickening fluids. It investigates the influence of power law index and Reynolds number on velocity profiles and streamlines. The LBM code is validated against published results and shows agreement with established theory and fluid rheological behavior.
This document discusses fluid mechanics and its various branches and concepts. It begins by defining mechanics, statics, dynamics, and fluid mechanics. It then discusses specific types of fluid mechanics like hydrodynamics, hydraulics, gas dynamics, and aerodynamics. It also discusses classifications of fluid flow such as viscous vs inviscid flow, internal vs external flow, and compressible vs incompressible flow. Finally, it covers key concepts like laminar vs turbulent flow, steady vs unsteady flow, and dimensional flows.
This document contains information about a fluid mechanics course titled "Fluid Mechanics II" taught by Dr. Syed Ahmad Raza at NED University of Engineering & Technology in Pakistan. It discusses the objectives of studying fluid kinematics, which include describing fluid motion using Lagrangian and Eulerian frameworks and visualizing flow fields. Key concepts covered are velocity fields, acceleration fields, control volumes, the Reynolds transport theorem, and distinguishing between kinematics and dynamics. Examples are provided of different ways to analyze fluid temperature and flow patterns using Lagrangian and Eulerian descriptions.
The document discusses the design of a steel pipeline submerged in moving water. It analyzes the forces on the pipeline from the flowing water, including drag force. Experiments using a wind tunnel were conducted to determine the coefficient of drag on cylindrical objects at different flow velocities. This was then used to calculate the drag force on the 10-inch diameter pipeline placed 200 inches below the surface of water flowing at 10 in/s. The calculated drag force and weight of the pipeline and water above it were then used to design the pipeline to withstand these forces.
This document provides an overview of fluid kinematics, which is the study of fluid motion without considering forces. It discusses key concepts like streamlines, pathlines, and streaklines. It describes Lagrangian and Eulerian methods for describing fluid motion. It also covers various types of fluid flow such as steady/unsteady, laminar/turbulent, compressible/incompressible, and one/two/three-dimensional flow. Important topics like continuity equation, velocity, acceleration, and stream/velocity potential functions are also summarized. The document is intended to outline the syllabus and learning objectives for a course unit on fluid kinematics.
ANALYSIS OF VORTEX INDUCED VIBRATION USING IFSIJCI JOURNAL
Interaction of fluid structure (IFS) is one of the upcoming field in calculation and simulation of multiphysics problems. IFS play an important role in calculating offshore structures deformations caused by the vortex induced loads. The complexity interaction nature of fluid around the solid geometries pose the difficulties in the analysis, but IFS analysis technique overshadow the challenges. In this paper, Analysis is done by considering a cylindrical member which is similar to the part of offshore platform. The IFS analysis is done by using the commercial package ANSYS 14.0. The Vortex induced loads simulation with IFS is purely a mesh dependent, for that we have to simulate many problems for getting optimum grid size. Computational Fluid Dynamics (CFD) analysis of a two dimensional model have been done and the obtained results were validated with the literature findings. CFD analysis is performed on the extruded version of the two dimensional mesh and the results were compared with the previously obtained two dimensional results. Preliminary IFS analysis is done by coupling the structural and fluid solvers together at smaller time steps and the dynamic response of the structural member to the periodically varying Vortex induced vibrations (VIV) loads were observed and studied.
Apart from TDMA, there are other iterative methods for solving the
system of equations which are faster. Unlike TDMA, which solves
the problem line by line, these iterative methods solves all
equations simultaneously. As a result these methods are faster than
TDMA. Some of the fast iterative methods are
1) SIP (strongly implicit procedure)
2) MSIP (modified SIP)
3) CG (Conjugate gradient method)
4) BiCGSTAB (bi-conjugate gradient stabilized method)
CG method is used for solving linear systems of equations which
have a symmetric coefficient matrix. All other methods mentioned
above are used for systems of equations involving non-symmetric
coefficient matrices.
Fluid Mechanics Chapter 4. Differential relations for a fluid flowAddisu Dagne Zegeye
Introduction, Acceleration field, Conservation of mass equation, Linear momentum equation, Energy equation, Boundary condition, Stream function, Vorticity and Irrotationality
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)Rajibul Alam
This document summarizes a study on viscous flow with a focus on boundary layers and their effects. It defines viscosity and describes the boundary layer that forms along a solid surface moving through a fluid. Laminar and turbulent boundary layers are differentiated. The boundary layer equations are presented and used to derive the Navier-Stokes equations that govern viscous fluid flow. Key properties of boundary layers like thickness and velocity profiles are discussed. The interaction of boundary layers and shockwaves is also summarized.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
This document provides an overview of fluid kinematics concepts including:
1. The types of fluid flow are defined such as real vs ideal, laminar vs turbulent, steady vs unsteady, uniform vs non-uniform, and one, two, and three dimensional flows.
2. Fluid kinematics variables like velocity, acceleration, and pressure fields are introduced. Streamlines, streamtubes, vorticity, and circulation are also defined.
3. The conservation of mass principle (continuity equation) is presented for one, two, and three dimensional steady and unsteady compressible/incompressible flows.
This chapter discusses differential analysis of fluid flow. It introduces the concepts of stream function and vorticity. The key equations derived are:
1) The differential equations of continuity, linear momentum, and mass conservation which relate the time rate of change of fluid properties like density and velocity within an infinitesimal control volume.
2) The Navier-Stokes equations which model viscous flow using Newton's laws and relate stresses to strain rates via viscosity.
3) Equations for inviscid, irrotational flow where viscosity and vorticity are neglected.
4) The stream function, a potential function whose contour lines represent streamlines, allowing 2D problems to be solved using a
The document summarizes key concepts related to fluid mechanics including:
1) It defines different terms used to describe fluid motion such as streamlines, pathlines, and streamtubes.
2) It classifies fluid flows as steady or unsteady, uniform or non-uniform, laminar or turbulent, compressible or incompressible.
3) It describes fluid particle motion using Lagrangian and Eulerian reference frames and provides equations for velocity and acceleration.
4) It defines discharge as the total fluid flow rate through a cross-section and explains how to calculate mean velocity.
5) It presents the continuity equation which states that mass flow rate remains constant for both compressible and incompressible steady fluid flows
This document discusses fluid kinematics, which is the branch of fluid mechanics that deals with the geometry and motion of fluids without considering forces. It defines key concepts like acceleration fields, Lagrangian and Eulerian methods of describing motion, types of flow such as laminar vs turbulent and steady vs unsteady, streamlines vs pathlines vs streaklines, circulation and vorticity, and analytical tools like the stream function and velocity potential function. Flow nets are introduced as a way to graphically study two-dimensional irrotational flows using a grid of intersecting streamlines and equipotential lines.
This document discusses fluid kinematics, which is the branch of fluid mechanics that deals with the geometry of motion of fluids without considering forces or energies. It describes Lagrangian and Eulerian methods for describing fluid motion, defines types of flow such as laminar, turbulent, steady, and unsteady. It also discusses concepts like acceleration fields, circulation, vorticity, streamlines, pathlines, streaklines, stream functions, and velocity potential functions. Flow nets, which use a grid of streamlines and equipotential lines, are introduced as a way to study two-dimensional irrotational flows.
This document discusses fluid mechanics concepts including:
- Identifying vocabulary related to fluid mechanics and energy conservation.
- Explaining physical properties of fluids like density, pressure, and viscosity.
- Recognizing types of fluid flows like laminar, turbulent, compressible, incompressible.
- Understanding concepts like no-slip condition, boundary layers, and streamlines.
- Deriving conservation laws for mass and energy in ideal fluids using Bernoulli's equation.
1. The document discusses external flows over immersed bodies, including the forces of lift and drag. It provides classifications of body shapes and characteristics of boundary layer flows at different Reynolds numbers.
2. Key concepts covered include boundary layer thickness, displacement thickness, momentum thickness, and the analytical solution to the boundary layer equations provided by Blasius for laminar flow over a flat plate.
3. Dimensionless parameters important for external flows are identified as the Reynolds, Mach, and Froude numbers.
1) The document discusses momentum analysis of fluid flow systems using control volume analysis. It provides background on Newton's laws of motion and conservation of linear and angular momentum.
2) Control volume analysis using the linear momentum and angular momentum equations allows determining the forces and torques associated with fluid flow into and out of a control volume.
3) The key forces acting on a control volume are body forces that act throughout the volume, like gravity, and surface forces that act on the control surface, like pressure and viscous forces.
This document summarizes a study that used computational fluid dynamics (CFD) to analyze vortex induced vibration on an offshore structure through fluid-structure interaction (FSI) modeling. The study performed 2D and 3D CFD analyses to understand flow patterns and validate results. Preliminary one-way FSI analysis was then conducted by coupling structural and fluid solvers to observe the dynamic response of the structure to periodically varying vortex loads. The goal was to better understand vortex induced loads on offshore structures through numerical simulation.
This document provides an overview of flow nets and seepage analysis. It begins by defining the objectives of understanding basic principles of two-dimensional flows through soil media. It then discusses confined and unconfined flow problems and the objectives of analyzing them. The document introduces key concepts like Laplace's equation, Darcy's law, flow nets, and explains how to estimate seepage quantity using flow nets. It also discusses exit gradients, piping effects, and filter design to prevent failures from piping. The overall summary is that the document presents principles and methods for analyzing seepage problems in geotechnical engineering using flow nets and discusses their applications.
Lattice boltzmann simulation of non newtonian fluid flow in a lid driven cavitIAEME Publication
This document summarizes a study that uses Lattice Boltzmann Method (LBM) to simulate non-Newtonian fluid flow in a lid driven cavity. The study explores the mechanism of non-Newtonian fluid flow using the power law model to represent shear-thinning and shear-thickening fluids. It investigates the influence of power law index and Reynolds number on velocity profiles and streamlines. The LBM code is validated against published results and shows agreement with established theory and fluid rheological behavior.
This document discusses fluid mechanics and its various branches and concepts. It begins by defining mechanics, statics, dynamics, and fluid mechanics. It then discusses specific types of fluid mechanics like hydrodynamics, hydraulics, gas dynamics, and aerodynamics. It also discusses classifications of fluid flow such as viscous vs inviscid flow, internal vs external flow, and compressible vs incompressible flow. Finally, it covers key concepts like laminar vs turbulent flow, steady vs unsteady flow, and dimensional flows.
This document contains information about a fluid mechanics course titled "Fluid Mechanics II" taught by Dr. Syed Ahmad Raza at NED University of Engineering & Technology in Pakistan. It discusses the objectives of studying fluid kinematics, which include describing fluid motion using Lagrangian and Eulerian frameworks and visualizing flow fields. Key concepts covered are velocity fields, acceleration fields, control volumes, the Reynolds transport theorem, and distinguishing between kinematics and dynamics. Examples are provided of different ways to analyze fluid temperature and flow patterns using Lagrangian and Eulerian descriptions.
The document discusses the design of a steel pipeline submerged in moving water. It analyzes the forces on the pipeline from the flowing water, including drag force. Experiments using a wind tunnel were conducted to determine the coefficient of drag on cylindrical objects at different flow velocities. This was then used to calculate the drag force on the 10-inch diameter pipeline placed 200 inches below the surface of water flowing at 10 in/s. The calculated drag force and weight of the pipeline and water above it were then used to design the pipeline to withstand these forces.
This document provides an overview of fluid kinematics, which is the study of fluid motion without considering forces. It discusses key concepts like streamlines, pathlines, and streaklines. It describes Lagrangian and Eulerian methods for describing fluid motion. It also covers various types of fluid flow such as steady/unsteady, laminar/turbulent, compressible/incompressible, and one/two/three-dimensional flow. Important topics like continuity equation, velocity, acceleration, and stream/velocity potential functions are also summarized. The document is intended to outline the syllabus and learning objectives for a course unit on fluid kinematics.
ANALYSIS OF VORTEX INDUCED VIBRATION USING IFSIJCI JOURNAL
Interaction of fluid structure (IFS) is one of the upcoming field in calculation and simulation of multiphysics problems. IFS play an important role in calculating offshore structures deformations caused by the vortex induced loads. The complexity interaction nature of fluid around the solid geometries pose the difficulties in the analysis, but IFS analysis technique overshadow the challenges. In this paper, Analysis is done by considering a cylindrical member which is similar to the part of offshore platform. The IFS analysis is done by using the commercial package ANSYS 14.0. The Vortex induced loads simulation with IFS is purely a mesh dependent, for that we have to simulate many problems for getting optimum grid size. Computational Fluid Dynamics (CFD) analysis of a two dimensional model have been done and the obtained results were validated with the literature findings. CFD analysis is performed on the extruded version of the two dimensional mesh and the results were compared with the previously obtained two dimensional results. Preliminary IFS analysis is done by coupling the structural and fluid solvers together at smaller time steps and the dynamic response of the structural member to the periodically varying Vortex induced vibrations (VIV) loads were observed and studied.
Apart from TDMA, there are other iterative methods for solving the
system of equations which are faster. Unlike TDMA, which solves
the problem line by line, these iterative methods solves all
equations simultaneously. As a result these methods are faster than
TDMA. Some of the fast iterative methods are
1) SIP (strongly implicit procedure)
2) MSIP (modified SIP)
3) CG (Conjugate gradient method)
4) BiCGSTAB (bi-conjugate gradient stabilized method)
CG method is used for solving linear systems of equations which
have a symmetric coefficient matrix. All other methods mentioned
above are used for systems of equations involving non-symmetric
coefficient matrices.
Fluid Mechanics Chapter 4. Differential relations for a fluid flowAddisu Dagne Zegeye
Introduction, Acceleration field, Conservation of mass equation, Linear momentum equation, Energy equation, Boundary condition, Stream function, Vorticity and Irrotationality
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)Rajibul Alam
This document summarizes a study on viscous flow with a focus on boundary layers and their effects. It defines viscosity and describes the boundary layer that forms along a solid surface moving through a fluid. Laminar and turbulent boundary layers are differentiated. The boundary layer equations are presented and used to derive the Navier-Stokes equations that govern viscous fluid flow. Key properties of boundary layers like thickness and velocity profiles are discussed. The interaction of boundary layers and shockwaves is also summarized.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
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.
2. 2
2023/6/1
The relations between the fluid motion and the
forces on it will be treated in this chapter.
Objective:
1) to build the basic equations with ideal fluid;
2) to resort to the data of experimentation to revise
the solutions;
3) to obtain the results to go with the actual situation.
Abstract
3. 3
2023/6/1
3.1 Flow Characteristics
3.2 The Concepts
3.3 Reynolds Transport Equation #
3.4 Continuity Equation ++
3.5 The Bernoulli Equation ++
3.6 Flow Losses & Steady Flow Energy Equation
3.7 Application of the Energy Equation ++
3.8 Applications of the Momentum Equation ++
Home Work
Outline
5. 5
2023/6/1
The space pervaded (弥漫,充满) the flowing
fluid is called flow field (流场).
velocity u,
acceleration a,
density ,
pressure p,
temperature T,
viscosity force Fv , and so on.
Motion parameters:
6. 6
2023/6/1
3.1.1 The method to describe fluid motion
Lagrangian viewpoint and Eulerian description are
the two main approaches to describe fluid motion.
Lagrange method focus on the fluid particle
(流体质点) or fluid parcel (流体微团).
Eu1er method focuses on the spatial location
of flow field (流场).
Eu1er method is used in our textbook.
7. 7
2023/6/1
Velocity u=u(x, y, z, t) (3.1)
Pressure p=p(x, y, z, t) (3.2)
Acceleration
t
z
u
y
u
x
u
dt
d
z
y
x
u
u
u
u
u
a (3.3)
For a fluid particle
substantial derivative (质点导数) or
material acceleration (质点加速度)
9. 9
2023/6/1
3.1.2 Laminar flow and turbulent flow
Reynolds (雷诺), a British scientist, showed that there are two
basic types of fluid flow: laminar and turbulent flow in 1883.
laminar flow (层流):
The fluid flows orderly.
One layer of fluid particle moves smoothly over another layer.
The particles are not mixed with each other.
The viscous force meets the Newton’s law of viscosity,v=du/dy.
Turbulent flow (紊流, 湍流):
Very complicated and irregular motion trajectories;
There is transverse motion as well;
The viscous frictions of turbulent flow consist of not only the
viscous friction but also the turbulent shear resistance, t=uxuy
10. 10
2023/6/1
3.1.3 Steady flow and unsteady flow
For steady flow (定常流), motion parameters independent of
time.
u=u(x, y, z)
p=p(x, y, z)
Steady flow may be expressed as
The motion parameters are dependent on time, the flow is
unsteady flow (非定常流).
0
t
0
t
u
0
t
p
0
t
T
u=u(x, y, z, t)
p=p(x, y, z, t)
11. 11
2023/6/1
a) steady flow b) unsteady flow
Figure 3.1 Steady flow and unsteady flow
0
0
H
water supply
overfall(溢流道)
orifice(孔口)
0
0
H
3
H
2
H
1
t1
t2
t3
orifice
Example
The velocity and
pressure in the
orifice (孔口) do
not vary with time
and the shape of
effluent remains a
constant jet of flow.
The flow in orifice
is variable with
the water level, in
which the velocity
and the pressure
both vary with
time.
12. 12
2023/6/1
When the fluctuations (波动) in a turbulent flow are
small, the instantaneous velocity(瞬时速度) can be
replaced with the mean value in a span of time. The
mean value is called temporal mean velocity (时均速度),
3.1.4 Temporal mean(时间平均)
0
1 t
u udt
t
(3.4)
So, the flow can be treated as a steady flow.
13. 13
2023/6/1
A uniform flow (均匀流) is the one in which all velocity
vectors (direction and magnitude) are identically the same
everywhere in a flow field for any given instant.
Flow such that the velocity varies from place to place at any
instant is nonuniform flow (非均匀流) .
3.1.5 Uniform flow and nonuniform flow
14. 14
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3.1.6 Rotational and irrotational
a) irrotational b) rotational
Figure 3.2 Rotational and irrotational
In the fluid parcel two
marked infinitesimal
[,infini’tesəməl] (无
限小)line elements
that are at right angles
(直角)to each other
are as shown in Fig. 3.2.
y
x
y
x
0 0
If the fluid particles rotate with any axis, the flow was said
to be rotational flow, or vortex flow (涡旋流); otherwise it is
irrotational flow (无旋流).
16. 16
2023/6/1
One dimension——all main variables in the flow field can be
completely specified by a single coordinate if the variation of flow
parameters transverse to the mainstream direction can be neglected.
Flow in parallel planes is two-dimensional because the
motion of fluid particle normal to these planes is restricted for the
existence of the planes.
Three-dimensional flow is the most general flow.
3.2.1 Flow dimensionality (流的维度)
17. 17
2023/6/1
A path line (迹线, 轨迹线) is the trajectory of an individual
fluid particle in flow field during a period of time.
Streamline (流线) is a continuous line (many different fluid
particles) drawn within fluid flied at a certain instant, the
direction of the velocity vector at each point is coincided with
(与…一致) the direction of tangent at that point in the line.
3.2.2 Path line and streamline
path line Streamline
18. 18
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1) In unsteady flow, the direction and shape of streamline is
variable with time.
2) In steady flow, the streamline keeps steady all along; hence
the streamline coincides with the path of particle.
3) streamline can not be intersected (相交, 交叉) or replicated
(折转, 反折).
1. Characteristics of streamline
a
a
b
b
1
1
a
a
b
b
1
1
a
a
b
b
1
1
a) Gate valve b) Sudden enlargement tube c) cylinder
Figure 3.3 Flow patterns (流线谱) in various boundary conditions
Fluid moves along the boundary.
19. 19
2023/6/1
z
y
x u
dz
u
dy
u
dx
For example, a known plane flow field:
2
2
y
x
ky
ux
2
2
y
x
kx
uy
0
z
u
x
dy
y
dx
making a integral,
x2+y2=C
2. Differential equation of streamline
Various streamlines can be obtained by assigning different constant
C, and the streamlines are a cluster of circles in various radii.
20. 20
2023/6/1
1. Stream tube (流管)
The stream tube is composed of the streamlines passing through
every point in a closed curve (not the streamline) C0 which is
drawn in the flow field.
2. Mini-stream tube (微小流管)
The stream tube with an infinitesimal section is said to be mini-
stream tube. Streamline is the extreme case of mini-stream tube.
3. Total flow (总流)
Total of countless mini-stream
tubes is called total flow.
3.2.3 Stream tube, mini- stream tube, total flow
Figure 3.4 Stream tube
C0
y
z
0
x
21. 21
2023/6/1
3.2.4 Cross section, flow rate and average velocity
1. Flow section (通流面)
The flow section is a section that every area element in the
section is normal to mini-stream tube or streamline. The flow
section is a curved surface(曲面). If the flow section is a
plane area(平面), it is called a cross section (横截面).
1
1
2
2
I
II
u1
u2
dA1
dA2
Figure 3.5 Flow section
22. 22
2023/6/1
The amount of fluid passing through a cross section in unit
interval is called flow rate or discharge.
)
s
/
m
(
)
kg/s
(
)
N/s
(
3
G
M
Q
Q
M
gQ
G
weight flow rate
volumetric flow rate
mass flow rate
A
udA
Q (3.7)
For a total flow
2. Flow rate (流量)
23. 23
2023/6/1
3. Average velocity (平均速度)
umax
V
Figure 3.6 Distribution of velocity over cross section
A
udA Q
V
A A
The velocity u takes the maximum umax on the pipe axle and
the zero on the boundary as shown in Fig. 3.6.
The average velocity V according to the equivalency of flow
rate is called the section average velocity (截面平均速度).
According to the equivalency of flow rate, VA=∫A udA=Q,
therewith,
24. 24
2023/6/1
A water pump yields Q=0.65m3/min. Find the average velocity if
inner diameter of water pipe is d=100mm and convert the
volumetric flow rate to the rate of mass flow and the rate of weight
flow.
(1) average velocity V
)
m/s
(
38
.
1
1
.
0
)
4
/
(
60
/
65
.
0
2
A
Q
V
(2) rate of mass flow M
M=ρQ =1000×0.65=650 (kg /min) =10.83 kg/s
(3) rate of weight flow G
The special weight of water is 9810 N/m3, so
G=Q=9810×0.65=6376.5 (N/min) =106.3 N/s
EXAMPLE 3.1
26. 26
2023/6/1
3.3.1 System
A system (系统) is a set of definite fluid particles selected in
the interest of researcher.
System boundary is the surroundings that distinguish the
set of particles (system) from the other material (environment)
and named it the surface of system.
( )
d m
dt
u
F (3.3.1)
The dynamics of a system can be expressed by
ΣF - the resultant of all external forces acting on the system;
m - the mass of the definite particles, a fixed value;
u - the velocity at the center of mass of the system.
27. 27
2023/6/1
3.3.2 Control volume
Control volume (cv, 控制体) is defined as an invariably
hollow volume or frame fixed in space or moving with constant
velocity through which the fluid flows.
The boundary of control volume is called control surface
(cs, 控制面).
For a cv:
1) its shape, volume and its cs can not change with time.
2) it is stationary in the coordinate system. (in this book)
3) there may be the exchange of mass and energy on the cs.
28. 28
2023/6/1
Name Definition Characters Method
System
a collection of fluid
matter of fixed identity
(i.e. always the same fluid
particle) that will move,
flow, and interact with its
surroundings. (closed)
it’s shape, volume
and boundary can
change with time;
it can move;
has the exchanges
of energy, but no
mass.
Lagrangian
Control
Volume
(cv)
a geometrically defined
volume in space through
which fluid particles may
flow in or out of the
control volume. Hence it
will contain different fluid
particles at different
points in time. (opened)
it’s shape, volume
and boundary can
not change;
it is fixed;
has the exchanges
of mass and energy.
Eulerian
System vs Control Volume
30. 30
2023/6/1
3.3.3 Reynolds transport equation
Figure 3.7 A system flow through control volume
—— control surface ------- system boundary
(cv)
a) time t
y
x
z
o
b) time t1>t
u
n
cs
dA
d) Inflow area Ai
(adb)
u
dA
n
cs
c) Outflow area Ao
(acb)
cs
a
b
c
d
31. 31
2023/6/1
N(t) is a term of a general property of the system, such as
mass, momentum and so on. The velocity of fluid particle at a
spatial point in cv at time t is represented by u(r, t), r=r(x, y, z)
is radius vector of spatial point relative to coordinate origin.
The general property per unit mass is η(r, t)=N(t)/m.
The increment of system in time (t1t) is
)
(
)
( 1 t
N
t
N
2
1
)
,
( 1
d
t
r
3
1
)
,
(
d
t
r
32. 32
2023/6/1
dt
t
dN )
(
1
1
1
1
1
lim ( ( , ) ( , ))
t t
t t d
t t
r r
2 3
1
)
,
(
)
,
(
1
lim 1
1
d
t
d
t
t
t
t
t
r
r
From Lagrange mean value theorem
)
(
)
,
(
)
,
(
)
,
( 1
)
(
1 1
t
t
t
t
t t
t
t
r
r
r ( 0≤θ≤1)
d
t
t)
,
(r
1
1
1
1
1
lim ( ( , ) ( , ))
t t
t t d
t t
r r
t
t
t
N
t
N
dt
t
dN
t
t
1
1 )
(
)
(
lim
)
(
1
2
1 3
1
1
)
,
(
)
,
(
1
lim 1
1
d
t
d
t
t
t
t
t
r
r
When (t1−t) comes near zero, volume τ1 approaches to volumeτ.
33. 33
2023/6/1
2
1
)
,
(
1
lim 1
1
d
t
t
t
t
t
r 1
1 1 1
1
1
lim ( , ) ( , ) ( )
o
o
t t
A
t t d t t
t t
r u r A
( , ) ( , ) ( , ) ( , )( )
o o
o o
A A
t t d t t dA
r u r A r u r n
1
3
1
1
1
lim ( , )
t t
t d
t t
r ( , ) ( , )
i
i
A
t t d
r u r A
Let A=Ai +Ao, so the net rate of flux (净流通率) is:
o
)
,
(
)
,
( A
r
u
r d
t
t
o
A
)
)
,
(
)
,
(
( i
A
r
u
r d
t
t
i
A
A
r
u
r d
t
t
A
)
,
(
)
,
(
dt
t
dN )
(
d
t
t)]
,
(
[ r A
r
u
r d
t
t
A
)
,
(
)
,
(
(3.13)
outer normal
unit vector
Outflow rate of flux (流出流通率):
Inflow rate of flux (流入流通率):
Reynolds Transport Equation (RTE):
34. 34
2023/6/1
( ) ( , )
( , )[ ( , ) ]
cv cs
dN t t
dV t t dA
dt t
r
r u r n
The total rate of
change of an arbitary
generalized property
N(t) of the system
The time rate
of change of the
property N(t)
within the cv
The net rate
of flux of the
property N(t)
through the cs
在某一时刻 t ,系统中某一物理量随时间的变化率,
等于该瞬时与系统重合的控制体内所含同一物理量随时
间的变化率与相应物理量通过控制面的净流通率之和。
Meaning of RTE
35. 35
2023/6/1
3.3.4 Application of the Reynolds transport equation
1. Continuity equation
Let N = m, than = 1
According to the principle of conservation of mass (质量守
恒定律), 0
dt
dm
From Eq. (3.13) 0
A
d d
t
u A
For a steady flow 0
t
0
A
dA
u
So,
0
d
t
Namely the net rate of mass inflow and
outflow to the cs is zero.
36. 36
2023/6/1
2. Equation of momentum
Let N = mu, than =u.
From Eq. (3.9), (3.13)
A
d
d
t
dt
m
d
A
u
u
u
u
F )
(
)
(
In other words, the resultant external force acting on
a system is equal to the sum of variation of the
momentum within the cv and the net rate of flux of
momentum from the cs in unit time.
37. 37
2023/6/1
3. Energy equation
QH —— input heat of a system;
W —— the work done by the system;
N1, N2 —— energy in the initial and final states of system
QH W = N2N1 (3.16)
Taking N =Ei + mu2/2, and then N per unit mass is =ei+u2/2,
A
i
i
H
d
u
e
d
u
e
t
dt
dN
t
W
t
Q
A
u
2
2
2
2
The law of conservation of energy (能量守恒定律) is:
internal energy kinetic energy internal energy per unit mass
38. 38
2023/6/1
For steady flow without energy input and output
0
)
( d
t
Ws/t=0
t
QH
A
i d
u
e
gz
p
A
u
2
2
Therewith
If the flow is adiabatic (绝热的), QH/t=0; then
0
2
2
A
i d
u
e
gz
p
A
u
So Const.
2
2
i
e
p
u
gz
(3.22a)
δW= δWp+δWs +δWg
work by
pressure
work by
shear force
work by
mass force
(3.20)
40. 40
2023/6/1
As fluid is continuous medium, it is thought
that the whole space is occupied fully and
continuously with the fluid and without a point
source (点源) or a point sink (点汇) when the
fluid motion is dealt.
The continuous condition of fluid motion
41. 41
2023/6/1
3.4.1 Steady flow continuity equation of 1D mini stream tube
dA1
u1
dA2
u2
A1
A2
Figure 3.8 One-dimensional stream tube
The net mass inflow
dM=(lu1dA12u2dA2) dt
For compressible steady flow dM=0
lu1dA1=2u2dA2
If incompressible, ρl =ρ2=ρ
u1dA1= u2dA2
The formula is the continuity equation for incompressible
fluid, steady flow along with mini-stream tube.
(3.23)
42. 42
2023/6/1
3.4.2 Total flow continuity equation for 1D steady flow
2
1 2
2
2
1
1
1 A
A
dA
u
dA
u
lmV1A1=2mV2A2 (3.24)
For incompressible fluid flow, ρ is a constant.
Q1=Q2 or V1A1=V2A2
dA1
u1
dA2
u2
A1
A2
Figure 3.8 One-dimensional stream tube
Making integrals at both sides of Eq.(3.23)
Integrating it
average density
average velocity
The total flow continuity equation for
the incompressible fluid in steady flow.
43. 43
2023/6/1
V1
V2
d
1
A
B
L
d
2
Figure 3.9 Two hydraulic cylinders
in series
Two hydraulic cylinders (液压缸) in a hydraulic system are shown in
Fig.3.9. The inner diameters of the two hydraulic cylinders are
d1=75mm and d2=125mm respectively. The velocity of piston A is
V1=0.5m/s. Find the velocity of piston B V2 and flow rate Q in the
pipe L.
/s)
(m
10
21
.
2
5
.
0
075
.
0
4
4
3
3
2
1
2
1
V
d
Q
Solution
(m/s)
0.18
125
.
0
10
21
.
2
4
4
/ 2
3
2
2
2
d
Q
V
EXAMPLE 3.2
47. 47
2023/6/1
3.5.1 Euler’s equation in one-dimensional flow for ideal fluid
x
z
p
s
s
p
p
δA
A
s
g
Figure 3.11 A cylinder as control
volume
δ z
cos
cos
A
s
g
A
s
s
p
A
s
g
A
s
s
p
A
p
A
p
Fs
dt
du
A
s
Fs
du/dt=uu/s+u/t,
cos =z/s = z/ s
s
u
u
t
u
s
z
g
s
p
1
For steady flow, u/t =0
0
gdz
dp
udu
(3.28)
This is Euler’s equation in differential.
48. 48
2023/6/1
3.5.2 Bernoulli’s equation
Eq.(3.8) is used for ideal fluid flows along a streamline in steady.
Bernoulli’s equation can be obtained with an integral along a
streamline :
C
gz
p
u
2
2
(m2/s2) (3.29)
This is an energy equation per unit mass.
It has the dimensions (L/T)2 because mN/kg=(mkgm/s2)/kg=m2/s2.
The meanings
u2/2 ——the kinetic energy per unit mass (mu2/2)/m.
p/ ——the pressure energy per unit mass.
gz ——the potential energy per unit mass.
Eq. (3.29) shows that the total mechanical energy per unit mass
of fluid remains constant at any position along the flow path.
49. 49
2023/6/1
The Bernoulli’s equation per unit volume is
(N/m2) (3.30)
1
2
2
C
gz
p
u
Because the dimension of u2/2 is the same as that of pressure, it
is called dynamic pressure (动压强).
The Bernoulli’s equation per unit weight is
2
2
2
C
z
g
p
g
u
(mN/N, or, m) (3.31)
For arbitrary two points 1 and 2 along a streamline,
1
1
2
1
2
z
g
p
g
u
2
2
2
2
2
z
g
p
g
u
(3.32)
50. 50
2023/6/1
u
h
u
Figure 3.12 Velocity head hu
3.5.3 Geometry expression of Bernoulli’s equation
the Bernoulli’s equation per unit weight is
2
2
2
C
z
g
p
g
u
(mN/N, or, m) (3.31)
Dimension:
z —— L,called the elevation head
(位置水头).
p/(g)——MLT2L2/(ML3LT2)=L,
called the pressure head (压力水头).
u2/(2g) ——L2T2/(LT2)=L, called the
velocity head (速度水头), denoted as hu
The sum of them is called the total head (总水头) , denoted as H.
51. 51
2023/6/1
Figure 3.13 Total head line and piezometer head line
z1
z
0
0
z2
g
p
1
g
p
g
p
2
g
u
2
2
g
u
2
2
1
g
u
2
2
2
z
a b
g h
e
f
m
u1
u
u2
2
2
1
1
n
k total head line
总水头线
gkh
piezometer head line
测压水头线
enf
elevation head line
位置水头线
amb
datum line
基准线
0-0
H
52. 52
2023/6/1
A venturi meter (文丘里流量计), consisting of a converging portion,
a throat portion in constant diameter and a gradually diverging
portion, is connected in series in a pipeline and used to determine
flow rate in the pipe as shown in Fig. 3.14. Venturi tube is very short;
the flow losses can be neglected. The pipeline is horizontally placed,
namely z1=z2. Determine the flow rate in the pipe.
Solution 1
1
2
2
u1 u2
0 0
Figure 3.14 Venturi tube
z1=z2=0,
g
p
g
u
1
2
1
2
g
p
g
u
2
2
2
2
u1A1=u2A2
)
(
2
/
1
1 2
1
2
1
2
2
p
p
A
A
u
)
(
2
)
(
2
/
1
2
1
2
2
2
1
2
1
2
1
2
1
2
2
2
2
p
p
A
A
A
A
p
p
A
A
A
u
A
Q
EXAMPLE 3.3
53. 53
2023/6/1
A hollow tubule A with the opening end directed upstream is
installed in the pipeline in Fig. 3.15. The tubule A is called
piezometer for total pressure, or pitot tube (皮托管). Determine the
velocity u1 of liquid in streamline 0-0 at section 1-1 .
Solution
0
2
1
2
1
g
p
g
u
0
0
g
pm
2
/
2
1
1 u
p
pm
gh
p
p
u m )
(
2
)
(
2 m
2
1
gh
p
pm )
( m
2
0
0
1
1
h
2 B
2
m
u1
A
m
Figure 3.15 Pitot tube in a straight pipe
Apitot tube; Bpiezometer
m stagnation point(滞止点)
EXAMPLE 3.4
,
2
1 p
p
54. 54
2023/6/1
3.6 FLOW LOSSES AND STEADY
FLOW ENERGY EQUATION IN THE
DIFFERENTIAL FORM
3.6 流动损失和定常流
能量方程微分形式 #
55. 55
2023/6/1
3.6.1 Reversible and irreversible(可逆和不可逆)
If the system could be reverted to the original
state with the elimination of effect on the
surrounding caused in the former process, this
process is reversible, otherwise it is irreversible.
The irreversible process is universal in the real
system due to the friction.
56. 56
2023/6/1
3.6.2 Energy equation in differential form for a steady flow
i
s
H de
udu
gdz
p
d
w
q
From thermodynamics(热力学) Tds=dei+pd
s --- the entropy (熵) per unit mass of fluid.
noticing d(p/)=d(p)= dp+pd =dp/+pd,
udu
gdz
dp
Tds
w
q s
H
(3.35)
(3.20)
For a steady flow,
(3.33)
2 2
2 2
H s i i
A
p u p u
Q W gz e d t gz e m
u A
2
2
H s
H s i
Q W p u
q w gz e
m
Eq.(3.20) in page 50 can be written as
57. 57
2023/6/1
3.6.3 Energy equation for a reversible process
For a reversible process, qH=Tds,
0
udu
gdz
dp
(3.36)
Equation (3.36) is same with the Euler’s equation in
differential form - Eq.(3.28) in page 55, and it also hold true
for the reversible process in an adiabatic [,ædiə’bætik] flow
(绝热流), in which
qH=0, ds=0.
if ws=0
0
s
dp
w gdz udu
Energy equation in
differential form for
reversible process
58. 58
2023/6/1
3.6.4 Energy equation for an irreversible process
For a irreversible flow, the Clausius inequality (克劳修斯不等式)
Tds qH >0
Let the flow losses per unit weight of fluid be hw,
ghw= Tds qH
0
w
s gh
udu
gdz
dp
w
so
If ws=0
0
w
gh
udu
gdz
dp
(3.38)
For incompressible fluid in the adiabatic flow, =const., dei=cvdT
and qH=0. If ws=0,
0
dT
c
udu
gdz
dp
v
(3.39)
Energy losses make
increase of temperature
(3.37)
Energy equation in
differential form for
irreversible process
59. 59
2023/6/1
3.6.5 The Bernoulli’s equation for real system
hs——the shaft work(轴功) per unit weight of fluid, hs=ws/g,
hw——the energy losses per unit weight of fluid from section 1-
1 to section 2-2 and always positive.
w
2
2
2
2
2
h
z
g
p
g
u
s
1
1
2
1
2
h
z
g
p
g
u
(3.40)
“+” denotes the energy added to the system,
“” denotes the energy gotten away the system to the
surrounding.
From Eq.(3.37) s w 0
dp
w gdz udu gh
It shows that the total energy decreases gradually in
the downstream (顺流) direction.
60. 60
2023/6/1
u1dA1= u2dA2
Q1=Q2 or V1A1=V2A2
Review
A
udA Q
V
A A
C
gz
p
u
2
2
1
2
2
C
gz
p
u
2
2
2
C
z
g
p
g
u
1
1
2
1
2
z
g
p
g
u
2
2
2
2
2
z
g
p
g
u
BERNOULLI EQUATION:
CONTINUITY EQUATION:
62. 62
2023/6/1
Equation (3.33) in section 3.6 can only be applied to
a mini-stream tube or a streamline.
In the engineering practice it is not enough to know
what the energy equation is for a streamline, and the
most important is what the energy equation for a total
flow would be.
i
s
H de
udu
gdz
p
d
w
q
(3.33)
63. 63
2023/6/1
3.7.1 Gradually varied flow(缓变流)
Cross section
R
Figure 3.17 Cross section of gradually
varied flow
On the flow section the
angle β between two
streamlines is very small
(infinitesimal), or the
radius of curvature (曲率)
R of each streamline is
very large (infinity).
1) the streamlines tend to be the parallel beelines (平行直线);
2) the acceleration is very small;
3) the flow section can be considered a plane surface.
Definition:
Essence[‘esns](Core):
64. 64
2023/6/1
b
d
x
z
p
dA
dAdz
g
dz
R
u
z
a
c
n
n
0
Figure3.18 Control volume in a flow section
of gradually varied flow
p+dp
(p+dp)dApdA+gdAdz=0
0
dz
g
dp
For =const.
0
z
g
p
d
const
z
g
p
For steady flow, u/t=0, and the sum of all forces in the n
direction is zero too.
Same with Eq.(2.7) in page 23
65. 65
2023/6/1
3.7.2 The Bernoulli’s equation for the real-fluid total flow
Energy for the flow with weight dG=gudA in a mini- stream tube
dG
dE
z
g
p
g
u
e
2
2
the total energy per unit time through the cross section
A
A
gudA
z
g
p
g
u
dE
E
2
2
In gradually varied flow on the section
A A
dA
u
udA
g
z
g
p
E 3
2
Because of A udA=Q
gQ
z
g
p
udA
g
z
g
p
A
66. 66
2023/6/1
A
udA
A
Q
V A
An average velocity V is employed
Q
V
A
V
dA
V
dA
u
A
A
2
3
3
3
2
2
2
3 Q
V
dA
u
A
gQ
g
V
2
2
gQ
z
g
p
E
gQ
g
V
2
2
The energy over the section in the gradually varied flow is
in which is the kinetic-energy correction factor. For turbulent
flow in a pipe, =1.05~1.10. For laminar flow in a pipe, =2.
Let ,
3
3
V
u
weight flow rate
67. 67
2023/6/1
The mechanical energy per unit weight over the section in
gradually varied flow is
Let hw be the energy losses per unit weight of fluid from 1-1 to
2-2, the Bernoulli’s equation for a total flow is
Let hs be the shaft work per unit weight of fluid, the Bernoulli’s
equation for a real system is
w
s h
z
g
p
V
h
z
g
p
V
2
2
2
2
1
1
2
1
g
2
g
2
(3.45)
z
g
p
e
g
αV
2
2
w
h
z
g
p
V
z
g
p
V
2
2
2
2
1
1
2
1
g
2
g
2
(3.44)
2
u
68. 68
2023/6/1
3.7.3 Applications of Bernoulli’s equation
Conditions for application:
1)The fluid is incompressible and the flow must be a
steady flow.
2)The selected cross section should be in the
gradually varied flow or in uniform flow.
3)If there is input or output of shaft work between
two sections, the calculation can be carried out with
Eq. (3.45)
4)The flow rate remains a constant along the flow
path.
69. 70
2023/6/1
0
1
1
d
he
0
Figure 3.20 Pumping water
A centrifugal water pump (离心式
水泵) with a suction pipe (吸水管)
is shown in Fig. 3.20. Pump output
is Q=0.03m3/s, the diameter of
suction pipe d=150mm, vacuum
pressure that the pump can reach is
pv/(g)=6.8 mH2O, and all head
losses in the suction pipe
hw=1mH2O. Determine the utmost
elevation (最大提升) he from the
pump shaft to the water surface on
the pond.
EXAMPLE 3.6
70. 71
2023/6/1
Solution
1) two cross sections and the datum plane are selected.
The sections should be on the gradually varied flow, the
two cross sections here are: 1) the water surface 0-0 on the
pond, 2) the section 1-1 on the inlet of pump. Meanwhile, the
section 0-0 is taken as the datum plane, z0=0.
1
0
w
1
1
2
1
1
0
0
2
0
0
g
2
g
2
h
z
g
p
V
z
g
p
V
71. 72
2023/6/1
2) the parameters in the equation are determined.
The pressure p0 and p1 are expressed in relative pressure
(gauge pressure).
0
g
0
p
O)
mH
(
8
.
6
g
g
2
v
1
p
p
,and
So,V0=0.
1 2
0.03
1.7(m/s)
0.15 / 4
Q
V
A
Let =1
hw0-1=1 mH2O
0
g
0
p
,and
,and
72. 73
2023/6/1
3) calculation for the unknown parameter is carried out.
By substituting V0=0,p0=0,z0=0,p1=pv,z1=he,α1=1 and
V1=1.7 into the Bernoulli’s equation, i.e.,
1
0
w
v
2
1
2
0
0
0
h
h
g
p
g
V
e
1
0
w
2
1
v
g
2
h
V
g
p
he
The values of pv/(g) and V1 are substituted into above formula
and it gives
6.8 0.15 1.0 5.65(m)
e
h
namely,
74. 75
2023/6/1
The linear-momentum equation was obtained by Reynolds transport
equation in Sec. 3.3 in page 49,
For a steady flow of incompressible fluid, if the control surfaces,
normal to the velocity wherever it cuts across the flow, have only
the two surfaces
(3.48)
A
d
d
t
dt
m
d
A
u
u
u
u
F )
(
)
(
(3.15)
A
x
x
x d
u
d
u
t
A
u
F )
(
The component form, say the x direction
1
1
1
2
2
2 A
u
A
u u
u
F
)
( 1
2 u
u
Q
(3.47)
75. 76
2023/6/1
In the actual flow the velocity over a plane cross section(横截平面)
is not uniform
dA
V
u
A A
2
)
(
1
A
V
dA
u
A
2
2
or
If the un-uniform in velocity over the section is taken into account,
Eq. (3.48) may be rewritten as
)
( 1
1
2
2 V
V
F
Q
is momentum correction factor (动量修正系数).
= 4/3 in laminar flow for a straight round tube.
= 1.02~1.05 in turbulent flow and it could be taken as 1.
A
V
dA
u
A
2
2
or dA
V
u
A A
2
)
(
1
A
V
dA
u
A
2
2
or (3.49)
(3.50)
76. 77
2023/6/1
A spool valve consists of a spool and sleeve as shown in Fig. 3.21. A
flow of oil with density in a flowrate Q is flowing from channel A
into the circular annuli and then the flow of oil leaves the annular
orifice B, the outflow of oil will give a force on the spool. Now
determine the force.
Figure 3.21 Steady-state flow force along the axis direction
1 sleeve;2 spool
Fx
A B
1 2
a) Spool valave b) Control
volume
y
x
V1 V2
EXAMPLE 3.7
77. 78
2023/6/1
Solution
Fx acting on the control volume in the x direction
cos
)
90
cos
cos
( 2
1
2 QV
V
V
Q
Fx
The oil exerts a force on the spool (the surrounding of CV).
cos
2
QV
F
P x
x
The force Px is called the steady-state flow force (稳态液动力).
also called Bernoulli’s force (伯努利力) in oil-hydraulics.
The resultant force is zero in the y direction.
78. 79
2023/6/1
A steel bend (弯头) used to supply
water is shown in Fig.3.21. The inner
diameter of bend is d=500mm. The
angle between bend and horizontal
plane is 45. The flow rate in pipe is
Q=0.5m3/s; the pressure of center
point at the section 1-1 is
p1=108kN/m2. The elevation of center
point at the section 2-2 is z2=0.7m.
The flowing losses of two section is
0.15V2
2/(2g) m. Neglecting the mass
of bent and water, determine the force
applied to the bend by the flowing
water.
Figure 3.22 Forces on a bent
p2
z
x
p1
1
1
2
2
45
v
o
z2
EXAMPLE 3.8
79. 80
2023/6/1
Solution
1) Select the CV:
The inside surface of bend
and both sections 1-1 and 2-2. p2
z
x
p1
1
1
2
2
45
v
Figure 3.22 Forces on a bent
o
z2
A1=A2=A. )
m
(
196
.
0
5
.
0
4
2
2
A
V1=V2=V , (m/s)
55
.
2
196
.
0
5
.
0
A
Q
V
Rx
Ry R
P
2) Analyse the forces on CV
3) calculate the parameters in equation
p2=?
2
1
2
2
2
2
1
2
1
1
2
2
w
h
z
g
V
g
p
z
g
V
g
p
80. 81
2023/6/1
p2
z
x
p1
1
1
2
2
45
v
Figure 3.22 Forces on a bent
o
z2
Rx
Ry R
P
(Pa)
10
6
.
100
)
15
.
0
(
2
)
(
3
2
2
1
1
2
V
z
z
g
p
p
)
45
cos
(
45
cos
2
2
1
1 V
V
Q
A
p
R
A
p
F x
x
(N)
7599
)
45
cos
(
45
cos
2
2
1
1
V
V
Q
A
p
A
p
Rx
4) Solution for forces
81. 82
2023/6/1
)
0
45
sin
(
45
sin
2
2
V
Q
R
A
p z
(N)
14844
)
0
45
sin
(
45
sin
2
V
Q
P
Rz
(N)
16676
2
2
z
x R
R
R
14844
7599
tan
z
x
R
R
1
.
27
P = R = 16676N
p2
z
x
p1
1
1
2
2
45
v
Figure 3.22 Forces on a bent
o
z2
Rx
Ry R
P
82. 83
2023/6/1
In Fig.3.23, a nozzle is connected to a pipe D. The exit diameter of
nozzle is d=25mm, the inner diameter of pipe is D=75mm. The
pressure at the entrance of nozzle is p1=0.7MPa. The losses in the
nozzle is hw=0.3V2
2/(2g). The fluid is water. Determine the tension
force T exerted by the nozzle on the pipe.
p2A2
a) nozzle b) CV
d
D
1
1
2
2
1
1
2
2
V2
V1 p1A1 R
cv
y
x
Figure 3.23 Nozzle and its control volume
EXAMPLE 3.9
84. 85
2023/6/1
2
2
2V
A
P
)
(N/m
10
085
.
1
)
94
.
32
(
1000 2
6
2
2
2
2
2
2
2
2
V
A
V
A
A
P
p
The impact force of jet P
The impact pressure of jet p
Solution Procedure for a problem with momentum equation:
1) selection for a proper control volume;
2) thorough analysis to the external forces;
3) application of the momentum equation in component form
for the coordinate axis;
4) caution with the sign of force (plus sign is the same direction
with the selected coordinate axis, otherwise a minus sign is used).