含铝添加剂的珠光体灰口铸铁车削用刀具切削参数与磨损机理试验分析  

Experimental analysis on cutting parameter and wear mechanism oftool in turning of pearlitic gray cast iron with Al additives

作　　者：吴高阳 刘广军[1] 俞梓仪 WU Gao-yang;LIU Guang-jun;YU Zi-yi(School of Mechatronics Engineering,Tongji University,Shanghai 201804,China;SAIC Volkswagen Co.,Ltd.,Shanghai 201805,China)

机构地区：[1]同济大学机械与能源工程学院,上海201804 [2]上汽大众汽车有限公司,上海201805

出　　处：《机电工程》2020年第11期1340-1344,共5页Journal of Mechanical & Electrical Engineering

基　　金：国家自然科学基金资助项目(18ZR1441000);上海市自然科学基金资助项目(51875412)。

摘　　要：针对用涂层硬质合金刀具车削含铝添加剂的珠光体灰口铸铁的切削参数选取与刀具磨损问题,通过三因素三水平正交试验,首先研究了粗糙度与后刀面磨损量在不同切削参数组合下的演变规律;然后根据粗糙度均值与波动值的回归模型和磨损量的方差分析表,提出了兼顾加工效率、粗糙度、刀具寿命的切削参数优化模型,得到了指定工况下的最优切削参数;最后使用扫描电镜与能谱分析法,研究了使用优化参数切削的刀具后刀面磨损机理。研究结果表明:在相同的切削效率下,优化后的工件粗糙度波动幅度下降了60%,刀具磨损速度下降了35%;刀具后刀面粘接层会在切削中形成抗磨损氧化物。Aiming at the problem of cutting parameter selection and tool wear mechanism of cutting pearlitic gray cast iron with Al additives using coated carbide tool,through three factors and three levels orthogonal test,the evolution law of roughness and wear of tool flank under different cutting parameters was firstly studied.Then according to the regression model of the mean and fluctuation of the roughness and the ANOVA of tool wear,the cutting parameter optimization model that took into account machining efficiency,roughness and tool life were put forward.The best cutting parameters were gotten.Finally,the wear mechanism of the cutting tool flank was studied by using SEM and EDS.The results show that under the same cutting efficiency,the fluctuation of the optimized workpiece roughness decreases by 60%and the tool wear rate decreases by 35%.The adhesive layer forms wear-resistant oxides during cutting.

关 键 词：涂层硬质合金刀具 含铝添加剂的珠光体灰口铸铁 切削参数优化模型 后刀面粘接层 

分 类 号：TH117.1[机械工程—机械设计及理论] TG711[金属学及工艺—刀具与模具]