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高强铝合金干式切削加工参数多目标优化 被引量:11

Multi-objective Optimization of Dry Cutting Parameters of High Strength Aluminum Alloy
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摘要 为了研究航空铝合金在绝对干式切削条件下的切削参数对表面质量的影响规律并据此选择合理的切削用量,采用正交试验法对7075-T6铝合金进行了车削试验并对试验数据进行处理,得到表面粗糙度、表面残余应力关于切削三要素的多元非线性回归模型。在此基础上,以表面去除率、表面残余应力和表面粗糙度为优化目标,切削三要素为优化对象,基于遗传算法进行多目标优化,并绘制出Pareto前沿。根据实际加工需求,从优化解集中选择最优工艺参数。结果表明:表面粗糙度和表面残余应力均与表面去除率成反比关系;进给量和切削速度是影响表面粗糙度和表面残余应力的主要参数;仅在进给量最小的状态下,切削深度的增加会产生较大的表面残余拉应力。 In order to study the influence rule of the cutting parameters on the surface quality of aerospace aluminum alloy under the condition of absolute dry cutting and select reasonable cutting parameters, the turning test of 7075-T6 aluminum alloy was carried out by using the orthogonal test method, and the multivariate nonlinear regression model of the surface roughness and surface residual stress related to cutting elements was obtained. On this basis, the surface removal rate, surface residual stress and surface roughness were taken as the optimization targets, and the cutting three elements were taken as the optimization objects, the multi-objective optimization was carried out based on genetic algorithm, and the Pareto frontier was drawn. The optimal process parameters were selected from the optimal solution according to the actual processing demand. The results show that the surface roughness and surface residual stress are inversely proportional to the surface removal rate;the feed and the cutting speed are the main parameters affecting the surface roughness and surface residual stress;the increase of cutting depth can result in greater surface residual tensile stress only under minimum feed state.
作者 张程焱 王立新 俎晓莉 张自军 ZHANG Chengyan;WANG Lixin;ZU Xiaoli;ZHANG Zijun(College of Mechanical Engineering,Anyang Institute of Technology,Anyang Henan 455000,China;Anyang Xinsheng Machine Tool Co.,Ltd.,Anyang Henan 455000,China)
出处 《机床与液压》 北大核心 2020年第19期74-78,共5页 Machine Tool & Hydraulics
基金 河南省重大科技专项(171100210300) 安阳市科技攻关项目 安阳工学院博士启动基金项目(BSJ2018003)。
关键词 航空铝合金 干式切削 回归模型 多目标优化 Aerospace aluminum alloy Dry cutting Regression model Multi-objective optimization
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