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铣削7075铝合金表面粗糙度试验研究 被引量:10

Experimental Study on Surface Roughness of Milling 7075 Aluminum Alloy
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摘要 为进一步探究加工参数与7075铝合金表面粗糙度之间的变化关系。开展铣削7075铝合金表面粗糙度试验,基于单因素试验结果分析加工参数与表面粗糙度之间的影响规律,基于含有交互作用的正交试验结果,分析各加工因素最优参数水平,构建表面粗糙度二、三阶响应曲面预测模型。研究表明:表面粗糙度随着切削速度、进给量、切削深度的逐渐增加而增大;表面粗糙度各因素的最优参数水平为A2B1C1;对比分析F值、复相关系数,表面粗糙度三阶响应曲面预测模型优于二阶。确定的最优预测模型为深入研究加工参数与表面粗糙度之间变化关系奠定了理论基础。 To further explore the relationship between machining parameters and surface roughness of 7075 aluminum alloy.The surface roughness test of milling 7075 aluminum alloy was carried out,the influence rule between machining parameters and surface roughness were analyzed based on the single factor test results,the optimal parameter level of each machining factor was analyzed based on the orthogonal test results containing interaction,and the prediction model of the second and third order response surface of surface roughness was constructed.The results show that the surface roughness increases with the increase of cutting speed,feed and cutting depth;The optimal parameter level of each factor of surface roughness is A2B1C1;By comparing and analyzing F value and complex correlation coefficient,the prediction model of third-order surface roughness response surface is better than that of second-order.The determined optimal prediction model lays a theoretical foundation for further research on the relationship between machining parameters and surface roughness.
作者 毛玺 毛若鹏 冯丹侠 MAO Xi;MAO Ruo-peng;FENG Dan-xia(School of Mechatronics Engineering,Henan University of Science and Technology,Luoyang Henan 471003,China;Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing,Henan University of Science and Technology,Luoyang Henan 471003,China;Luoyang Keda Yuege CNC Machine Tool Co.,Ltd.,Luoyang Henan 471000,China;不详)
出处 《组合机床与自动化加工技术》 北大核心 2020年第5期146-149,共4页 Modular Machine Tool & Automatic Manufacturing Technique
基金 国家自然科学基金(51705135)。
关键词 铣削 表面粗糙度 方差分析 响应曲面法 milling surface roughness variance analysis response surface method
作者简介 毛玺(1962—),男,河南洛阳人,河南科技大学高级实验师,研究方向为机器人机构的设计与分析,E-mail:maoxi931208@126.com。
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