机械零部件制造过程中的偏差检测及控制

中图分类号：TH161+.1 文献标志码：A 文章编号：2095-2945（2025）25-0153-04

Abstract：Inordertoefectivelycontrolmanufacturingdeviationsofmechanicalpartsandimprovemanufacturingaccuracy andqualitythestudyconductedin-depthdiscusionsonthecommongeometricshapedeviations，geometricpositiondeviations andassmblypositiondeviationsinmanufacturing.Intheresearch，thereverse tracingalgorithmwasusedtobuildadeviation transfernetworkmodeltoaccuratelyidentifytheerrorsourcesofvariousdeviations；withthehelpoftheweightedsemi-local centralityalgorithm，thekeynodesinthedeviationtransfernetworkweredeterminedbyintegratingindicatorssuchasnode strengthandbetwennesscentrality；usingaself-adjustingweightingmethod，dynamicallyadjustingnodeandpathweights accordingtomanufacturingealitiestocontrolerortransfer;Introduceaeal-timeonlinemonitoringandfedbacksystem，collect databyinstalingsensorsndusemachinelearningalgorithmstoanalyzeittoachievedynamicdeviationcontrol.Theresults showthatthisseriesofmethodscanaccuratelylocateerorsources，clarifykeynodes，reasonablyregulateerrortransmision paths，acuratelycollctandanalyzedatainaimelymanner，andautomaticallycorrectdeviations.Insummarythecollration ofmultiplemethodscanefectivelyimprovethelevelofdeviationdetectionandcontrolinthemanufacturingprocessof mechanicalpartsandoptimizethemanufacturingprocess.Withthedevelopmentoftechnology，itwillprovidemorepowerful support for the machinery manufacturing industry in the future.

Keywords：deviationdetection;mechanicalpartsmanufacturing;deviationcontrol;reversetraceabilityalgorithm；self-adjusting weighting

随着机械制造业的快速发展，机械零部件的制造精度和质量要求日益提高。（剩余5839字）