基于模糊预测高速铣加工表面粗糙度研究及应用  

Research and application of high speed milling surface roughness based on fuzzy prediction

作　　者：金敦水[1] 董明帅 JIN Dun-shui;DONG Ming-shuai(Department of Mechanical and Electrical Engineering,Anhui Vocational College of Electronics&Information Technology,Anhui Bengbu 233000,China;Anhui Tiansipu Ultra Precision Mould Co.,Ltd.,Anhui Wuhu 241000,China)

机构地区：[1]安徽电子信息职业技术学院机电工程学院,安徽蚌埠233000 [2]安徽天思朴超精密模具有限公司,安徽芜湖241000

出　　处：《齐齐哈尔大学学报（自然科学版）》2022年第6期22-26,34,共6页Journal of Qiqihar University(Natural Science Edition)

基　　金：安徽省自然科学研究项目(KJ2020A1083,KJ2021A1486);安徽省高校优秀拔尖人才资助项目(gxbjZD2020124);安徽省教育厅质量工程项目(2021zdjgxm030,2021jyxm0107)。

摘　　要：对高速铣削的加工工艺参数进行研究,建立了数学计算模型,基于优属决策和优属度方法,提出了多目标系统模糊优选理论模型,构建了各因素之间的优属度向量关系,利用表面粗糙度和优属度向量和之间的相关性优化了模糊预测数学模型。通过实验数据和算法之间进行相互验证,研究结果表明建立的工件表面粗糙度预测模型能根据实际需求优选加工工艺参数。The machining process parameters of high-speed milling are studied,and the mathematical calculation model is established.Based on the optimal decision-making and optimal degree method,the fuzzy optimization theory of multi-objective system is proposed,and the optimal degree vector relationship among various factors is constructed.The fuzzy prediction mathematical model is optimized by using the correlation between the surface roughness and the optimal degree vector sum.Through the mutual verification between the experimental data and the algorithm,the research results show that the established workpiece surface roughness prediction model can optimize the processing parameters according to the actual needs.

关 键 词：多目标系统 模糊优选 工艺参数 优属度 

分 类 号：TH162[机械工程—机械制造及自动化] TG54[金属学及工艺—金属切削加工及机床]