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作 者:武煜航 张华[3,4] 鄢威[3,5] WU Yuhang;ZHANG Hua;YAN Wei(Key Laboratory of Mechanical Transmission and Manufacturing Engineering of Hubei Province,Wuhan University of Science and Technology,Wuhan 430081,CHN;Key Laboratory of Metallurgical Equipment and Control Technology,Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,CHN;Academy of Green Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081,CHN;Precision Manufacturing Institute,Wuhan University of Science and Technology,Wuhan 430081,CHN;School of Automotive and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430081,CHN)
机构地区:[1]机械传动与制造工程湖北省重点实验室(武汉科技大学),湖北武汉430081 [2]冶金装备及其控制教育部重点实验室(武汉科技大学),湖北武汉430081 [3]武汉科技大学绿色制造工程研究院,湖北武汉430081 [4]武汉科技大学精密制造研究院,湖北武汉430081 [5]武汉科技大学汽车与交通工程学院,湖北武汉430081
出 处:《制造技术与机床》2022年第7期101-108,共8页Manufacturing Technology & Machine Tool
基 金:国家自然科学基金面上项目“多源离/在线能耗数据混合驱动的数控加工系统能效集成优化”(51975432);国家自然科学基金“机械加工制造系统固有能效属性及其优化创建方法研究”(51775392)。
摘 要:为了实现数控加工系统的绿色制造,提出了一种面向低能耗高质量的数控加工参数优化方法。首先对数控加工系统能耗子系统在不同工作状态下的能量消耗特性进行分析;然后以低能耗和低表面粗糙度为目标,选择铣削速度和进给量为优化变量,建立了铣削加工系统多目标优化模型,使用NSGA-Ⅱ遗传算法实现多目标优化求解,并利用Topsis法从等价解中决策出最符合加工需求的参数方案。最后以某汽缸端面加工案例验证了优化模型的有效性,并通过对优化结果进行解析,进一步阐述了优化模型的可行性。In order to realise the green manufacturing of CNC machining system,a CNC machining parameter optimisation method oriented to low energy consumption and high quality is proposed.Firstly,the energy consumption characteristics of the CNC machining system and its subsystems under different operating conditions are analysed;then,with low energy consumption and low surface roughness as the objectives,the milling speed and feed amount are selected as the variables,a multi-objective optimisation model of the milling machining system is established,and the NSGA-II genetic algorithm is employed to solve the proposed model,then the most suitable machining parameters are decided from the equivalent solutions using the Topsis method.Finally,the validity of the proposed approach is verified with a cylinder stator endface machining case,and the feasibility of the optimisation model is further illustrated by the analysis of the results.
分 类 号:TG501.2[金属学及工艺—金属切削加工及机床] TG506.9
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