Dimensional Analasys and Scaling Laws Ppt

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  • 7/28/2019 Dimensional Analasys and Scaling Laws Ppt

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    Sharath Chandra. J (2012H148035H)

    Sharabh Kochar (2012H148037H)

    K. Venkatesh (2012H148038H)

    M.E (Thermal Engineering)Department of Mechanical Engineering

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    2

    Dimensional Analysis Buckingham Pi Theorem.

    Determination of Pi Terms.

    Comments about Dimensional Analysis.

    Common Dimensionless Groups in Fluid Mechanics Correlation of Experimental Data.

    Modeling, Similitude

    Similitude Based on Governing Differential Equation.

    Scaling Laws

    Contents

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    A typical fluid mechanics problem in which experimentation is required, consider the

    steady flow of an incompressible Newtonian fluid through a long, smooth- walled,

    horizontal, circular pipe.

    An important characteristic of this system, which would be interest to an engineer

    designing a pipeline, is the pressure drop per unit length that develops along the pipe as

    a result of friction.

    The first step in the planning of an experiment to study this problem would be to

    decide on the factors, or variables, that will have an effect on the parameter under

    consideration.

    For e.g. Let us consider Pressure drop per unit length

    pl =f(D,,,V) PressuredropperunitlengthdependsonFOURvariables:

    spheresize(D);speed(V);fluiddensity();fluidviscosity

    Contd

    DimensionalAnalysis Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

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    Toperformtheexperimentsinameaningfuland systematicmanner,itwouldbe

    necessarytochangeoneof thevariable,suchasthevelocity,while holdingallother

    constant,andmeasurethecorrespondingpressuredrop.

    Difficultytodeterminethefunctionalrelationshipbetween thepressuredropand

    thevariousfactsthatinfluenceit.

    Fortunately,thereisamuchsimplerapproachtothe problemthatwilleliminatethe

    difficultiesdescribed above. Collectingthesevariablesintotwonon-dimensional

    combinationsofthevariables(calleddimensionless productordimensionlessgroups).

    Onlyonedependentandone independentvariable Easytosetupexperimentsto determinedependency

    Easytopresentresults(onegraph)

    Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

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    A fundamental question we must answer is how many dimensionless products are

    required to replace the original list of variables ?

    The answer to this question is supplied by the basic theorem of dimensional analysis that

    states

    I fanequationinvolvingkvariablesisdimensional ly homogeneous,i tcanbereduced

    toarelationshipamong k-rindependentdimensionlessproducts,whereristhe

    minimumnumberofreferencedimensionsrequiredto describethevariables.

    The above theorem is call edBucki ngham Pi Theorem, and the terms are calledNon-

    Dimensional Parametersafter being rearr anged as functions.

    Givenaphysicalprobleminwhichthedependentvariable isafunctionof (k-1)

    independentvariables.

    u1=f(u2,u3,.....,uk)

    Mathematically,wecanexpressthefunctionalrelationship inthe

    equivalentform

    g(u1,u2,u3,.....,uk)=0

    Wheregisanunspecifiedfunction,differentfromf . Contd

    BuckinghamPiTheorem Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

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    TheBuckinghamPitheoremstatesthat:

    Givenarelation amongk variablesoftheform

    g(u1,u2,u3,.....,uk)=0

    Thekvariablesmaybegroupedintok-rindependent dimensionless

    products,orterms,expressiblein functionalformby

    Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

    Thenumber r isusually,butnotalways, equal to the minimum numberof

    independent dimensions required to specify the dimensions of all the

    parameters. Usually the reference dimensions required to describe the

    variables willbethebasicdimensionsM,L,andTorF,L,andT.

    The theoremdoesnotpredict the functional formof .The functional

    relation among the independent dimensionless products must be

    determined experimentally.

    Thek-rdimensionlessproductstermsobtained

    fromtheprocedureareindependent.

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    Themethodwe most commonly use to determine the Pi terms iscalledthe METHOD of

    repeatingvariables.Eightstepslistedbelowoutlinearecommended procedurefordeterminingtheterms.

    Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

    Determinationof PiTerms

    Step1Listallthevariables.

    Step2Expresseachofthevariablesintermsof basicdimensions.Findthenumberof

    reference dimensions.

    Step3Determinetherequirednumberofpiterms.

    Step4SelectaK repeatingvariables, whereK = number ofreferencedimensions.

    Step5Formapitermbymultiplyingoneofthe non-repeatingvariablesbytheproduct

    ofthe repeatingvariables,eachraisedtoanexponentthat willmakethecombination

    dimensionless.

    Step6RepeatStep5foreachoftheremaining nonrepeatingvariables.

    Step7Checkalltheresultingpitermstomake suretheyaredimensionless.

    Step8Expressthefinalformasarelationship amongthepiterms

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    SelectionofVariables

    Oneofthemostimportant,anddifficult,stepsinapplying dimensionalanalysistoanygiven

    problemistheselection ofthevariablesthatareinvolved.

    Thereisnosimpleprocedurewherebythevariablecanbe easilyidentified.Generally,one

    mustrelyonagood understandingofthephenomenoninvolvedandthe governingphysical

    laws.

    Ifextraneousvariablesareincluded,thentoomanypi termsappearinthefinalsolution,and

    itmaybedifficult, timeconsuming,andexpensivetoeliminatethese experimentally.Ifimportantvariablesareomitted,thenanincorrectresult willbeobtained;andagain,this

    mayprovetobecostly anddifficulttoascertain.

    Mostengineeringproblemsinvolvecertainsimplifying assumptionsthathaveaninfluence

    onthevariablestobe considered.

    Usuallywewishtokeeptheproblemsassimpleas possible,perhapsevenifsomeaccuracy

    issacrificed.

    Contd

    Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

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    Asuitablebalancebetweensimplicityandaccuracyisan desirablegoal.

    Variablescanbeclassifiedintothreegeneralgroup:

    Geometry:lengthsandangles.

    MaterialProperties:relatetheexternaleffectsandthe responses.

    ExternalEffects:produce,ortendtoproduce,achange inthesystem.Suchas

    force,pressure,velocity,or gravity.

    Pointsshouldbeconsideredintheselectionofvariables:

    Considerothervariablesthatmaynotfallintoonethe threecategories.

    Forexample,timeandtimedependent variables.

    Besuretoincludeallquantitiesthatmaybeheld constant(e.g.,g).

    Makesurethatallvariablesareindependent.

    Dimensional Analysis

    Buckingham Pi

    Theorem

    Determination of Pi

    Terms

    Comments about

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics

    Modeling, Similitude

    Scaling Laws.

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    A list of variables that commonly arise in fluid mechanics and heat transfer

    problems. Possibletoprovidea physicalinterpretationto thedimensionlessgroups

    whichcanbehelpfulin assessingtheirinfluence inaparticularapplication.

    CommonDimensionlessGroups Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Correlation of

    Experimental Data.

    Modeling, Similitude

    Scaling Laws.

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    Dimensional analysis only provides the dimensionless groups describing the

    phenomenon,andnotthespecificrelationship betweenthegroups. Todeterminethis

    relationship,suitableexperimentaldatamustbe obtained. Thedegreeofdifficulty

    dependsonthenumberofpiterms.

    OnePiTerm

    ThefunctionalrelationshipforonePiterm.

    1=C ; whereCisaconstant. The value of the constant is to

    be determined by an experimental procedure

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Correlation of

    Experimental Data.

    Modeling, Similitude

    Scaling Laws.

    CorrelationofExperimentalData

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    Assume that thedrag,D,actingona sphericalparticle that falls very slowly througha

    viscousfluidisafunctionoftheparticlediameter, d,theparticlevelocity,V,andtheflui

    viscosity,.Determine, withtheaidthedimensionalanalysis,howthedragdependson

    the particlevelocity.

    FlowwithOnlyOnePiTerm Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Correlation of

    Experimental Data.

    Modeling, Similitude

    Scaling Laws.

    Thedrag

    D=f(d,V,)

    d=L =FL-2T

    V=LT-1

    D=F

    =ML-3

    D V

    D=CVd=CD

    Vd

    1=

    Foragivenparticleandfluids,thedragvaries

    directlywiththevelocity

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    ProblemswithTwoPiTerms

    1 = (2)thefunctionalrelationship amongthevariablescanthe bedeterminedbyvarying2and

    measuringthe correspondingvalueof1.

    Theempiricalequation relating2and1byusing astandardcurve-fitting technique.

    Anempiricalrelationshipis validovertherangeof2.

    Dangerousto extrapolate

    beyondvalidrange

    65

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Correlation of

    Experimental Data.

    Modeling, Similitude

    Scaling Laws.

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    1 = (2, 3)

    Familiescurveofcurves

    Todetermineasuitableempiricalequation

    relatingthethreepiterms.

    Toshowdatacorrelationsonsimplegraphs.

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Correlation of

    Experimental Data.

    Modeling, Similitude

    Scaling Laws.

    ProblemswithThreePiTerms

    M d l P

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    Modelvs.PrototypeWhat is a Model?

    Amodelisarepresentationofaphysicalsystemthatmay beusedtopredictthebehavior

    ofthesysteminsomedesiredrespect. Mathematicalorcomputermodelsmayalsoconform

    tothis definition,ourinterestwillbeinphysicalmodel.

    What is a Prototype?Thephysicalsystemforwhichthepredictionaretobe made.

    Modelsthatresembletheprototypebutaregenerallyofadifferent size,mayinvolve

    differentfluid,andoftenoperateunderdifferent conditions.

    Usuallyamodelissmallerthantheprototype. Occasionally,iftheprototypeisverysmall,itmaybeadvantageous tohaveamodelthatislargerthantheprototypesothatitcanb

    moreeasilystudied.Forexample,largemodelshavebeenusedto studythemotionofRBCs.

    Withthesuccessfuldevelopmentofavalidmodel,itispossibleto predictthe

    behavioroftheprototypeunderacertainsetof conditions.

    Thereisaninherentdangerintheuseofmodelsinthatpredictions canbemade

    thatareinerrorandtheerrornotdetecteduntilthe prototypeisfoundnottoperformas

    predicted.

    Itisimperativethatthemodelbeproperlydesignedandtestedand thatthe

    resultsbeinterpretedcorrectly.

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

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    SimilarityofModelandPrototypeWhatconditionsmustbemettoensurethesimilarityofmodeland prototype?

    GeometricSimilarityModelandprototypehavesameshape.

    Lineardimensionsonmodelandprototypecorrespondwithin constantscale

    factor.

    KinematicSimilarity

    Velocitiesatcorrespondingpointsonmodelandprototypediffer onlybya

    constantscalefactor.DynamicSimilarity

    Forcesonmodelandprototypedifferonlybyaconstantscale factor.

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws. `

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    Theratioofamodelvariabletothecorresponding prototypevariableiscalledthe

    scaleforthatvariable.

    LengthScale

    VelocityScale

    DensityScale

    ViscosityScale

    ModelScales

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

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    Di i l A l i

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    Consider a problem from the field of conduction heat transfer.

    Plate plunged at t=0 into a highly conducting fluid such that at surface

    Suppose that we are interested in estimating the time needed by the thermal front to

    penetrate the plate, the time until the center of the plate feels the heating imposed

    on the outer surface.

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Anal sis

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    Estimate the order of magnitude of each of the term

    appearing on LHS

    On RHS

    Equating the two orders of magnitude

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Analysis

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    Rule 1 . Always define the spatial extent of the region in which you

    perform the scale analysis. Size of the region of interest is D/2

    Rule 2. one equation constitutes an equivalence between the scales of two

    dominant terms appearing in the equation .

    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Analysis

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    Dimensional Analysis

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Analysis

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    e s o a a ys s

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Analysis

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    Nature offers us clear sign that the phenomenon of transition is

    associated with a fundamental property of fluid flow.

    Laminar flow is characterized by a critical number that serveas a landmark for laminarturbulent transition.

    SCALING LAWS OF TRANSITIONy

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

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    Ob i Dimensional Analysis

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    1. Cigarette smoke plume is in one plane.

    2. The meander is most visible from the special viewing direction that happens

    to be perpendicular to the plane of meander.

    3. This observation is important because it contradicts the belief that the

    transitional shape of the buoyant jet is spiral. Batchelor and Gill postulated the

    existence of helical, not plane sinusoidal disturbances.

    Observations Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    The flow appears to have the natural property to meander with a characteristic

    wave length during transition, regardless of the nature of the disturbing agent.

    This observation is important because it it illustrates the conflict between

    hydrodynamic stability thinking, to which the postulate of disturbances is a

    necessity

    Dimensional Analysis

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    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

    Dimensional Analysis

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    "L'ignoranza accecante ci inganna.

    O! Miseri mortali, aprite gli occhi!

    its a Leonardo da Vinci quote but i am curious as to what it would

    be in correct Italian

    Again, the quote is "Blinding ignorance does mislead us. O!

    Wretched mortals, open your eyes!`

    Common Dimensionless Groups

    in Fluid Mechanics and Heat

    Transfer

    Modeling, Similitude

    Scaling Laws.

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