中国机械工程2026，Vol.37Issue(7)：1562-1571,10.DOI:10.3969/j.issn.1004-132X.2026.07.004
C60微量润滑铣削GH4169切削力预测及工艺参数优化
Prediction of Cutting Forces and Processing Parameter Optimization in C60 Minimum Quantity Lubrication Milling of GH4169
摘要
Abstract
Nickel-based superalloys were widely used in aerospace and other fields.However,signifi-cant challenges were in machining,including severe tool wear,poor surface integrity,and low processing efficiency,which could not be effectively mitigated by conventional lubrication techniques.To address these issues,C60 nanofluid cutting fluid was introduced to enhance lubrication at the tool-workpiece inter-faces,thereby reducing friction and suppressing heat accumulation.A novel cutting force modeling ap-proach was developed,incorporating the tribological properties and cooling effects of nanofluids.The model integrated oblique cutting theory,mirror heat source method,and Johnson-Cook constitutive equa-tion to calculate cutting forces.Experimental results demonstrate that the proposed model accurately quanti-fies the synergistic effects of friction reduction and cooling enhancement under nanofluid lubrication,achiev-ing an average prediction error of 6.73％for cutting forces.Notably,the cutting force peak is reduced by 19.6％under nanofluid lubrication compared to conventional cutting fluids.Furthermore,a multi-objective optimization strategy was proposed based on Pareto optimality and PSO.A comprehensive evalu-ation system was established considering machining efficiency and cutting forces.Optimization results show that the cutting force decreases by 5.7％,while machining efficiency increases by 36.33％after parameter optimization.关键词
C60/纳米流体/切削力预测/粒子群优化Key words
C60/nanofluid/cutting force prediction/particle swarm optimization(PSO)分类
矿业与冶金引用本文复制引用
潘志榕,孙浩,姚斌,蔡志钦,蓝启鑫,张金辉..C60微量润滑铣削GH4169切削力预测及工艺参数优化[J].中国机械工程,2026,37(7):1562-1571,10.基金项目
国家自然科学基金(52475070) （52475070）
中国航空发动机集团产学研合作项目(TC240Y010) （TC240Y010）
