statistical tolerance analysis

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Tolerance Analysis

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  • 6/22/2015 statisticaltoleranceanalysisbasics:RootSumSquare(RSS)|ProductDevelopmentNotebook

    http://www.pdnotebook.com/2010/06/statisticaltoleranceanalysisrootsumsquare/ 1/6

    ProductDevelopmentNotebook

    HOMEAboutArchivesContactpatentbarpracticeexamGD&TTraining

    statisticaltoleranceanalysisbasics:RootSumSquare(RSS)

    Ifyou'reinterestedinlearningabouttoleranceanalysis(whyelsewouldyoubehere?),youwoulddowelltocheckoutmypostonwhatIconsidertobethebestGD&Ttrainingever.

    ...InmylastpostonworstcasetoleranceanalysisIconcludedwiththefactthattheworstcasemethod,althoughextremelysafe,isalsoextremelyexpensive.

    Allowmetoelaborate,thenofferaresolutionintheformofstatisticaltoleranceanalysis.

    cost

    Aworstcasetoleranceanalysisisgreattomakesurethatyourpartswillalwaysfit,butifyou'reproducingmillionsofparts,ensuringeachandeveryoneworksisexpensiveand,undermostcircumstances,impractical.

    Considerthesetwoscenarios.

  • 6/22/2015 statisticaltoleranceanalysisbasics:RootSumSquare(RSS)|ProductDevelopmentNotebook

    http://www.pdnotebook.com/2010/06/statisticaltoleranceanalysisrootsumsquare/ 2/6

    1. Youmakeamillionparts,anditcostsyou$1.00perparttomakesurethateverysingleoneworks.2. Youmakeamillionparts,butdecidetogowithcheaper,lessaccurateparts.Nowyourcostis

    $0.99perpart,but1,000partswon'tfit.

    Inthefirst,scenario,yourcostis:

    $1.00/part*1,000,000parts=$1,000,000

    Inthesecondscenario,yourcostis:

    $0.99/part*1,000,000parts=$990,000,

    butyouhavetothrowawaythe1,000rejectswhichcost$0.99/part.Soyourtotalcostis:

    $990,000+1,000*$0.99=$990,990.Whichmeansyousave$9,010.

    Thoseactualnumbersaremakebelieve,butthelessonholdstrue:byproducinglessprecise(read:crappier)partsandthrowingsomeofthemaway,yousavemoney.

    Soldyet?Good.Nowlet'stakealookatthetheory.

    statisticaltoleranceanalysis:theory

    Thefirstthingyou'llwanttothinkofisthebellcurve.Youmayrecallthebellcurvebeingusedtoexplainthatsomeofyourclassmatesweresmart,someweredumb,butmostwereaboutaverage.

    Thesameprincipleholdstrueintoleranceanalysis.Thebellcurve(onlynowit'scalledthe"normaldistribution")statesthatwhenyoutakealotofmeasurements,beitoftestscoresorblockthicknesses,somemeasurementswillbelow,somehigh,andmostinthemiddle.

    Ofcourse,"justabout"and"most"doesn'thelpyougetthingsdone.Mathdoes,andthat'swherethenormaldistribution(andexcel...attachmentbelow)comein.

    sidebar:InitiallyIplannedondivingdeepintothemathofRSS,butHilemandoessuchagoodjobonthedetails,I'llstickwiththebroadstrokeshere.Ihighlysuggestprintingouthispostandsittingdowninaquietroom,it'stheonlywaytodigesttheheavystuff.

    thenormaldistributionand"defectspermillion"

    Usingthenormaldistribution,youcandeterminehowmanydefects(definedaspartsthatcomeinoutsideofallowabletolerances)willoccur.Thestandardunitofmeasureis"defectspermillion",sowe'llstickwiththat.

    Therearetwonumbersyouneedtocreateanormaldistribution,andtheyarerepresentedby(pronounced"mew")and(pronounced("sigma")

    isthemean,ameasureofthe"center"ofadistribution.isthestandarddeviation,ameasureofhowspreadoutadistributionis.Forexample,thenumbersets{0,10}and{5,5}bothhaveanaverageof5,butthe{0,10}setisspreadoutandthushasahigherstandarddeviation.

  • 6/22/2015 statisticaltoleranceanalysisbasics:RootSumSquare(RSS)|ProductDevelopmentNotebook

    http://www.pdnotebook.com/2010/06/statisticaltoleranceanalysisrootsumsquare/ 3/6

    Usingoneofourblocks(rememberthose?)asanexample...

    Let'ssayyoumeasurefiveblocksliketheoneabove(inpracticeit'sbesttomeasure30attheveryleast,butwe'llkeepitat5

    fortheexample)andgetthefollowingresults:

    x1=1.001"x2=0.995"x3=1.000"x4=1.001"x5=1.003"

    Theaverage()is1.000(andthestandarddeviation()is.003.Plugthoseintoanormaldistribution,andyourtolerancesbreakdownlikethis.(seethe'afterproduction'tabintheattachedexcelfileforformulas)

    Ifyourequiretheblockstobe1.000.003(1),theblockswillpassinspection68.27%ofthetime...317,311defectspermillion.

    Ifyourequiretheblockstobe1.000.006(2),theblockswillpassinspection95.45%ofthetime...45,500defectspermillion

    Ifyourequiretheblockstobe1.000.009(3),theblockswillpassinspection99.73%ofthetime...2,700defectspermillion

    andsoon.

    Usingthedataaboveyoucansaywithconfidence(assumingyoumeasuredenoughblocks!)thatifyouweretouseamillionblocks,allbut2700ofthemwouldcomeinbetween0.991and1.009.

    rootsumsquareandthestandarddeviation

    Ifyou'vefollowedthelogiccloselyyoumaynoticeacatch22.Ideally,youwanttodoatoleranceanalysisbeforeyougotoproduction,buthowcanyoudetermineorwithouthavingsamplestotest...whichyouwillonlygetafterproduction?

    Youmake(andstate...repeatedly)assumptions

    Thepartiseasy.Youjustassumethatthemeanwillbeequaltothenominal(inourcase,1.000).Thisisusuallyasolidassumptionandonlybeginstogetdiceywhenyoutalkaboutthenominalshifting(someliketoplanforupto1.5!)overthecourseofmillionsofcycles(perhapsduetotoolwear),butthatisanothertopic.

    For,aconservativeestimateisthatyourtolerancecanbeheldtoaqualityof3,meaningthatatoleranceof.005willyieldyouaof0.005/3=0.00167.

    Let'[email protected],youneedtoaddupthefiveblockstoget,andtakethesquarerootofthesumofthesquaresofthestandarddeviationofthetolerances

  • 6/22/2015 statisticaltoleranceanalysisbasics:RootSumSquare(RSS)|ProductDevelopmentNotebook

    http://www.pdnotebook.com/2010/06/statisticaltoleranceanalysisrootsumsquare/ 4/6

    (wordyIknow),whichlookslikethis...SQRT([.005/3]^2+[.005/3]^2+[.005/3]^2+[.005/3]^2+[.005/3]^2)...(youdivideby3becauseyouareassumingthatyourtolerancesrepresent3standarddeviations)

    That'saswordyasI'mgoingtogetonthemath(thepostisalreadylongerthani'dlike),youcanseeitworkingforyourselfinthe'beforeproduction'tabintheattachedexcelfileforformulas)

    Justremembertotreatthosenumberswiththerespectthattheydeserveandthatindustryacceptedassumptionsarenoreplacementforahearttoheart(andemailtrail)withyourmanufacturer.Tryingtopushamanufacturertoholdtolerancestheyaren'tcomfortablewithusadrainingandoftenfutileexercise.

    Thetolerancesdictatethedesign,nottheotherwayaround.

    update:Myseriesofpostsonworstcase,rootsumsquare,andmontecarlotoleranceanalysisstartedoffasjustabriefintroductiontothebasics.SincethenIhaveheardfromanumberofyouaskingforaclear,concise(everythingelseoutthereissoheavy),usableguidetoboththemathbehindtoleranceanalysisandrealworldexamplesofwhentouseit.I'mcurrentlyworkingonit,butwouldlovetohearwhatYOUwouldlikeoutofit.Letmeknowinthecommentsorcontactmethroughthesite.

    Relatedposts:

    1. statisticaltoleranceanalysisbasics:worstcasetoleranceanalysis2. statisticaltoleranceanalysisbasics:MonteCarloSimulation3. whentousenonlinearfiniteelementanalysis

    articlebychrisloughnane

    chrisisamechanicalengineer,patentagent,andprogrammerinaBostonareadesignconsultancyandhaswritten190articlesfortheProductDevelopmentNotebook.

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