刀具钝化切削参数与表面质量的相关分析  

The Correlation Analysis between Tool Preparation and Surface Quality

作　　者：李志成[1] 蒋代君[1] 刘克福[1] 游雷[1] 

机构地区：[1]西华大学机械工程与自动化学院,成都610039

出　　处：《组合机床与自动化加工技术》2013年第11期122-124,共3页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：四川省教育厅重点项目(09ZA116);西华大学人才基金;西华科学(2009)20号;西华大学开放实验室基金(S2JJ2011-015);四川省教育厅青年基金(09ZB085)

摘　　要：刀具经钝化处理可延长刀具使用寿命,提高工件表面质量,查阅相关文献表明,定量分析切削参数与工件表面粗糙度相关性的研究较少。为精确了解影响粗糙度的主次要因素,对切削实验数据运用夏皮罗——威尔克法进行正态性检验,并采用皮尔逊相关分析法进行统计分析,结果表明进给速度与表面粗糙度明显相关,相关系数为0.851,切削宽度、切削速度、切削深度与表面粗糙度无明显相关性。同时为了能较方便地对表面粗糙度进行预测,采用6种曲线估计建立了进给速度与表面粗糙度的回归数学模型,结果显示线性模型最为合适。Tool preparation can extend tool life and improve workpieces surface quality, while the quan- titative studies on the correlation between tool preparation cutting （TPC） parameters and parts surface roughness are less. To study the primary and secondary influencing factors on the roughness, the experi- mental data were analyzed using Shapiro-Wilk normality test and Pearson correlation analysis. The results show that the feed speed and the roughness significantly related, the correlation coefficient was 0. 851, cutting width, cutting speed, cutting depth has no significant correlation with surface roughness. And to predict the rough easily, the mathematical models were built by 6 curve estimations. It＇ s clear that the liner model fit well.

关 键 词：钝化处理 表面粗糙度 相关系数 数学模型 

分 类 号：TH16[机械工程—机械制造及自动化] TG501.2[金属学及工艺—金属切削加工及机床]