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作 者:余斌[1,2] 潘江如[1] 黄勇[1] 尹君驰[1]
机构地区:[1]新疆工程学院机械工程系,乌鲁木齐830023 [2]中国矿业大学机电学院,江苏徐州221116
出 处:《沈阳工业大学学报》2017年第1期34-37,共4页Journal of Shenyang University of Technology
基 金:新疆科技厅高技术研究发展计划资助项目(201413105);乌鲁木齐市科学技术计划资助项目(C151010004)
摘 要:为了提高小型精密零件在切削过程中的表面加工质量,以小型精密零件的表面粗糙度为目标函数,设计并实施了一系列小型精密零件的切削加工试验.采用单因素试验法分析了切削深度、切削速度及供给量等工艺参数对目标函数的影响,运用多元线性回归分析法建立切削工艺参数与目标函数的关系模型,从而获得最佳工艺参数组合并进行试验验证.结果表明,切削速度与切削深度对表面粗糙度为负向影响,供给量为正向影响,经优化参数组合加工工件的表面粗糙度均匀性较好,产品表面质量得到了较大改善.In order to improve the surface machining quality of small precision parts in the cutting process,the surface roughness of small precision parts was taken as the objective function,and a series of cutting experiments for small precision parts were designed and implemented.The influence of such processing parameters as cutting depth,cutting speed and supply quantity on the objective function was analyzed with the single factor test method.With the multiple linear regression analysis method,the relationship model between the cutting parameter and objective function was established so as to obtain the best combination of processing parameters,and the experimental verification was carried out.The results show that the cutting speed and cutting depth have negative effect on the surface roughness,while the supply quantity has positive effect.After the combined machining with the optimization parameters,the uniformity of surface roughness of workpieces is better,and the surface quality of products gets greatly improved.
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