多學(xué)科優(yōu)化專(zhuān)題研討會(huì)解決方案

DrivingProductDrivingProductInnovationwithCAE:Stateofthekg/s，所需功率為542Wkg/s，所需功率為542W 3|Copyright2014-RedCedarTechnology:AllRightsAxialFanDucthasfixeddiameterof59Fanhubshapeandinnerradiusfixedat19kg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度 4kg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度 4|Copyright2014-RedCedarTechnology:AllRightsParametric3DSection Section SectionDesignSectionSectionSection4―Rotation500―350010―10―10―2.5―152.5―17.52.5―17.50.0―0.0―0.0―-0.5―+0.5-0.5―+0.5-0.5―+0.5Verticalkg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度kg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度 5|Copyright2014-RedCedarTechnology:AllRightsMeshMeshPolyhedralmeshwithbody-fittedprismaticMeshBaselinedesigncontains690,000SimulationSteadyMulti-ReferenceFrameSolverGridTurbulenceRealizableκ?εkg/s，所需功率為542Wkg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度 6|Copyright2014-RedCedarTechnology:AllRightsPowerProcess MassFlowRatekg/s，所需功率為kg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度 7|Copyright2014-RedCedarTechnology:AllRights10coresper8Usescost-effectivetokenkg/s，所需功率為542W葉片數(shù)量,kg/s，所需功率為542W葉片數(shù)量,轉(zhuǎn)動(dòng)速度HEEDS分析結(jié)果 8|Copyright2014-RedCedarTechnology:AllRightsPowerBaselinem=2.5kg/sp=542WOptimizedm=2.6kg/sp=242Wrriorftrnt葉片數(shù)量,轉(zhuǎn)動(dòng)速度 9|Copyright2014-RedCedarTechnology:AllRights工業(yè)風(fēng)機(jī)優(yōu)化設(shè)工業(yè)風(fēng)機(jī)優(yōu)化設(shè)挑戰(zhàn)2.5kg/s，所需功率為542葉片數(shù)量,轉(zhuǎn)動(dòng)速度Optimate+分析結(jié)果 10|Copyright2014-RedCedarTechnology:AllRightsSensitivity&RobustnessHEEDSHEEDS???目標(biāo)驅(qū)動(dòng)的優(yōu)化分Paretofront全自動(dòng)化的尋優(yōu)分??復(fù)雜過(guò)程自動(dòng)優(yōu)化分?更廣泛意義上多學(xué)科CAE問(wèn)題自動(dòng)優(yōu)化分OptimateandOptimateandOptimate&???????STAR-PTCCreoCATIAV53D-Optimate/Optimate+分析流Optimate/Optimate+分析流DesignSweep,Optimization,Robustness,BoundaryDesignparameters,geometrypartsReports,plots,scenesMinimum,ColumnsfromcsvfileInbatchInHEEDSAprimaryAprimaryfunction(F)tobeminimized(orLimittherangeofLimittherangeofacceptableConstrainthedesignFeasibleOptimalConstraintInfeasibleFeasibleNeighborhoodofLocalMinGlobalFeasibleNeighborhoodofLocalMinGlobalLocalAdesignx*isalocalminimumofFifisafeasibleandF(x*)<F(x)foranyxinafeasibleneighborhoodofGlobal?Adesignx*isaglobalminimumofFifx*isafeasibledesignandF(x*)<F(x)forallfeasibledesignsx需要變更的量(輸入DenotedasDefinethespanof需要變更的量(輸入DenotedasDefinethespanofthedesignspacetoN=R=N=R=N=R=N=R=N=R=N=R=N=R=N=R=N=R=MassflowrateStatictemperatureStaticpressureTotaltemperatureTotalpressureMachnumberFlowangles(modifies‘wind’CS)MassfractionsWallroughnessThermalscalars優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段–優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段–Method3:(CAD(w/optionalCAD優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段Method2STAR-CCM+中的3D-CAD參數(shù)化建模(woptionalCAD優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段–––優(yōu)化設(shè)計(jì)中的幾何幾何變更的手段–––Method#2STAR-CCM+中的3D-CAD參數(shù)化建模(woptionalCAD?????????2(Goal=1Maximumallowable(Goal=Easyto0MaximumallowableNormalizedaveragebestStandarddeviationofbest2(Goal=1Maximumallowable(Goal=Easyto0MaximumallowableNormalizedaveragebestStandarddeviationofbest推薦的Evaluation次最少評(píng)估次數(shù)NotlessthanNumber推薦的Evaluation次最少評(píng)估次數(shù)NotlessthanNumberofDesignNumberof1-51-DesignofDesignofExperimentsLatinHypercube2LevelFull3LevelFullOptimization優(yōu)化分??????Optimization優(yōu)化分?????????????ParetoParetoOptimumTrade-什么是帕累托優(yōu)化Pareto什么是帕累托優(yōu)化ParetorupperlefttlNewoptimizationquestion:FordragxwhatisthePaoptimizationysatisfythisconditionreferredtoasthenon-dominated如何進(jìn)行帕累托優(yōu)化分析ParetoOptimate+(archivesize如何進(jìn)行帕累托優(yōu)化分析ParetoOptimate+(archivesizeOptimatenowcompletesazeainIwantonmyParetoCycleCycleCycleRankRankRankParetofront–curvedefiningoptimumtrade-offrelationshipNon-dominated-nodesignthatisbetterinbothobjectivesexists生命科學(xué)油氣生命科學(xué)油氣能源娛樂(lè)設(shè)備電子響后視鏡位置:響后視鏡位置:(5),左右變化對(duì)20個(gè)后視鏡位置進(jìn)行設(shè)計(jì)掃描 CustomerSuccess:AerodynamicShapeMorphingImprovehatchbackperformance&fuelMinimizeaerodynamicdrag(forMaximizedownforceCustomerSuccess:AerodynamicShapeMorphingImprovehatchbackperformance&fuelMinimizeaerodynamicdrag(forMaximizedownforce(forroadMinimizeaerodynamicpitch(forBy7morphingcontrolpointschangingfrontandrearbumpers;rearwindow;spoiler;curvatureofwindshield,sidedoors,andfloor;andforehead8%reductioninaerodynamicdragBettertractionandstabilityMuchfasterturnIMundSurfaceTime Multi-objective ?射流速度底部射流角度射流寬度Jetson??射流速度底部射流角度射流寬度Jetson???8Velocity?–??–?–??–Optimate分析結(jié)果??旋流最小的最佳設(shè) ???QuadraticsumisminimizedforallOutlet TIVELowerUpper???QuadraticsumisminimizedforallOutlet TIVELowerUpperRotation-Translation--35.000-35.00085.00083.190Translation--4.000-4.0008.000-0.804FloorFloor??–Optimate+分析結(jié)果?–––評(píng)估120設(shè)計(jì)方案135hourson128?injection–設(shè)計(jì)變量噴嘴位