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简介：

简介：Geometriccomputingisanimportanttoolindesignandmanufacturingandinarts.Conventionally,geometriccomputingistakenbyalgebraiccomputing.Thevividintuitionofobjectsinvisualizationislostinnumericfunctions,whichishoweververyusefultohumancognitionaswellasemotion.Inthispaper,weproposedaconceptandtheoryofgeometricbasis(GB)asthesolvingcellforgeometriccomputing.EachGBrepresentsabasicgeometricoperation.GBworksasbothexpressingandsolvingcelljustliketheconceptofbasisinlinearalgebrabywhicheveryelementofthevectorspacecanbeexpressed.For3Dproblems,withaprocedureofaprojectionsreduction,theproblemcanbereducedtoplaneandthereductionfunctioncanbedesignedasaGB.AsequenceofGBcanconstructahigherlayerGB.Then,bythetraversaloftree,asequenceofGBisgotandthissequenceisjusttheconstructionprocessandalsothesolutionofthisgeometricproblem.

简介：Reachabilityisakeycriterioninmaintenancedesign,andhumanarmisthemainobjectinreachabilityanalysis.Thehumanarm'sDOFisreduced,andapplyingmilitarystandardsandhumanphysiologicalconstraints,thesimplifiedarmmodelof7-DOFusingD-Hmethodisbuiltup.ParticleSwarmOptimization(PSO)isusedtoacquiretheshoulder,armandhandposturewithadaptivefitnessfunction.Adetailedreachabilityanalysisisaccomplishedfordisassemblingtheboltsfromcrankshaftisgivenasanexampletovalidatethefeasibilityofusingreachabilityanalysisonmaintenancedesign.

简介：Inflexiblejob-shopbatchschedulingproblem,theoptimallot-sizeofdifferentprocessisnotalwaysthesamebecauseofdifferentprocessingtimeandset-uptime.Evenforthesameprocessofthesameworkpiece,thechoiceofmachinealsoaffectstheoptimallot-size.Inaddition,differentchoicesoflot-sizebetweentheconstrainedprocesseswillimpactthemanufactureefficiency.Consideringthateachprocesshasitsownappropriatelot-size,weputforwardtheconceptofschedulingwithlot-splittingbasedonprocessandsetuptheschedulingmodeloflot-splittingtocriticalpathprocessasthecore.Themodelcouldupdatethesetofbatchprocessandmachineselectionstrategydynamicallytodetermineprocessingrouteandarrangeproperlot-sizefordifferentprocesses,toachievethepurposeofoptimizingthemakespanandreducingtheprocessingbatcheseffectively.Theexperimentresultsshowthat,comparingwithlot-splittingschedulingschemebasedonworkpiece,thismodeloptimizesthemakespanandimprovestheutilizationefficiencyofthemachine.Italsogreatlydecreasesthemachinedbatches(42%)andreducesthecomplexityofshopschedulingproductionmanagement.

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简介：

简介：Repetitioussimulationaftermodifyingparametersofmulti-domainphysicalsystembasedonModelicaoftenappearsinmodelexperimentandoptimizationdesign.Atpresent,thesolversbasedonModelicaneedcalculateallthecoupledblocksduringeverysimulationrunafterupdatingparameters.Basedondiscussingscaledecompositionmethodsofsimulationmodel,subdivisionsolvingstrategyandminimumsolvingstrategyareputforwardtoimprovetheefficiencyofrepetitioussimulation,bywhichthenumericalsolutionofthesimulationmodelcanbeachievedbyonlycalculatingthesolvingsequenceinfluencedbyalteredparameters.Asimplifiedmodelofaircraftisusedtodemonstratetheefficiencyofthestrategiespresented.

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