This document discusses similitude and dimensional analysis for model testing in hydraulic engineering. It introduces key concepts like similitude, prototype, model, geometric similarity, kinematic similarity, dynamic similarity, dimensionless numbers, and model laws. Reynolds model law is described in detail, which states that the Reynolds number must be equal between the model and prototype for problems dominated by viscous forces, such as pipe flow. An example problem demonstrates how to calculate the velocity and flow rate in a hydraulic model based on given prototype parameters and Reynolds model law.
This document provides an overview of fluid mechanics concepts related to flow through pipes. It discusses different types of head losses that can occur through pipes including major losses due to friction and minor losses due to fittings. It also covers topics such as hydraulic grade line, pipes in series and parallel, syphons, power transmission through pipes, flow through nozzles, and water hammer effects in pipes.
The document discusses dimensional analysis, similitude, and model analysis. It provides background on how dimensional analysis and model testing are used to study fluid mechanics problems. Dimensional analysis uses the dimensions of physical quantities to determine which parameters influence a phenomenon. Model testing in a laboratory allows measurements to be applied to larger scale systems using similitude. Buckingham's π-theorem is introduced as a way to non-dimensionalize variables when there are more variables than fundamental dimensions. Rayleigh's and Buckingham's methods are demonstrated on an example of determining the resisting force on an aircraft.
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.
This document discusses the different types of fluid flows:
- Steady and unsteady flows, uniform and non-uniform flows, laminar and turbulent flows, compressible and incompressible flows, rotational and irrotational flows, and one, two, and three-dimensional flows. Each type of flow is defined and examples are provided. The key characteristics such as changes in velocity, density, and flow patterns with respect to time and space are outlined for each type of flow. Reynolds number criteria for laminar versus turbulent flow is also mentioned.
This document discusses various flow measurement techniques including venturimeters, orifices, mouthpieces, pitot tubes, weirs and notches. It provides detailed explanations and equations for venturimeters and orifices. Venturimeters use the Bernoulli's equation to relate the pressure difference between two sections to the flow rate. Orifices use the relationship between head loss and flow rate. The document also defines various coefficients used in flow measurements like coefficient of contraction, velocity, and discharge. It discusses types of venturimeters and orifices based on their orientation and geometry.
1. This document describes various types of ideal fluid flow, including uniform flow, source/sink flow, vortex flow, and combinations of different flows.
2. Special cases of flow geometry allow the stream function ψ to be related to the distance n along a path between streamlines by ψ = wn. Examples include uniform flow in the x-direction and uniform flow from a line source.
3. Combining different flow types allows modeling of more complex scenarios. A doublet represents a close source-sink pair, and combining it with uniform flow models flow around a cylinder.
This document provides an overview of fluid mechanics concepts related to flow through pipes. It discusses different types of head losses that can occur through pipes including major losses due to friction and minor losses due to fittings. It also covers topics such as hydraulic grade line, pipes in series and parallel, syphons, power transmission through pipes, flow through nozzles, and water hammer effects in pipes.
The document discusses dimensional analysis, similitude, and model analysis. It provides background on how dimensional analysis and model testing are used to study fluid mechanics problems. Dimensional analysis uses the dimensions of physical quantities to determine which parameters influence a phenomenon. Model testing in a laboratory allows measurements to be applied to larger scale systems using similitude. Buckingham's π-theorem is introduced as a way to non-dimensionalize variables when there are more variables than fundamental dimensions. Rayleigh's and Buckingham's methods are demonstrated on an example of determining the resisting force on an aircraft.
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.
This document discusses the different types of fluid flows:
- Steady and unsteady flows, uniform and non-uniform flows, laminar and turbulent flows, compressible and incompressible flows, rotational and irrotational flows, and one, two, and three-dimensional flows. Each type of flow is defined and examples are provided. The key characteristics such as changes in velocity, density, and flow patterns with respect to time and space are outlined for each type of flow. Reynolds number criteria for laminar versus turbulent flow is also mentioned.
This document discusses various flow measurement techniques including venturimeters, orifices, mouthpieces, pitot tubes, weirs and notches. It provides detailed explanations and equations for venturimeters and orifices. Venturimeters use the Bernoulli's equation to relate the pressure difference between two sections to the flow rate. Orifices use the relationship between head loss and flow rate. The document also defines various coefficients used in flow measurements like coefficient of contraction, velocity, and discharge. It discusses types of venturimeters and orifices based on their orientation and geometry.
1. This document describes various types of ideal fluid flow, including uniform flow, source/sink flow, vortex flow, and combinations of different flows.
2. Special cases of flow geometry allow the stream function ψ to be related to the distance n along a path between streamlines by ψ = wn. Examples include uniform flow in the x-direction and uniform flow from a line source.
3. Combining different flow types allows modeling of more complex scenarios. A doublet represents a close source-sink pair, and combining it with uniform flow models flow around a cylinder.
This document discusses dimensional analysis and dimensionless numbers that are important in fluid mechanics. It defines Reynolds number, Froude number, Euler number, Weber number, and Mach number. It explains how dimensional analysis can help reduce the number of variables in experimental investigations. It also discusses similitude and the different types of model testing including undistorted and distorted models. The key uses and advantages of model testing are outlined.
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.
Fluid MechanicsVortex flow and impulse momentumMohsin Siddique
1. The momentum equation relates the total force on a fluid system to the rate of change of momentum as fluid flows through a control volume.
2. Forces can be resolved into components in different directions for multi-dimensional flows. The total force is equal to the sum of pressure, body, and reaction forces.
3. Examples of applying the momentum equation include calculating forces on a pipe bend, nozzle, jet impact, and curved vane due to changing fluid momentum. Setting up coordinate systems aligned with the flow is important for resolving forces into components.
This document provides an overview of turbulent fluid flow, including:
1) Turbulent flow occurs when the Reynolds number is greater than 2000 and involves irregular, random movement of fluid particles in all directions.
2) The magnitude and intensity of turbulence can be calculated based on the root mean square of turbulent fluctuations and the average flow velocity.
3) The Moody diagram relates the friction factor to the Reynolds number and relative roughness of a pipe to characterize head losses in turbulent pipe flow.
This document discusses open channel flow and its various types. It defines open channel flow as flow with a free surface driven by gravity. It describes four main types of open channel flows:
1. Steady and unsteady flow
2. Uniform and non-uniform flow
3. Laminar and turbulent flow
4. Sub-critical, critical, and super-critical flow
It also discusses discharge equations for open channels including Chezy's formula, Manning's formula, and Bazin's formula. Finally, it covers specific energy, critical depth, and the hydraulic jump in open channel flow.
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 dimensional analysis and its applications. It begins with an introduction to dimensions, units, fundamental and derived dimensions. It then discusses dimensional homogeneity, methods of dimensional analysis including Rayleigh's method and Buckingham's π-theorem. The document also covers model analysis, similitude, model laws, model and prototype relations. It provides examples of applying Rayleigh's method and Buckingham's π-theorem to define relationships between variables. Finally, it discusses different types of forces acting on fluids and dimensionless numbers, and provides model laws for Reynolds, Froude, Euler and Weber numbers.
Fluid properties like density, viscosity, and specific gravity are important to characterize different fluids. Density is defined as mass per unit volume and determines whether a flow is compressible or incompressible. Viscosity measures a fluid's resistance to flow and internal friction. It is proportional to shear stress and inversely proportional to velocity gradient. Water has a viscosity of 1x10-3 N-s/m2 while air is less viscous at 1.8x10-5 N-s/m2. Specific gravity is the ratio of a fluid's density to that of water and is a dimensionless property.
This document provides an overview of boundary layer concepts and laminar and turbulent pipe flow. It defines boundary layer thickness, displacement thickness, and momentum thickness. It describes how boundary layers develop on surfaces and transition from laminar to turbulent. It also discusses Reynolds number effects, momentum integral estimates for flat plates, and examples calculating boundary layer thickness in air and water flow. Finally, it introduces concepts of laminar and turbulent pipe flow.
B.TECH. DEGREE COURSE
SCHEME AND SYLLABUS
(2002-03 admission onwards)
MAHATMA GANDHI UNIVERSITY,mg university, KTU
KOTTAYAM
KERALA
Module 1
Introduction - Proprties of fluids - pressure, force, density, specific weight, compressibility, capillarity, surface tension, dynamic and kinematic viscosity-Pascal’s law-Newtonian and non-Newtonian fluids-fluid statics-measurement of pressure-variation of pressure-manometry-hydrostatic pressure on plane and curved surfaces-centre of pressure-buoyancy-floation-stability of submerged and floating bodies-metacentric height-period of oscillation.
Module 2
Kinematics of fluid motion-Eulerian and Lagrangian approach-classification and representation of fluid flow- path line, stream line and streak line. Basic hydrodynamics-equation for acceleration-continuity equation-rotational and irrotational flow-velocity potential and stream function-circulation and vorticity-vortex flow-energy variation across stream lines-basic field flow such as uniform flow, spiral flow, source, sink, doublet, vortex pair, flow past a cylinder with a circulation, Magnus effect-Joukowski theorem-coefficient of lift.
Module 3
Euler’s momentum equation-Bernoulli’s equation and its limitations-momentum and energy correction factors-pressure variation across uniform conduit and uniform bend-pressure distribution in irrotational flow and in curved boundaries-flow through orifices and mouthpieces, notches and weirs-time of emptying a tank-application of Bernoulli’s theorem-orifice meter, ventury meter, pitot tube, rotameter.
Module 4
Navier-Stoke’s equation-body force-Hagen-Poiseullie equation-boundary layer flow theory-velocity variation- methods of controlling-applications-diffuser-boundary layer separation –wakes, drag force, coefficient of drag, skin friction, pressure, profile and total drag-stream lined body, bluff body-drag force on a rectangular plate-drag coefficient for flow around a cylinder-lift and drag force on an aerofoil-applications of aerofoil- characteristics-work done-aerofoil flow recorder-polar diagram-simple problems.
Module 5
Flow of a real fluid-effect of viscosity on fluid flow-laminar and turbulent flow-boundary layer thickness-displacement, momentum and energy thickness-flow through pipes-laminar and turbulent flow in pipes-critical Reynolds number-Darcy-Weisback equation-hydraulic radius-Moody;s chart-pipes in series and parallel-siphon losses in pipes-power transmission through pipes-water hammer-equivalent pipe-open channel flow-Chezy’s equation-most economical cross section-hydraulic jump.
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.
This document provides an overview of hydraulic machines and turbines. It defines hydraulic machines as machines that convert hydraulic energy (water energy) to mechanical energy or vice versa. Turbines are hydraulic machines that convert hydraulic energy to mechanical energy, while pumps convert mechanical energy to hydraulic energy. The document then discusses various types of turbines in more detail, including impulse turbines like the Pelton turbine and reaction turbines like the Francis turbine and Kaplan turbine. It covers the basic workings, components, applications and efficiencies of these different turbine types. Finally, it introduces the concept of performance characteristic curves for turbines.
This document discusses key concepts in fluid kinematics and dynamics. It defines streamlines, pathlines, and streaklines as field lines that describe the motion of fluid particles. Streamlines show instantaneous velocity, pathlines show trajectories over time, and streaklines show where particles have passed. The document also classifies fluid flows as steady or unsteady, uniform or non-uniform, laminar or turbulent, rotational or irrotational, and one, two, or three-dimensional. Finally, it discusses momentum equations and their application to forces on pipe bends, as well as Bernoulli's theorem.
This document discusses boundary layer development. It begins by defining boundary layers and describing the velocity profile near a surface. As distance from the leading edge increases, the boundary layer thickness grows due to viscous forces slowing fluid particles. The boundary layer then transitions from laminar to turbulent. Turbulent boundary layers have a logarithmic velocity profile and thicker boundary layer compared to laminar. Pressure gradients and surface roughness also impact boundary layer development and transition.
Unit 6 discusses losses in pipes, including major and minor losses. Major losses are due to friction and calculated using Darcy-Weisbach or Chezy's formulas. Minor losses are due to changes in pipe direction, size, or obstructions and are also calculated using specific formulas. The document also discusses equivalent pipes, pipes in series, pipes in parallel, and two and three reservoir pipe flow analysis problems. Head losses are calculated using friction and minor loss formulas, and continuity and energy equations are used to analyze pipe flows.
This document discusses boundary layer concepts and control methods. It defines boundary layer thickness as the region near a surface where velocity increases from zero to the free stream velocity. It then defines and derives equations for various boundary layer thicknesses including nominal thickness, displacement thickness, momentum thickness, and energy thickness. It describes boundary layer separation occurring when pressure gradients cause the layer to separate from the surface. Finally, it lists several methods to control the boundary layer such as streamlining, boundary layer tripping, suction, injection, slots, and swirl generation.
Fluid MechanicsLosses in pipes dynamics of viscous flowsMohsin Siddique
This document discusses fluid flow in pipes. It defines the Reynolds number and explains laminar and turbulent flow regimes. It also covers the Darcy-Weisbach equation for calculating head losses due to pipe friction. The friction factor is determined using Moody diagrams based on Reynolds number and relative pipe roughness. Examples are provided to calculate friction factor, head loss, and flow rate for different pipe flow conditions.
This document defines and describes different types of fluid flows. It discusses ideal and real fluids, Newtonian and non-Newtonian fluids, laminar and turbulent flow, steady and unsteady flow, uniform and non-uniform flow, compressible and incompressible flow, rotational and irrotational flow, and viscous and non-viscous flow. Key fluid properties like viscosity, density, and compressibility are covered. Examples are provided to illustrate different fluid types and flows.
This document provides an overview of open channel flow and hydraulic machinery. It discusses various types of channels and flows, including steady/unsteady, uniform/non-uniform, laminar/turbulent, and subcritical/critical/supercritical flows. It also covers velocity distribution, discharge calculation methods like Chezy's formula and Manning's equation, specific energy and specific energy curves, hydraulic jump, and gradually varied flow. The document concludes with discussing most economical channel sections and example problems.
The document discusses physical hydraulic model testing of structures. It provides an outline for a one-day training on the topic. The training will cover:
- What hydraulic structures are and why physical testing is conducted
- The hydraulic design procedure and testing options
- Conducting a SWOT analysis of physical model testing
It will also cover the theoretical background of physical modeling, including similitude laws and dimensionless numbers. A practical exercise on computing model dimensions is included. The training will conclude with a case study of physical model testing conducted for the Diamer Basha Dam project in Pakistan.
Dimensional analysis Similarity laws Model laws R A Shah
Rayleigh's method- Theory and Examples
Buckingham Pi Theorem- Theory and Examples
Model and Similitude
Forces on Fluid
Dimensionless Numbers
Model laws
Distorted models
This document discusses dimensional analysis and dimensionless numbers that are important in fluid mechanics. It defines Reynolds number, Froude number, Euler number, Weber number, and Mach number. It explains how dimensional analysis can help reduce the number of variables in experimental investigations. It also discusses similitude and the different types of model testing including undistorted and distorted models. The key uses and advantages of model testing are outlined.
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.
Fluid MechanicsVortex flow and impulse momentumMohsin Siddique
1. The momentum equation relates the total force on a fluid system to the rate of change of momentum as fluid flows through a control volume.
2. Forces can be resolved into components in different directions for multi-dimensional flows. The total force is equal to the sum of pressure, body, and reaction forces.
3. Examples of applying the momentum equation include calculating forces on a pipe bend, nozzle, jet impact, and curved vane due to changing fluid momentum. Setting up coordinate systems aligned with the flow is important for resolving forces into components.
This document provides an overview of turbulent fluid flow, including:
1) Turbulent flow occurs when the Reynolds number is greater than 2000 and involves irregular, random movement of fluid particles in all directions.
2) The magnitude and intensity of turbulence can be calculated based on the root mean square of turbulent fluctuations and the average flow velocity.
3) The Moody diagram relates the friction factor to the Reynolds number and relative roughness of a pipe to characterize head losses in turbulent pipe flow.
This document discusses open channel flow and its various types. It defines open channel flow as flow with a free surface driven by gravity. It describes four main types of open channel flows:
1. Steady and unsteady flow
2. Uniform and non-uniform flow
3. Laminar and turbulent flow
4. Sub-critical, critical, and super-critical flow
It also discusses discharge equations for open channels including Chezy's formula, Manning's formula, and Bazin's formula. Finally, it covers specific energy, critical depth, and the hydraulic jump in open channel flow.
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 dimensional analysis and its applications. It begins with an introduction to dimensions, units, fundamental and derived dimensions. It then discusses dimensional homogeneity, methods of dimensional analysis including Rayleigh's method and Buckingham's π-theorem. The document also covers model analysis, similitude, model laws, model and prototype relations. It provides examples of applying Rayleigh's method and Buckingham's π-theorem to define relationships between variables. Finally, it discusses different types of forces acting on fluids and dimensionless numbers, and provides model laws for Reynolds, Froude, Euler and Weber numbers.
Fluid properties like density, viscosity, and specific gravity are important to characterize different fluids. Density is defined as mass per unit volume and determines whether a flow is compressible or incompressible. Viscosity measures a fluid's resistance to flow and internal friction. It is proportional to shear stress and inversely proportional to velocity gradient. Water has a viscosity of 1x10-3 N-s/m2 while air is less viscous at 1.8x10-5 N-s/m2. Specific gravity is the ratio of a fluid's density to that of water and is a dimensionless property.
This document provides an overview of boundary layer concepts and laminar and turbulent pipe flow. It defines boundary layer thickness, displacement thickness, and momentum thickness. It describes how boundary layers develop on surfaces and transition from laminar to turbulent. It also discusses Reynolds number effects, momentum integral estimates for flat plates, and examples calculating boundary layer thickness in air and water flow. Finally, it introduces concepts of laminar and turbulent pipe flow.
B.TECH. DEGREE COURSE
SCHEME AND SYLLABUS
(2002-03 admission onwards)
MAHATMA GANDHI UNIVERSITY,mg university, KTU
KOTTAYAM
KERALA
Module 1
Introduction - Proprties of fluids - pressure, force, density, specific weight, compressibility, capillarity, surface tension, dynamic and kinematic viscosity-Pascal’s law-Newtonian and non-Newtonian fluids-fluid statics-measurement of pressure-variation of pressure-manometry-hydrostatic pressure on plane and curved surfaces-centre of pressure-buoyancy-floation-stability of submerged and floating bodies-metacentric height-period of oscillation.
Module 2
Kinematics of fluid motion-Eulerian and Lagrangian approach-classification and representation of fluid flow- path line, stream line and streak line. Basic hydrodynamics-equation for acceleration-continuity equation-rotational and irrotational flow-velocity potential and stream function-circulation and vorticity-vortex flow-energy variation across stream lines-basic field flow such as uniform flow, spiral flow, source, sink, doublet, vortex pair, flow past a cylinder with a circulation, Magnus effect-Joukowski theorem-coefficient of lift.
Module 3
Euler’s momentum equation-Bernoulli’s equation and its limitations-momentum and energy correction factors-pressure variation across uniform conduit and uniform bend-pressure distribution in irrotational flow and in curved boundaries-flow through orifices and mouthpieces, notches and weirs-time of emptying a tank-application of Bernoulli’s theorem-orifice meter, ventury meter, pitot tube, rotameter.
Module 4
Navier-Stoke’s equation-body force-Hagen-Poiseullie equation-boundary layer flow theory-velocity variation- methods of controlling-applications-diffuser-boundary layer separation –wakes, drag force, coefficient of drag, skin friction, pressure, profile and total drag-stream lined body, bluff body-drag force on a rectangular plate-drag coefficient for flow around a cylinder-lift and drag force on an aerofoil-applications of aerofoil- characteristics-work done-aerofoil flow recorder-polar diagram-simple problems.
Module 5
Flow of a real fluid-effect of viscosity on fluid flow-laminar and turbulent flow-boundary layer thickness-displacement, momentum and energy thickness-flow through pipes-laminar and turbulent flow in pipes-critical Reynolds number-Darcy-Weisback equation-hydraulic radius-Moody;s chart-pipes in series and parallel-siphon losses in pipes-power transmission through pipes-water hammer-equivalent pipe-open channel flow-Chezy’s equation-most economical cross section-hydraulic jump.
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.
This document provides an overview of hydraulic machines and turbines. It defines hydraulic machines as machines that convert hydraulic energy (water energy) to mechanical energy or vice versa. Turbines are hydraulic machines that convert hydraulic energy to mechanical energy, while pumps convert mechanical energy to hydraulic energy. The document then discusses various types of turbines in more detail, including impulse turbines like the Pelton turbine and reaction turbines like the Francis turbine and Kaplan turbine. It covers the basic workings, components, applications and efficiencies of these different turbine types. Finally, it introduces the concept of performance characteristic curves for turbines.
This document discusses key concepts in fluid kinematics and dynamics. It defines streamlines, pathlines, and streaklines as field lines that describe the motion of fluid particles. Streamlines show instantaneous velocity, pathlines show trajectories over time, and streaklines show where particles have passed. The document also classifies fluid flows as steady or unsteady, uniform or non-uniform, laminar or turbulent, rotational or irrotational, and one, two, or three-dimensional. Finally, it discusses momentum equations and their application to forces on pipe bends, as well as Bernoulli's theorem.
This document discusses boundary layer development. It begins by defining boundary layers and describing the velocity profile near a surface. As distance from the leading edge increases, the boundary layer thickness grows due to viscous forces slowing fluid particles. The boundary layer then transitions from laminar to turbulent. Turbulent boundary layers have a logarithmic velocity profile and thicker boundary layer compared to laminar. Pressure gradients and surface roughness also impact boundary layer development and transition.
Unit 6 discusses losses in pipes, including major and minor losses. Major losses are due to friction and calculated using Darcy-Weisbach or Chezy's formulas. Minor losses are due to changes in pipe direction, size, or obstructions and are also calculated using specific formulas. The document also discusses equivalent pipes, pipes in series, pipes in parallel, and two and three reservoir pipe flow analysis problems. Head losses are calculated using friction and minor loss formulas, and continuity and energy equations are used to analyze pipe flows.
This document discusses boundary layer concepts and control methods. It defines boundary layer thickness as the region near a surface where velocity increases from zero to the free stream velocity. It then defines and derives equations for various boundary layer thicknesses including nominal thickness, displacement thickness, momentum thickness, and energy thickness. It describes boundary layer separation occurring when pressure gradients cause the layer to separate from the surface. Finally, it lists several methods to control the boundary layer such as streamlining, boundary layer tripping, suction, injection, slots, and swirl generation.
Fluid MechanicsLosses in pipes dynamics of viscous flowsMohsin Siddique
This document discusses fluid flow in pipes. It defines the Reynolds number and explains laminar and turbulent flow regimes. It also covers the Darcy-Weisbach equation for calculating head losses due to pipe friction. The friction factor is determined using Moody diagrams based on Reynolds number and relative pipe roughness. Examples are provided to calculate friction factor, head loss, and flow rate for different pipe flow conditions.
This document defines and describes different types of fluid flows. It discusses ideal and real fluids, Newtonian and non-Newtonian fluids, laminar and turbulent flow, steady and unsteady flow, uniform and non-uniform flow, compressible and incompressible flow, rotational and irrotational flow, and viscous and non-viscous flow. Key fluid properties like viscosity, density, and compressibility are covered. Examples are provided to illustrate different fluid types and flows.
This document provides an overview of open channel flow and hydraulic machinery. It discusses various types of channels and flows, including steady/unsteady, uniform/non-uniform, laminar/turbulent, and subcritical/critical/supercritical flows. It also covers velocity distribution, discharge calculation methods like Chezy's formula and Manning's equation, specific energy and specific energy curves, hydraulic jump, and gradually varied flow. The document concludes with discussing most economical channel sections and example problems.
The document discusses physical hydraulic model testing of structures. It provides an outline for a one-day training on the topic. The training will cover:
- What hydraulic structures are and why physical testing is conducted
- The hydraulic design procedure and testing options
- Conducting a SWOT analysis of physical model testing
It will also cover the theoretical background of physical modeling, including similitude laws and dimensionless numbers. A practical exercise on computing model dimensions is included. The training will conclude with a case study of physical model testing conducted for the Diamer Basha Dam project in Pakistan.
Dimensional analysis Similarity laws Model laws R A Shah
Rayleigh's method- Theory and Examples
Buckingham Pi Theorem- Theory and Examples
Model and Similitude
Forces on Fluid
Dimensionless Numbers
Model laws
Distorted models
The document provides an overview of dimensional analysis and its applications in fluid mechanics. Dimensional analysis is a tool used to correlate analytical and experimental results and predict prototype behavior from model measurements. It involves identifying the fundamental dimensions of variables (e.g. mass, length, time) and establishing dimensionless relationships between variables using methods like Rayleigh's or Buckingham's π-theorem. Dimensional analysis is important for model analysis where dynamic similarity between a model and prototype must be achieved. The document discusses different model laws used to design models for similarity based on dominant forces like viscosity, gravity, etc. It also provides scale ratios required for geometric, kinematic and dynamic similarity.
This document provides information about dimensional analysis and model studies in fluid mechanics. It defines dimensional analysis as a technique that uses the study of dimensions to help solve engineering problems. Buckingham π theorem is discussed, which states that physical phenomena with n variables can be expressed in terms of n-m dimensionless terms, where m is the number of fundamental dimensions. Several model laws are defined, including Reynolds, Froude, Euler, and Weber laws. Hydraulic models are classified as undistorted or distorted, and scale effects are discussed.
- Dimensional analysis is a technique used to determine the relationship between variables in a physical phenomenon based on their dimensions and units.
- It allows reducing the number of variables needed to describe a phenomenon through the use of dimensionless parameters known as π terms.
- Lord Rayleigh and Buckingham developed systematic methods for dimensional analysis. Buckingham's π-method involves identifying all variables, their dimensions, and grouping them into as many dimensionless π terms as needed to describe the phenomenon.
Dimension less numbers in applied fluid mechanicstirath prajapati
In dimensional analysis, a dimensionless quantity is a quantity to which no physical dimension is assigned. It is also known as a bare number or pure number or a quantity of dimension one[1] and the corresponding unit of measurement in the SI is one (or 1) unit[2][3] and it is not explicitly shown. Dimensionless quantities are widely used in many fields, such as mathematics, physics, chemistry, engineering, and economics. Examples of quantities, to which dimensions are regularly assigned, are length, time, and speed, which are measured in dimensional units, such as meter , second and meter per second. This is considered to aid intuitive understanding. However, especially in mathematical physics, it is often more convenient to drop the assignment of explicit dimensions and express the quantities without dimensions, e.g., addressing the speed of light simply by the dimensionless number 1.
The document discusses properties of fluids and dimensional analysis. It covers 10 key properties of fluids including mass density, specific weight, specific volume, viscosity, and surface tension. It provides definitions, formulas, values and units for each property. It also discusses how properties vary with temperature and pressure. Dimensional analysis techniques like Rayleigh's method and Buckingham π-theorem are explained along with their applications. Model analysis and different types of similarities (geometric, kinematic, dynamic) are defined. Finally, the document discusses fluid statics topics like pressure measurement devices, hydrostatic forces, and buoyancy.
008a (PPT) Dim Analysis & Similitude.pdfhappycocoman
This document discusses dimensional analysis and similitude. It defines dimensional analysis as the study of relations between physical quantities based on their units and dimensions. Dimensional analysis involves identifying the base quantities like length, mass, time that physical quantities are measured in. Dimensional analysis is useful for checking equations for dimensional homogeneity and developing scaling laws. The document discusses Rayleigh's and Buckingham π theorem methods of dimensional analysis. It also discusses the three types of similitude required for model analysis: geometric, kinematic and dynamic similitude. Finally, it defines several common dimensionless numbers like Reynolds number, Froude number, Euler number, Weber number and Mach number in terms of dominant forces.
Dimensional analysis is a mathematical technique used to solve engineering problems by studying dimensions. It relies on the principle that dimensionally homogeneous equations will have identical powers of fundamental dimensions (mass, length, time, etc.) on both sides. There are two main methods: Rayleigh's method determines relationships between variables based on dimensional homogeneity. Buckingham's π-theorem determines the minimum number of dimensionless groups needed to describe a phenomenon with multiple variables. Model analysis uses scaled models and dimensional analysis to predict the performance of full-scale structures before being built. Complete similitude between a model and prototype, including geometric, kinematic, and dynamic similarity, allows test results from the model to accurately represent the prototype.
This document summarizes an experiment where a water jet was directed at different targets and the resulting force was measured. Three targets were tested at five flow rates using two nozzle diameters, for a total of 18 data points. A theoretical model for the water jet/target system was developed using momentum and energy equations and compared to experimental results. The model was refined to better match the 30-45% differences between theoretical and measured forces by accounting for factors like the Coanda effect and flow assumptions.
The document discusses various analogies that can be drawn between the transport processes of momentum, heat, and mass. It explains that the basic transport mechanisms are the same and the governing equations are identical in form. Various analogies are presented, including the Reynolds analogy and modifications by Prandtl and von Korman that account for viscous sublayers and buffer layers in turbulent transport.
1. The document discusses physical modeling of hydraulic phenomena. Models are scaled replicas of prototypes. Similarity conditions ensure proportionality between model and prototype values.
2. Geometric, kinematic, and dynamic similarity relate lengths, velocities, accelerations, and forces between models and prototypes. Froude and Reynolds numbers must be equal to satisfy dynamic similarity.
3. Froude models, used for open channels, satisfy equality of Froude numbers. This relates velocity and geometric scales. Example calculations show how to determine prototype values from model measurements for a Froude model.
The document discusses dimensional analysis and modeling. It covers:
1) The seven primary dimensions used in physics - mass, length, time, temperature, current, amount of light, and amount of matter. All other dimensions can be formed from combinations of these.
2) Dimensional homogeneity, which requires that every term in an equation must have the same dimensions.
3) Nondimensionalization, which involves dividing terms by variables and constants to render the equation dimensionless. This produces dimensionless parameters like the Reynolds and Froude numbers.
4) Similarity between models and prototypes in experiments, which requires geometric, kinematic, and dynamic similarity achieved by matching dimensionless groups.
lab 4 requermenrt.pdf
MECH202 – Fluid Mechanics – 2015 Lab 4
Fluid Friction Loss
Introduction
In this experiment you will investigate the relationship between head loss due to fluid friction and
velocity for flow of water through both smooth and rough pipes. To do this you will:
1) Express the mathematical relationship between head loss and flow velocity
2) Compare measured and calculated head losses
3) Estimate unknown pipe roughness
Background
When a fluid is flowing through a pipe, it experiences some resistance due to shear stresses, which
converts some of its energy into unwanted heat. Energy loss through friction is referred to as “head
loss due to friction” and is a function of the; pipe length, pipe diameter, mean flow velocity,
properties of the fluid and roughness of the pipe (the later only being a factor for turbulent flows),
but is independent of pressure under with which the water flows. Mathematically, for a turbulent
flow, this can be expressed as:
hL=f
L
D
V
2
2 g
(Eq.1)
where
hL = Head loss due to friction (m)
f = Friction factor
L = Length of pipe (m)
V = Average flow velocity (m/s)
g = Gravitational acceleration (m/s^2)
Friction head losses in straight pipes of different sizes can be investigated over a wide range of
Reynolds' numbers to cover the laminar, transitional, and turbulent flow regimes in smooth pipes. A
further test pipe is artificially roughened and, at the higher Reynolds' numbers, shows a clear
departure from typical smooth bore pipe characteristics.
Experiment 4: Fluid Friction Loss
The head loss and flow velocity can also be expressed as:
1) hL∝V −whe n flow islaminar
2) hL∝V
n
−whe n flow isturbulent
where hL is the head loss due to friction and V is the fluid velocity. These two types of flow are
seperated by a trasition phase where no definite relationship between hL and V exist. Graphs
of hL −V and log (hL) − log (V ) are shown in Figure 1,
Figure 1. Relationship between hL ( expressed by h) and V ( expressed by u ) ;
as well as log (hL) and log ( V )
Experiment 4: Fluid Friction Loss
Experimental Apparatus
In Figure 2, the fluid friction apparatus is shown on the right while the Hydraulic bench that
supplies the water to the fluid friction apparatus is shown on the left. The flow rate that the
hydraulic bench provides can be measured by measuring the time required to collect a known
volume.
Figure 2. Experimental Apparatus
Experimental Procedure
1) Prime the pipe network with water by running the system until no air appears to be discharging
from the fluid friction apparatus.
2) Open and close the appropriate valves to obtain water flow through the required test pipe, the four
lowest pipes of the fluid friction apparatus will be used for this experiment. From the bottom to the
top, these are; the rough pipe with large diameter and then smooth pipes with three successively
smaller diameters.
3) Measure head loss ...
This document describes a numerical study of flow and energy dissipation in stepped spillways using the FLUENT software. Two stepped spillway models with 5 and 10 steps were analyzed for different flow rates. The k-ε turbulence model and volume of fluid method were used to model turbulence and free surface flow. Numerical results for flow patterns, velocities, and energy dissipation were compared to experimental data from other studies, showing good agreement with errors less than 2%. The results indicate that increasing the flow rate or number of steps reduces energy dissipation, while decreasing step height or length also reduces dissipation.
This document discusses dimensional analysis and model analysis. It begins by introducing dimensional analysis as a technique that uses the dimensions of physical quantities to understand phenomena. It then describes the two types of dimensions: fundamental dimensions like length, time, and mass, and secondary dimensions that are combinations of fundamental ones, like velocity.
It presents the methodology of dimensional analysis, which requires equations to be dimensionally homogeneous. Two common methods are described: Rayleigh's method and Buckingham's pi-theorem. Rayleigh's method can be used for up to 4 variables while Buckingham's pi-theorem groups variables into dimensionless pi-terms. Model analysis is introduced as an experimental method using scale models, and the importance of similitude or
Properties of Fluids, Fluid Static, Buoyancy and Dimensional AnalysisSatish Taji
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This document discusses ship resistance and dimensional analysis for ship resistance model testing. It provides the following key points:
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3. By assuming these resistances are independent, the measured model resistance can be used to estimate the full-scale ship's
application of differential equation and multiple integraldivya gupta
This document discusses differential equations and their applications. It begins by defining differential equations as mathematical equations that relate an unknown function to its derivatives. There are two types: ordinary differential equations involving one variable, and partial differential equations involving two or more variables. Applications are given for modeling physical systems involving mass, springs, dampers, fluid dynamics, heat transfer, and rigid body dynamics. The document also discusses surface and volume integrals involving vectors, with examples of calculating fluid flow rates and mass of water in a reservoir. Differential equations and multiple integrals find diverse applications in engineering fields.
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In the world with high technology and fast
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choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
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Key Words : Talent Management, Talent Acquisition , E-
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Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
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Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Data Communication and Computer Networks Management System Project Report.pdfKamal Acharya
Networking is a telecommunications network that allows computers to exchange data. In
computer networks, networked computing devices pass data to each other along data
connections. Data is transferred in the form of packets. The connections between nodes are
established using either cable media or wireless media.
2. Similitude and Model Analysis
Similitude is a concept used in testing of Engineering
Models.
Usually, it is impossible to obtain a pure theoretical
solution of hydraulic phenomenon.
Therefore experimental investigations are often
performed on small scale models, called model
analysis.
A few examples, where models may be used are
spillway, energy dissipation structures, river channels,
ships in towing basins, hydraulic turbines, centrifugal
pumps etc. and to study such phenomenon as the
action of waves and tides on beaches, soil erosion, and
transportation of sediment etc.
3. Model Analysis
Model: is a small scale replica of the actual structure.
Prototype: the actual structure or machine.
Note: It is not necessary that the models should be
smaller than the prototype, they may be larger than
prototype.
Prototype Model
Lp3
Lp1
Lp2
Fp1
Fp3
Fp2
Lm3
Lm1
Lm2
Fm1
Fm3
Fm2
4. Model Analysis
Model Analysis is actually an experimental method of
finding solutions of complex flow problems.
The followings are the advantages of the model analysis
The performance of the hydraulic structure can be predicted in
advance from its model.
Using dimensional analysis, a relationship between the variables
influencing a flow problem is obtained which help in conducting
tests.
The merits of alternative design can be predicted with the help
of model analysis to adopt most economical, and safe design.
Note: Test performed on models can be utilized for
obtaining, in advance, useful information about the
performance of the prototype only if a complete
similarity exits between the model and the prototype.
9. Similitude-Type of Similarities
Similitude: is defined as similarity between the model
and prototype in every respect, which mean model and
prototype have similar properties or model and
prototype are completely similar.
Three types of similarities must exist between model
and prototype.
Geometric Similarity
Kinematic Similarity
Dynamic Similarity
10. Similitude-Type of Similarities
Geometric Similarity: is the similarity of shape. It is said to exist
between model and prototype if ratio of all the corresponding
linear dimensions in the model and prototype are equal. E.g.
p p p
r
m m m
L B D
L
L B D
= = =
◼ Where: Lp, Bp and Dp are Length, Breadth, and diameter of
prototype and Lm, Bm, Dm are Length, Breadth, and diameter of
model.
◼ Lr= Scale ratio
◼ Note: Models are generally prepared with same scale ratios in every
direction. Such a model is called true model. However, sometimes
it is not possible to do so and different convenient scales are used
in different directions. Such a models is call distorted model
11. Similitude-Type of Similarities
Kinematic Similarity: is the similarity of motion. It is said to exist
between model and prototype if ratio of velocities and acceleration
at the corresponding points in the model and prototype are equal.
E.g.
1 2 1 2
1 2 1 2
;p p p p
r r
m m m m
V V a a
V a
V V a a
= = = =
◼ Where: Vp1& Vp2 and ap1 & ap2 are velocity and accelerations at
point 1 & 2 in prototype and Vm1& Vm2 and am1 & am2 are velocity
and accelerations at point 1 & 2 in model.
◼ Vr and ar are the velocity ratio and acceleration ratio
◼ Note: Since velocity and acceleration are vector quantities, hence
not only the ratio of magnitude of velocity and acceleration at the
corresponding points in model and prototype should be same; but
the direction of velocity and acceleration at the corresponding
points in model and prototype should also be parallel.
12. Similitude-Type of Similarities
Dynamic Similarity: is the similarity of forces. It is said to exist
between model and prototype if ratio of forces at the
corresponding points in the model and prototype are equal. E.g.
( )
( )
( )
( )
( )
( )
gi vp p p
r
i v gm m m
FF F
F
F F F
= = =
◼ Where: (Fi)p, (Fv)p and (Fg)p are inertia, viscous and gravitational
forces in prototype and (Fi)m, (Fv)m and (Fg)m are inertia, viscous
and gravitational forces in model.
◼ Fr is the Force ratio
◼ Note: The direction of forces at the corresponding points in model
and prototype should also be parallel.
13. Types of forces encountered in fluid Phenomenon
Inertia Force, Fi: It is equal to product of mass and acceleration in
the flowing fluid.
Viscous Force, Fv: It is equal to the product of shear stress due to
viscosity and surface area of flow.
Gravity Force, Fg: It is equal to product of mass and acceleration
due to gravity.
Pressure Force, Fp: it is equal to product of pressure intensity and
cross-sectional area of flowing fluid.
Surface Tension Force, Fs: It is equal to product of surface
tension and length of surface of flowing fluid.
Elastic Force, Fe: It is equal to product of elastic stress and area
of flowing fluid.
14. Dimensionless Numbers
These are numbers which are obtained by dividing the
inertia force by viscous force or gravity force or
pressure force or surface tension force or elastic force.
As this is ratio of once force to other, it will be a
dimensionless number. These are also called non-
dimensional parameters.
The following are most important dimensionless
numbers.
Reynold’s Number
Froude’s Number
Euler’s Number
Weber’s Number
Mach’s Number
15. Dimensionless Numbers
Reynold’s Number, Re: It is the ratio of inertia force to the viscous force
of flowing fluid.
. .
Re
. .
. . .
. . .
Velocity Volume
Mass Velocity
Fi Time Time
Fv Shear Stress Area Shear Stress Area
QV AV V AV V VL VL
du VA A A
dy L
= = =
= = = = =
2
. .
. .
. .
. .
Velocity Volume
Mass Velocity
Fi Time TimeFe
Fg Mass Gavitational Acceleraion Mass Gavitational Acceleraion
QV AV V V V
Volume g AL g gL gL
= = =
= = = =
◼ Froude’s Number, Re: It is the ratio of inertia force to the gravity force
of flowing fluid.
16. Dimensionless Numbers
Eulers’s Number, Re: It is the ratio of inertia force to the pressure force
of flowing fluid.
2
. .
Pr . Pr .
. .
. . / /
u
Velocity Volume
Mass Velocity
Fi Time TimeE
Fp essure Area essure Area
QV AV V V V
P A P A P P
= = =
= = = =
2 2
. .
. .
. .
. . .
Velocity Volume
Mass Velocity
Fi Time TimeWe
Fg Surface Tensionper Length Surface Tensionper Length
QV AV V L V V
L L L
L
= = =
= = = =
◼ Weber’s Number, Re: It is the ratio of inertia force to the surface
tension force of flowing fluid.
17. Dimensionless Numbers
Mach’s Number, Re: It is the ratio of inertia force to the elastic force of
flowing fluid.
2 2
2
. .
. .
. .
. . /
: /
Velocity Volume
Mass Velocity
Fi Time TimeM
Fe Elastic Stress Area Elastic Stress Area
QV AV V L V V V
K A K A KL CK
Where C K
= = =
= = = = =
=
18. Model Laws or similarity Laws
We have already read that for dynamic similarity ratio of
corresponding forces acting on prototype and model should be equal.
i.e
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
g pv s e Ip p p p p p
v s e Ig pm m m mm m
F FF F F F
F F F FF F
= = = = =
( ) ( )
( )
( )
( )
( )
Thus dynamic similarity require that
v g p s e I
v g p s e Ip p
Iv g p s e mm
F F F F F F
F F F F F F
FF F F F F
+ + + + =
+ + + +
=
+ + + +
◼ Force of inertial comes in play when sum of all other forces is not
equal to zero which mean
◼ In case all the forces are equally important, the above two
equations cannot be satisfied for model analysis
19. Model Laws or similarity Laws
However, for practical problems it is seen that one
force is most significant compared to other and is
called predominant force or most significant force.
Thus for practical problem only the most significant
force is considered for dynamic similarity. Hence,
models are designed on the basis of ratio of force,
which is dominating in the phenomenon.
Finally the laws on which models are designed for
dynamic similarity are called models laws or laws of
similarity. The followings are these laws
Reynold’s Model Law
Froude’s Model Law
Euler’s Model Law
Weber’s Model Law
mach’s Model Law
20. Reynold’s Model Law
It is based on Reynold’s number and states that
Reynold’s number for model must be equal to the
Reynolds number for prototype.
Reynolds Model Law is used in problems where viscous
forces are dominant. These problems include:
Pipe Flow
Resistance experienced by submarines, airplanes, fully immersed
bodies etc.
( ) ( )Re Re
1
: , ,
m mP P
P m
P m
P P r r
rP
m m
m
P P P
r r r
m m m
V LV L
or
V L V L
V L
V L
where V L
V L
= =
= =
= = =
21. Reynold’s Model Law
The Various Ratios for Reynolds’s Law are obtained as
r
r
r
P P P r
m m m r
P P
r
m m
2
r
r
sin /
Velocity Ratio: V =
L
T L /V L
Time Ratio: Tr=
T L /V V
V / Vr
Acceleration Ratio: a =
V / Tr
Discharge Ratio: Q
Force Ratio: F =
P m
mP P
m P m
P
m
P P
r r
m m
VL VL
ce and
LV
V L
a T
a T
A V
L V
A V
m
= =
= =
= =
= =
= =
2 2 2
2 2 2 3
r r rPower Ratio: P =F .V =
r r r r r r r r r r r r
r r r r r r r
a Q V L V V L V
L V V L V
= = =
=
22. Reynold’s Model Law
Q. A pipe of diameter 1.5 m is required to transport an oil of
specific gravity 0.90 and viscosity 3x10-2 poise at the rate of
3000litre/sec. Tests were conducted on a 15 cm diameter pipe using
water at 20oC. Find the velocity and rate of flow in the model.
p p p p pm m m
m m
2
2
p 2
For pipe flow,
According to Reynolds' Model Law
V D DV D
D
900 1.5 1 10
3.0
1000 0.15 3 10
3.0
Since V
/ 4(1.5)
1.697 /
3.0 5.091 /
5.
m m
m p p p
m
p
p
p
m p
m m m
V
V
V
V
Q
A
m s
V V m s
and Q V A
−
−
= =
= =
= =
=
= =
= = 2
3
091 / 4(0.15)
0.0899 /m s
=
◼ Solution:
◼ Prototype Data:
◼ Diameter, Dp= 1.5m
◼ Viscosity of fluid, μp= 3x10-2 poise
◼ Discharge, Qp =3000litre/sec
◼ Sp. Gr., Sp=0.9
◼ Density of oil=ρp=0.9x1000
=900kg/m3
◼ Model Data:
◼ Diameter, Dm=15cm =0.15 m
◼ Viscosity of water, μm =1x10-2 poise
◼ Density of water, ρm=1000kg/m3n
◼ Velocity of flow Vm=?
◼ Discharge Qm=?
23. Froude’s Model Law
It is based on Froude’s number and states that Froude’s
number for model must be equal to the Froude’s number
for prototype.
Froude’s Model Law is used in problems where gravity
forces is only dominant to control flow in addition to
inertia force. These problems include:
Free surface flows such as flow over spillways, weirs, sluices,
channels etc.
Flow of jet from orifice or nozzle
Waves on surface of fluid
Motion of fluids with different viscosities over one another
( ) ( )e e
/ 1; : ,
m mP P
P m
P P m m P m
P P P
r r r r
m mP
m
m
V VV V
F F or or
g L g L L L
V V L
V L where V L
V LL
V
L
= = =
= = = =
24. Froude’s Model Law
The Various Ratios for Reynolds’s Law are obtained as
r
P P P r
m m m
P P
r
m m
2 2 5/2
r
sin
Velocity Ratio: V
T L /V L
Time Ratio: Tr=
T L /V
V / Vr
Acceleration Ratio: a = 1
V / Tr
Discharge Ratio: Q
Force Ratio: Fr=
mP
P m
pP
r
m m
r
r
rP
m r
P P
r r r r r
m m
r r
VV
ce
L L
LV
L
V L
L
L
La T
a T L
A V
L V L L L
A V
m a
=
= = =
= = =
= = = =
= = = =
=
( )
2 2 2 2 3
3
2 2 2 3 2 7/2
Power Ratio: Pr=Fr.Vr=
r r r r r r r r r r r r r r r
r r r r r r r r r r r r
Q V L V V L V L L L
L V V L V L L L
= = = =
= = =
25. Froude’s Model Law
Q. In the model test of a spillway the discharge and velocity of flow
over the model were 2 m3/s and 1.5 m/s respectively. Calculate the
velocity and discharge over the prototype which is 36 times the
model size.
( ) ( )
( )
2.5 2.5p
m
2.5 3
For Discharge
Q
36
Q
36 2 15552 /sec
r
p
L
Q m
= =
= =
p
m
For Dynamic Similarity,
Froude Model Law is used
V
36 6
V
6 1.5 9 /sec
r
p
L
V m
= = =
= =
◼ Solution: Given that
◼ For Model
◼ Discharge over model, Qm=2 m3/sec
◼ Velocity over model, Vm = 1.5 m/sec
◼ Linear Scale ratio, Lr =36
◼ For Prototype
◼ Discharge over prototype, Qp =?
◼ Velocity over prototype Vp=?
26. Numerical Problem:
Q. The characteristics of the spillway are to be studied by means of a geometrically
similar model constructed to a scale of 1:10.
(i) If 28.3 cumecs, is the maximum rate of flow in prototype, what will be the
corresponding flow in model?
(i) If 2.4m/sec, 50mm and 3.5 Nm are values of velocity at a point on the spillway,
height of hydraulic jump and energy dissipated per second in model, what will be the
corresponding velocity height of hydraulic jump and energy dissipation per second in
prototype?◼ Solution: Given that
For Model
◼ Discharge over model, Qm=?
◼ Velocity over model, Vm = 2.4 m/sec
◼ Height of hydraulic jump, Hm =50 mm
◼ Energy dissipation per second, Em =3.5 Nm
◼ Linear Scale ratio, Lr =10
◼ For Prototype
◼ Discharge over model, Qp=28.3 m3/sec
◼ Velocity over model, Vp =?
◼ Height of hydraulic jump, Hp =?
◼ Energy dissipation per second, Ep =?
27. Froude’s Model Law
p 2.5 2.5
m
2.5 3
p
m
For Discharge:
Q
10
Q
28.3/10 0.0895 /sec
For Velocity:
V
10
V
2.4 10 7.589 /sec
r
m
r
p
L
Q m
L
V m
= =
= =
= =
= =
p
m
p 3.5 3.5
m
3.5
For Hydraulic Jump:
H
10
H
50 10 500
For Energy Dissipation:
E
10
E
3.5 10 11067.9 /sec
r
p
r
p
L
H mm
L
E Nm
= =
= =
= =
= =
28. Classification of Models
Undistorted or True Models: are those which are
geometrically similar to prototype or in other words if the scale
ratio for linear dimensions of the model and its prototype is same,
the models is called undistorted model. The behavior of prototype
can be easily predicted from the results of undistorted or true
model.
Distorted Models: A model is said to be distorted if it is not
geometrically similar to its prototype. For distorted models
different scale ratios for linear dimension are used.
For example, if for the river, both horizontal and vertical scale
ratio are taken to be same, then depth of water in the model of
river will be very very small which may not be measured
accurately.
◼ The followings are the advantages of distorted models
◼ The vertical dimension of the model can be accurately measured
◼ The cost of the model can be reduced
◼ Turbulent flow in the model can be maintained
◼ Though there are some advantage of distorted models, however the results of such models
cannot be directly transferred to prototype.
29. Classification of Models
Scale Ratios for Distorted Models
( )
( )
( )
r
r
P
P
Let: L = Scale ratio for horizontal direction
L =Scale ratio for vertical direction
2
Scale Ratio for Velocity: Vr=V /
2
Scale Ratio for area of flow: Ar=A /
P P
H
m m
P
V
m
P
m r V
m
P P
m
m m
L B
L B
h
h
gh
V L
gh
B h
A
B h
=
=
= =
= = ( ) ( )
( ) ( ) ( ) ( ) ( )
3/2
PScale Ratio for discharge: Qr=Q /
V
r rH V
P P
m r r r r rH V V H
m m
L L
A V
Q L L L L L
A V
= = =
30. Distorted model
Q. The discharge through a weir is 1.5 m3/s. Find the discharge
through the model of weir if the horizontal dimensions of the
model=1/50 the horizontal dimension of prototype and vertical
dimension of model =1/10 the vertical dimension of prototype.
( )
( )
( ) ( )
3
p
r
r
3/2
P
3/2
Solution:
Discharge of River= Q =1.5m /s
Scale ratio for horizontal direction= L =50
Scale ratio for vertical direction= L =10
Since Scale Ratio for discharge: Qr=Q /
/ 50 10
V
P
H
m
P
V
m
m r rH
p m
L
L
h
h
Q L L
Q Q
=
=
=
=
3
1581.14
1.5/1581.14 0.000948 /mQ m s
=
= =
31. Distorted model
Q. A river model is to be constructed to a vertical scale of 1:50 and a
horizontal of 1:200. At the design flood discharge of 450m3/sec, the
average width and depth of flow are 60m and 4.2m respectively. Determine
the corresponding discharge in model and check the Reynolds’ Number of
the model flow.
𝐷𝑖𝑠𝑐ℎ arg 𝑒 𝑜𝑓 𝑅𝑖𝑣𝑒𝑟 = 𝑄 𝑝 = 450𝑚3
/𝑠
𝑊𝑖𝑑𝑡ℎ = 𝐵𝑝 = 60𝑚 𝑎𝑛𝑑 𝐷𝑒𝑝𝑡ℎ = 𝑦𝑝 = 4.2 𝑚
Horizontal scale ratio= Lr 𝐻 =
𝐵 𝑃
𝐵 𝑚
= 200
Vertical scale ratio= Lr 𝑉 =
𝑦 𝑃
𝑦 𝑚
=50
Since Scale Ratio for discharge: Qr=QP/𝑄 𝑚
= 𝐿 𝑟 𝐻 𝐿 𝑟 𝑉
3/2
∴ 𝑄 𝑝/𝑄 𝑚 = 200 × 503/2
= 70710.7
⇒ 𝑄 𝑚 = 450/70710.7 = 6.365 × 10−3
𝑚3
/𝑠
32. Distorted model
( )
( )
m
VL
Reynolds Number, Re =
4
/ 60/ 200 0.3
/ 4.2/50 0.084
0.3 0.084 0.0252
2 0.3 2 0.084 0.468
0.0252
0.05385
0.468
Kinematic Viscosity of w
m
m m
m p r H
m p r V
m m m
m m m
m
m
L R
Width B B L m
Depth y y L m
A B y m
P B y m
A
R
P
=
= = = =
= = = =
= = =
= + = + =
= = =
6 2
6
ater = =1 10 /sec
4 4 0.253 0.05385
Re 54492.31
1 10
>2000
Flow is in turbulent range
m
m
VR
−
−
= = =
33. Dimensional Analysis
Introduction: Dimensional analysis is a mathematical
technique making use of study of dimensions.
This mathematical technique is used in research work
for design and for conducting model tests.
It deals with the dimensions of physical quantities
involved in the phenomenon. All physical quantities are
measured by comparison, which is made with respect
to an arbitrary fixed value.
In dimensional analysis one first predicts the physical
parameters that will influence the flow, and then by,
grouping these parameters in dimensionless
combinations a better understanding of the flow
phenomenon is made possible.
It is particularly helpful in experimental work because
it provides a guide to those things that significantly
influence the phenomena; thus it indicates the
direction in which the experimental work should go.
34. Types of Dimensions
There are two types of dimensions
Fundamental Dimensions or Fundamental Quantities
Secondary Dimensions or Derived Quantities
Fundamental Dimensions or Fundamental
Quantities: These are basic quantities. For Example;
Time, T
Distance, L
Mass, M
35. Types of Dimensions
Secondary Dimensions or Derived Quantities
The are those quantities which possess more than one
fundamental dimension.
For example;
Velocity is denoted by distance per unit time L/T
Acceleration is denoted by distance per unit time square L/T2
Density is denoted by mass per unit volume M/L3
Since velocity, density and acceleration involve more
than one fundamental quantities so these are called
derived quantities.
36. Methodology of Dimensional Analysis
The Basic principle is Dimensional Homogeneity, which
means the dimensions of each terms in an equation on
both sides are equal.
So such an equation, in which dimensions of each term
on both sides of equation are same, is known as
Dimensionally Homogeneous equation. Such equations
are independent of system of units. For example;
Lets consider the equation V=(2gH)1/2
Dimensions of LHS=V=L/T=LT-1
Dimensions of RHS=(2gH)1/2=(L/T2xL)1/2=LT-1
Dimensions of LHS= Dimensions of RHS
So the equation V=(2gH)1/2 is dimensionally
homogeneous equation.
37. Methods of Dimensional Analysis
If the number of variables involved in a physical phenomenon are
known, then the relation among the variables can be determined
by the following two methods;
Rayleigh’s Method
Buckingham’s π-Theorem
Rayleigh’s Method:
It is used for determining expression for a variable (dependent)
which depends upon maximum three to four variables
(Independent) only.
If the number of independent variables are more than 4 then it is
very difficult to obtain expression for dependent variable.
Let X is a dependent variable which depends upon X1, X2, and X3 as
independent variables. Then according to Rayleigh’s Method
X=f(X1, X2, X3) which can be written as
X=K X1
a, X2
b, X3
c
Where K is a constant and a, b, c are arbitrary powers which are
obtained by comparing the powers of fundamental dimensions.
38. Rayleigh’s Method
Q. The resisting force R of a supersonic plane during flight can be
considered as dependent upon the length of the aircraft l, velocity V, air
viscosity μ, air density ρ, and bulk modulus of air k. Express the functional
relationship between the variables and the resisting force.
-2 1 1 1 3 1 2
( , , , , ) , , , , (1)
Where: A = Non dimensional constant
Substituting the powers on both sides of the equation
( ) ( ) ( ) ( )
Equating the powers of MLT on both
a b c d e
a b c d e
R f l V K R Al V K
MLT AL LT ML T ML ML T
− − − − − −
= =
=
sides
Power of M 1
Power of L 1 - -3 -
Power of T 2 - - -2
c d e
a b c d e
b c e
= + +
= +
− =
◼ Solution:
39. Rayleigh’s Method
Since the unkown(5) are more than number of equations(3). So expressing
a, b & c in terms of d & e
1- -
2- -2
1- 3 1-(2- -2 ) 3(1- - )
1-2 2 3-3 -3 2-
Substituting the values
d c e
b c e
a b c d e c e c c e e
c e c c e e c
=
=
= + + + = + + +
= + + + + + =
2 2 2 1 2 2 2
2 2
2
2 2
2
in (1), we get
( )( )c c e c c e e c c c c e e e
c e
R Al V K Al V l V V K
K
R A l V
Vl V
K
R A l V
Vl V
− − − − − − − − − −
= =
=
=
40. Buckingham’s π-Theorem:
Buckingham’s π-Theorem: Since Rayleigh’s Method becomes
laborious if variables are more than fundamental dimensions (MLT),
so the difficulty is overcome by Buckingham’s π-Theorem which
states that
“If there are n variables (Independent and Dependent) in a
physical phenomenon and if these variables contain m fundamental
dimensions then the variables are arranged into (n-m)
dimensionless terms which are called π-terms.”
Let X1, X2, X3,…,X4, Xn are the variables involved in a physical
problem. Let X1 be the dependent variable and X2, X3, X4,…,Xn
are the independent variables on which X1 depends.
Mathematically it can be written as
X1=f(X2 ,X3 ,X4 ,Xn) which can be rewritten as
f1(X1,X2 X3 X4 Xn)=0
Above equation is dimensionally homogenous. It contain n
variables and if there are m fundamental dimensions then it can be
written in terms of dimensions groups called π-terms which are
equal to (n-m)
Hence f1(π1 π2 π3,… πn-m)=0
41. Buckingham’s π-Theorem:
Properties of π-terms:
Each π-term is dimensionless and is independent of system of
units.
Division or multiplication by a constant does not change the
character of the π-terms.
Each π-term contains m+1 variables, where m is the number of
fundamental dimensions and also called repeating variable.
Let in the above case X2, X3, X4 are repeating variables and if
fundamental dimensions m=3 then each π-term is written as
Π1=X2
a1. X3
b1. X4
a1 .X1
Π2=X2
a2. X3
b2. X4
a2 .X5
.
Πn-m=X2
a(n-m). X3
b(n-m). X4
a(n-m) .Xn
Each equation is solved by principle of dimensionless homogeneity and values
of a1, b1 & c1 etc are obtained. Final result is in the form of
Π1=(Π2, Π3, Π4 ,…, Π(n-m))
Π2=(Π1, Π3, Π4 ,…, Π(n-m))
42. Methods of Selecting Repeating Variables
The number of repeating variables are equal to number
of fundamental dimensions of the problem. The choice
of repeating variables is governed by following
considerations;
As far as possible, dependent variable should’t be selected as
repeating variable
The repeating variables should be chosen in such a way that one
variable contains geometric property, other contains flow property
and third contains fluid property.
The repeating variables selected should form a dimensionless group
The repeating variables together must have the same number of
fundamental dimension.
No two repeating variables should have the same dimensions.
Note: In most of fluid mechanics problems, the choice of repeating
variables may be (i) d,v ρ, (ii) l,v,ρ or (iii) d, v, μ.
43. Buckingham’s π-Theorem:
Q. The resisting force R of a supersonic plane during flight can be
considered as dependent upon the length of the aircraft l, velocity
V, air viscosity μ, air density ρ, and bulk modulus of air k. Express
the functional relationship between the variables and the resisting
force.
1 2 3
( , , , , ) ( , , , , , ) 0
Total number of variables, n= 6
No. of fundamental dimension, m=3
No. of dimensionless -terms, n-m=3
Thus: ( , , ) 0
No. Repeating variables =m=3
Repeating variables = ,
R f l V K f R l V K
f
l
= =
=
1 1 1
1
2 2 2
2
3 3 3
3
,
π-terms are written as
a b c
a b c
a b c
V
Thus
l V R
l V
l V K
=
=
=
44. Buckingham’s π-Theorem:
Now each Pi-term is solved by the principle of dimensional
homogeneity
1 1 1 3 1 2
1
1 1
1 1 1 1
1 1
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0=c +1 c =-1
Power of L: 0=a +b -3c +1 2
Power of T: 0=-b -2 b =-2
o o o a b c
term M L T L LT ML MLT
a
− − −
− =
= −
-2 -2 -2
1 1 2 2
2 1 2 3 2 1 1
2
2 2
2 2 2 2
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0 1 -1
Power of L: 0 -3 -1 1
Pow
o o o a b c
R
l V R
L V
term M L T L LT ML ML T
c c
a b c a
− − − −
= =
− =
= + =
= + = −
2 2
-1 -1 -1
2 2
er of T: 0 - -1 -1b b
l V
lV
= =
= =
45. Buckingham’s π-Theorem:
3 1 3 3 3 1 2
3
3 3
3 3 3 3
3 3
( ) ( )
Equating the powers of MLT on both sides, we get
Power of M: 0 1 -1
Power of L: 0 -3 -1 0
Power of T: 0 - - 2 -2
o o o a b c
term M L T L LT ML ML T
c c
a b c a
b b
− − − −
− =
= + =
= + = −
= =
0 -2 -1
3 2 2
1 2 3 2 2 2
2 2
2 2 2 2
( ) , , 0
, ,
K
l V K
V
Hence
R K
f f or
l V lV V
R K K
R l V
l V lV V lV V
= =
= =
= =