Automated process parameters tuning for an injection moulding machine with soft computing-中国期刊网

摘要 Ininjectionmouldingproduction,thetuningoftheprocessparametersisachallengingjob,whichreliesheavilyontheexperienceofskilledoperators.Inthispaper,takingintoconsiderationoperatorassessmentduringmouldingtrials,anovelintelligentmodelforautomatedtuningofprocessparametersisproposed.Thisconsistsofcasebasedreasoning(CBR),empiricalmodel(EM),andfuzzylogic(FL)methods.CBRandEMareusedtoimitaterecallandintuitivethoughtsofskilledoperators,respectively,whileFLisadoptedtosimulatetheskilledoperatoroptimizationthoughts.First,CBRisusedtosetuptheinitialprocessparameters.IfCBRfails,EMisemployedtocalculatetheinitialparameters.Next,amouldingtrialisperformedusingtheinitialparameters.ThenFLisadoptedtooptimizetheseparametersandcorrectdefectsrepeatedlyuntilthemouldedpartisfoundtobesatisfactory.Basedontheabovemethodologies,intelligentsoftwarewasdevelopedandembeddedinthecontrollerofaninjectionmouldingmachine.Experimentalresultsshowthattheintelligentsoftwarecanbeeffectivelyusedinpracticalproduction,anditgreatlyreducesthedependenceontheexperienceoftheoperators.

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Automated process parameters tuning for an injection moulding machine with soft computing

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Automated process parameters tuning for an injection moulding machine with soft computing

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