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作 者:于浩 赵军[1,2] 盖少磊[3] 孙哲飞[1,2] YU Hao;ZHAO Jun;GAI Shao-lei;SUN Zhe-fei(Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE,School of Mechanical Engineering,Shandong University,Jinan 250061,China;National Demonstration Center for Experimental Mechanical Engineering Education(Shandong University),Jinan 250061,China;不详)
机构地区:[1]山东大学机械工程学院高效洁净机械制造教育部重点实验室,济南250061 [2]机械工程国家级实验教学示范中心(山东大学),济南250061 [3]滨州渤海活塞有限公司,山东滨州256602
出 处:《组合机床与自动化加工技术》2021年第7期137-140,共4页Modular Machine Tool & Automatic Manufacturing Technique
基 金:山东省重大科技创新工程项目(2019JZZY010114)。
摘 要:为了探究42CrMo钢车削表面完整性评价指标与切削参数之间的关系,采用正交试验法对42CrMo钢进行精车加工,分析了切削参数对表面粗糙度、残余应力和加工硬化的影响规律,并采用多元线性回归法构建了表面完整性各项指标的预测模型。结果表明:切削参数对表面完整性的影响主次顺序为:表面粗糙度:f>v>a_(p);表面残余应力:v>f>a_(p);表面加工硬化程度:v>f>a_(p)。表面粗糙度随进给量的增大而显著增大;表面残余应力随切削速度和进给量的增大而显著增大;表面加工硬化程度随切削速度和进给量的增大而增大。表面粗糙度和表面残余应力的预测模型具有高度显著性和较好的拟合优度。In order to explore the relationship between turning surface integrity evaluation index of 42CrMo steel and cutting parameters.The orthogonal experiment method was used for finish turning 42CrMo steel,the influence law of cutting parameters on surface roughness,residual stress and work hardening was analyzed,and multiple linear regression method was used to construct the prediction model for various indicators of surface integrity.The results show that the order in which cutting parameters affect surface integrity is as follows,surface roughness:f>v>a_(p),surface residual stress:v>f>a_(p),surface work hardening degree:v>f>a_(p)。The surface roughness increases significantly with the increase of feed rate,the surface residual stress increases significantly with the increase of cutting speed and feed rate,and the surface work hardening degree increases with the increase of cutting speed and feed rate.The prediction model of surface roughness and surface residual stress has high significance and good goodness of fit.
关 键 词:42CRMO钢 精车 正交试验 表面完整性 切削参数
分 类 号:TH162[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]
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