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Official PDF TranslationJournal of Central South University

Multi-objective optimization of grinding process parameters for improving gear machining precision

Authors: YOU Tong-fei; HAN Jiang; TIAN Xiao-qing; TANG Jian-ping; LU Yi-guo; LI Guang-hui; XIA Lian

DOI: 10.1007/s11771-025-5877-7Status: Verified Translated Edition
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Key Findings in This Report

• A multi-objective optimization model links grinding process parameters—cutting speed, feed rate, and cutting depth—to gear tooth surface, profile, and lead deviations. • Response surface methodology (RSM) enables efficient experimental design, yielding optimal process parameters for worm wheel gear grinding. • GRA-PCA, PSO, and GA-PSO all improve gear machining precision, but GA-PSO achieves superior results. • The findings provide a systematic route to meet ISO 1328-1:2013 grade 4–5 precision requirements for new energy vehicle gears.
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