中国机械工程2026，Vol.37Issue(3)：509-527,19.DOI:10.3969/j.issn.1004-132X.2026.03.001
难加工金属材料切削表面完整性预测与调控
Prediction and Conditioning of Surface Integrity for Cutting Difficult-to-machine Metallic Materials
摘要
Abstract
Machined surface integrity,a composite reflection of the geometric,physical,chemical,and mechanical properties of the machined surface layers,is dictated by the thermo-mechanics loads and material removal modes inherent to the cutting processes.This integrity directly governed the in-service performance and lifespan of engineered components.A thorough investigation into how conditioning strate-gies influenced surface integrity was therefore fundamental to realize high-integrity surfaces,and was criti-cally important for optimizing the machining of difficult-to-cut metallic materials.This review began by cat-egorizing the metrics of machined surface integrity for these materials based on three aspects:geometric fea-tures,microstructural evolution,and surface-layer mechanical properties,while also summarizing the ap-proaches for developing predictive models.Subsequently,it elucidated research advancements in machined surface integrity conditioning strategies of difficult-to-cut metallic materials,critically comparing the dis-tinct influence mechanisms of tool and process optimization,multi-energy field assisted machining,and workpiece pre-treatment on machined surface integrity.Finally,this paper explored the prediction accuracy of current models and the general applicability of conditioning strategies,offering an outlook on future re-search priorities.关键词
难加工金属/已加工表面完整性分类/表面完整性预测模型/表面完整性调控策略Key words
difficult-to-cut metal/classification of machined surface integrity/surface integrity predic-tion model/surface integrity control strategy分类
矿业与冶金引用本文复制引用
刘战强,赵永耀,王兵,赵金富,刘安南,姚龙旭..难加工金属材料切削表面完整性预测与调控[J].中国机械工程,2026,37(3):509-527,19.基金项目
国家自然科学基金(92360311) （92360311）
山东大学公共技术平台仪器设备能力提升项目(ts20230104) （ts20230104）
