Chemical Engineering Journal Confidence control for query answerWord文档下载推荐.docx

Chemical Engineering Journal Confidence control for query answerWord文档下载推荐.docx

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ProcediaEngineering,Volume7,2010,Pages416-421

FanZhang,XinhongZhang,RuiLi

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Multi-ObjectOptimalDesignofRapidPrototypingBasedonUniformExperiment 

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XiaoyanLi

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Experimentofrapidprototyping（RP）isamulti-levelandmulti-factorproblemwithlongprocesscycle.Aspowder-basedRPmethod,threedimensionalprinting（3DP）,andselectivelasersintering（SLS）arethemostprominentRPmethodsfortheirflexibilityinmaterialselecting.Theresearchof3DPprocessshowsthatmuchexperimentsworkcanbegreatlydecreasedbythemethodofuniformdesignwithrestrictedmixturesforRPproducts'

performancetoitsformingmaterial.Then,accordingtobackwardregressionmethods,thebinomialandinversetermsnonlinearregressionequationsweresetupbystatisticanalysisandcomputation.Togetherwithevaluationfunctionmethod,multi-objectoptimizationmodelforperformanceofproductstothepowdermixtureswasdeveloped,andtheoptimizationproblemwassolvedbysoftwareMATLAB.Afterthat,theoptimumresultsweresolvedandtestedbyexperimentwiththesameconditionasbefore.Differencesbetweenthecalculationresultsandtestingresults,whichincludingproduct'

sdensity,compressionstrength,surfaceevaluation,anddeformationinthreedimensions,arelessthan10%,andhavethesameerrordirection.Uniformdesignmethodforregressionandoptimizationwasprovedtobeanexcellentmethodtoobtainoptimumresultsformulti-levelandmulti-factorexperimentsofRPandotherprocesswhichhavealongprocessingcycle.

ArticleOutline

Introduction

1.ExperimentDeviceandMaterials

1.1.Experimentdevice

1.2.Experimentmaterials

2.ExperimentProposalandResultAnalysis

2.1.Experimentproposal

2.2.Resultsanalysis

3.ExperimentOptimization

3.1.Multi-objectoptimization

3.2.Optimalsolutionandresulttestifying

4.ConclusionsandFutureWork

Acknowledgements

References

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393

Alogicprogrammingbasedapproachforon-linetrafficcontrol 

TransportationResearchPartC:

EmergingTechnologies,Volume14,Issue3,June2006,Pages175-189

GiovanniFelici,GiovanniRinaldi,AntonioSforza,KlausTruemper

Inthispaperwedescribeaneffectiveapproachtodesign,implement,andoperateatrafficcontrolsystembasedonlogicprogramming.Withthisapproachitispossibletoimplementveryflexiblecontrolstrategiesthatcanbeeasilydevelopedbytrafficengineersusingasimpledescriptionlanguage.Animportantfeatureofthesystemistheuseofaveryefficientlogicprogrammingsolver,theLeibnizSystem,whichiscapableofgeneratingfastsolutionalgorithmsforthedecisionproblemsassociatedwithtrafficsignalsetting.Amicro-simulatorhasbeendevelopedtoverifytheeffectivenessofthemethod.Itisacrucialtoolofanintegrateddevelopmentsystem,thatallowsonetodevelopcontrolstrategiesandtotestthembeforetheiron-fieldimplementation.Anapplicationtoarealcaseisdescribedandexperimentalresultsarepresented.

1.Introduction

2.Controlstrategy

2.1.Logicvariables,logicpredicates,logicStatements

2.2.Asimpleexampleofasignalsettingproblem

2.2.1.Targettime

3.Constructionofalogiccontrolstrategy

4.Developmentsystem

5.Arealapplication

5.1.Systemarchitecture

6.Resultsandconcludingremarks

Appendix.LogicprogrammingwiththeLeibnizsystem

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Inherentoccupationalhealthassessmentduringbasicengineeringstage 

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MimiH.Hassim,MarkkuHurme

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