宇航材料工艺2025，Vol.55Issue(3)：97-105,9.DOI:10.12044/j.issn.1007-2330.2025.03.013
硬质合金激光辅助切削刀具磨损预测研究
Research on Tool Wear Prediction of Laser-assisted Cutting of Cemented Carbide
摘要
Abstract
As a typical difficult-to-machine material,cemented carbide YG10 was prone to cause severe tool wear when common cutting method was used.In response to this problem,laser-assisted cutting method was proposed for machining.By comparing the tool wear conditions under the two machining methods of ordinary cutting and laser-assisted cutting,it was demonstrated that laser-assisted cutting could effectively reduce cutting force and tool wear.The support vector regression model(SVR)and cross-validation-support vector regression model(CV-SVR)were established,and the amount of flank wear under specific cutting conditions were predicted.The result shows that the prediction results of the two models have a small error with the actual values,in particular,the CV-SVR model has higher fitting accuracy,compared with the SVR model,the average relative error is reduces by about 10％.The CV-optimized SVR model can effectively simulate the nonlinear relationship in tool wear,and it can provide a basis for the judgment of tool wear in actual machining.关键词
硬质合金/激光辅助切削/刀具磨损预测Key words
Cemented carbide/Laser-assisted cutting/Tool wear prediction分类
矿业与冶金引用本文复制引用
魏攀,牛晶晶,霍衍浩,牛赢..硬质合金激光辅助切削刀具磨损预测研究[J].宇航材料工艺,2025,55(3):97-105,9.基金项目
河南省自然科学基金(202300410172) （202300410172）
河南省高校基本科研业务费专项资金资助(NSFRF230409) （NSFRF230409）
