BUCKINGHAM PI THEOREM

Similar documents
BUCKINGHAM PI THEOREM

1.The pressure drop per unit length that develops due to friction cannot generally be solved analytically. A. True B. False

It is important to develop a meaningful and systematic way to perform an experiment.

ME 3560 Fluid Mechanics

It is important to develop a meaningful and systematic way to perform an experiment.

Flow past a circular cylinder with Re 2000: The pathlines of flow past any circular cylinder 1regardless of size, velocity, or fluid2 are as shown

Dimensional and Model Analysis

UNIT V : DIMENSIONAL ANALYSIS AND MODEL STUDIES

UNIT -5. Dimensional Analysis. Model Analysis. Fundamental Dimensions Dimensional Homogeneity Method of analysis

V. MODELING, SIMILARITY, AND DIMENSIONAL ANALYSIS To this point, we have concentrated on analytical methods of solution for fluids problems.

Chapter 7 DIMENSIONAL ANALYSIS AND SIMILITUDE Because so few real flows can be solved exactly by analytical methods alone, the development of fluid

CEE 3310 Dimensional Analysis & Similitude, Oct. 22,

UNIT IV DIMENSIONAL AND MODEL ANALYSIS

Go back to the main index page

Similitude and Dimensional Analysis. CE Fluid Mechanics Diogo Bolster

Scaling and Dimensional Analysis

Hydraulic Engineering

Hydromechanics: Course Summary

Dimensional Analysis (Partial Analysis)

Reduction of Variables Dimensional Analysis

Chapter 2 Similitude Theory and Applications

B.E/B.Tech/M.E/M.Tech : Chemical Engineering Regulation: 2016 PG Specialisation : NA Sub. Code / Sub. Name : CH16304 FLUID MECHANICS Unit : I

Please remember all the unit that you use in your calculation. There are no marks for correct answer without unit.

Middle East Technical University Department of Mechanical Engineering ME 305 Fluid Mechanics I Fall 2018 Section 4 (Dr.

Introduction to Marine Hydrodynamics

DIMENSIONAL ANALYSIS IN MOMENTUM TRANSFER

Chapter 7: Dimensional Analysis

Dimensional Analysis and Similarity

CHAPTER 9 DIMENSIONAL ANALYSIS AND SCALING

Dimensions represent classes of units we use to describe a physical quantity. Most fluid problems involve four primary dimensions

TURBOMACHINES. VIJAYAVITHAL BONGALE Associate Professor and Head Department of Mechanical Engineering Malnad College of Engineering, Hassan

5 SIMILITUDE. 5.1 Use of Nondimensional Groups

Fundamentals of Fluid Mechanics

DIMENSIONAL REASONING

Interpreting Differential Equations of Transport Phenomena

MEC-E2001 Ship Hydrodynamics. Prof. Z. Zong Room 213a, K3, Puumiehenkuja 5A, Espoo

Dimensional Analysis


Engineering Fluid Mechanics

ENGINEERING FLUID MECHANICS. CHAPTER 1 Properties of Fluids

Fluid Mechanics. du dy

Prof. Scalo Prof. Vlachos Prof. Ardekani Prof. Dabiri 08:30 09:20 A.M 10:30 11:20 A.M. 1:30 2:20 P.M. 3:30 4:20 P.M.

Lab #4 Similitude: The Kármán Vortex Street CEE 331 Fall 2004

Modeling. Eric G. Paterson. Spring Department of Mechanical and Nuclear Engineering The Pennsylvania State University.

UNIT III DIMENSIONAL ANALYSIS

Homework #1 Solution Problem 1

Fluid Mechanics III. 1. Dimensional analysis and similarity

ME3560 Tentative Schedule Spring 2019

Fluid Dynamics Exercises and questions for the course

Introduction to Fluid Mechanics

ME3560 Tentative Schedule Fall 2018

Signature: (Note that unsigned exams will be given a score of zero.)

150A Review Session 2/13/2014 Fluid Statics. Pressure acts in all directions, normal to the surrounding surfaces

Chapter 1: Basic Concepts

FE Fluids Review March 23, 2012 Steve Burian (Civil & Environmental Engineering)

Fluid Mechanics. Contributors of Fluid Mechanics

Institute of Aeronautical Engineering

UNIT II. Buoyancy and Kinematics of Fluid Motion

Dimensional Reasoning- Lecture Notes

Tutorial 10. Boundary layer theory

TWO MARKS QUESTIONS AND ANSWERS

Modeling with Geometric Similarity and Dimensional Analysis

Fluid Mechanics c) Orificemeter a) Viscous force, Turbulence force, Compressible force a) Turbulence force c) Integration d) The flow is rotational

OPEN CHANNELS (OPEN CHANNEL FLOW AND HYDRAULIC MACHINERY)

Closed duct flows are full of fluid, have no free surface within, and are driven by a pressure gradient along the duct axis.

Fluid Mechanics Theory I

2. FLUID-FLOW EQUATIONS SPRING 2019

Physical modelling of hydraulics

9/17/2014. Fluid Mechanics (I) Introduction. Hamid-Reza Kariminia Fall, Idle vs. Moving Car. Any change in smoke distribution?

NPTEL Quiz Hydraulics

Performance. 5. More Aerodynamic Considerations

S.E. (Mech.) (First Sem.) EXAMINATION, (Common to Mech/Sandwich) FLUID MECHANICS (2008 PATTERN) Time : Three Hours Maximum Marks : 100

VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur

Closed duct flows are full of fluid, have no free surface within, and are driven by a pressure gradient along the duct axis.

Department of Civil Engineering Hydraulics and Water Resources Division Application and Solution I

LECTURE NOTES - VIII. Prof. Dr. Atıl BULU

14 Dimensional Analysis

Open Channel Flow I - The Manning Equation and Uniform Flow COURSE CONTENT

Process Fluid Mechanics

Fluid Mechanics. Spring 2009

Chapter 3: Factors, Roots, and Powers

Fluid Mechanics Chapter 6 Scale effects

Chapter 1 Dimensions, Units, and Their Conversion

In this process the temperature difference across the given length of pipe can be described as:

Introduction to Aerodynamics. Dr. Guven Aerospace Engineer (P.hD)

Detailed Outline, M E 320 Fluid Flow, Spring Semester 2015

William В. Brower, Jr. A PRIMER IN FLUID MECHANICS. Dynamics of Flows in One Space Dimension. CRC Press Boca Raton London New York Washington, D.C.

UNIFORM FLOW CRITICAL FLOW GRADUALLY VARIED FLOW

CE FLUID MECHANICS AND MECHINERY UNIT I

HOW TO GET A GOOD GRADE ON THE MME 2273B FLUID MECHANICS 1 EXAM. Common mistakes made on the final exam and how to avoid them

REE 307 Fluid Mechanics II. Lecture 1. Sep 27, Dr./ Ahmed Mohamed Nagib Elmekawy. Zewail City for Science and Technology

Variable Normalization (nondimensionalization and scaling) for Navier-Stokes equations: a practical guide

Empirical Co - Relations approach for solving problems of convection 10:06:43

Fluid Mechanics 3502 Day 1, Spring 2018

FLUID MECHANICS. Gaza. Chapter CHAPTER 44. Motion of Fluid Particles and Streams. Dr. Khalil Mahmoud ALASTAL

Hydroelectric Design

FE Exam Fluids Review October 23, Important Concepts

CE 6451 FLUID MECHANICS AND MACHINERY

Chapter 1 Fluid and their Properties

Buckingham s magical pi theorem

Transcription:

BUCKINGHAM PI THEOREM Dimensional Analysis It is used to determine the equation is right or wrong. The calculation is depends on the unit or dimensional conditions of the equations. For example; F=ma F=MLT -2 Unit : F=kg.m/s 1

Buckingham Pi Theorem If an equation involving k variables is dimensionally homogeneous, it can be reduced to a relationship among k r independent dimensionless products, where r is the minimum number of reference dimensions required to describe the variables. For example, the function of G can be written as ; G(π 1, π 2, π 3,., π k-r )=0 Or π 1 =G(π 2, π 3, π 4,., π k-r )=0 The dimensionless products are frequently referred to as pi terms, and the theorem is called the Buckingham Pi Theorem. Buckingham used the symbol П to represent a dimensionless product, and this notation is commonly used. 2

To summarize, the steps to be followed in performing a dimensional analysis using the method of repeating variables are as follows : Step 1 List all the variables that are involved in the problem. Step2 Express each of the variables in terms of basic dimensions. Step 3 Determine the required number of pi terms. Step 4 Select a number of repeating variables, where the number required is equal to the number of reference dimensions. (usually the same as the number of basic dimensions) Step 5 Form the pi term by multiplying one of the nonrepeating variables by the product of repeating variables each raised to an exponent that will make the combination dimensionless. Step 6 Repeat step 5 for each of the remaining nonrepeating variables. Step 7 Check all the resulting pi terms to make sure they are dimensionless. Step 8 Express the final form as a relationship among the pi terms and think about what it means. 3

Selection of Variables One of the most important, and difficult, steps in applying dimensional analysis to any given problem is the selection of the variables that are involved. For most engineering problems (including areas outside fluid mechanics), pertinent variables can be classified into three groups geometry, material properties and external effects. Geometry : The geometry characteristics can be usually be described by a series of lengths and angles. Example: length [L] Material properties : More relates to the kinematic properties of fluid particles. Example: velocity [LT -1 ] External effects : This terminology is used to denote any variable that produces, or tends to produce, a change in the system. For fluid mechanics, variables in this class would be related to pressure, velocities, or gravity. (combination of geometry and material properties) Example: force [MLT -2 ] 4

Common Dimensionless Groups in Fluid Mechanics 5

items Reynolds number Froude number Euler number Cauchy number Mach number Strouhal number Weber number Problems Flow in pipe. Flow of water around ship. Flow through rivers or open conduits. Pressure problems. Pressure difference between two points. Fluid compressibility. Fluid compressibility. Unsteady, oscillating flow. Interface between two fluid. Surface tension problems. 6

Modeling and Similitude Models are widely used in fluid mechanics. Major engineering projects involving structures, aircraft, ships, rivers, harbor, and so on, frequently involve the used of models. A model (engineering model) is a representation of a physical system that may be used to predict the behavior of the system in some desired respect. The physical system for which the predictions are to be made is called the prototype. Usually a model is smaller than the prototype. Therefore, it is more easily handled in the laboratory and less expensive to construct and operate than a large prototype. However, if the prototype is very small, it may be advantageous to have a model that is larger than a prototype so that it can be more easily studied. 7

8

9