基于有限元仿真的Ti6A14V铣削过程参数建模与优化  

Parametric Modeling and Optimization of Ti6A14V Milling Process Based on Finite Element Simulation

作　　者：顾力溢 王保升 王志亮[1] GU Liyi;WANG Baosheng;WANG Zhiliang(School of Mechanical Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment,Nanjing 211167,China)

机构地区：[1]南京工程学院机械工程学院,江苏南京211167 [2]江苏省智能制造装备工程实验室,江苏南京211167

出　　处：《南京工程学院学报（自然科学版）》2023年第1期45-51,共7页Journal of Nanjing Institute of Technology(Natural Science Edition)

基　　金：江苏省高等学校基础科学(自然科学)重大项目(21KJA460011)。

摘　　要：为优化钛合金Ti6A14V铣削参数、提升铣削性能,基于有限元软件建立Ti6A14V的二维铣削仿真试验模型,研究控制参数铣削深度、铣削宽度、铣削速度、铣削进给速度对铣削力的影响;试验得到各控制参数对铣削力的作用大小以及各控制参数的最佳取值;以降低铣削能耗、提升金属表面去除效率为优化目标,构建铣削参数多目标优化模型,并基于NSGAⅡ算法对该优化模型进行求解,获得Pareto解下最佳铣削参数取值范围.本研究可为类似加工过程的优化提供借鉴.The selection of milling process parameters exerts an important impact on material removal rate and energy consumption.In order to explore the milling performance of Ti6A14V titanium alloy and optimize the milling parameters,an optimal combination was designed using an orthogonal test table.At the same time,a two-dimensional milling simulation model for Ti6A14V was established according to the finite element software.The influences of milling depth,milling width,milling speed,milling force and material removal rate under milling feed were investigated.With the milling depth,milling width,milling speed and milling feed as the optimization variables,a multi-objective optimization model was constructed based on the main objectives of milling energy consumption and material removal rate.NSGA-Ⅱmethod was used to solve the model,and the milling energy consumption and optimal milling parameters under Pareto solution were obtained.This study can provide insight into optimization process of similar kind.

关 键 词：铣削参数 有限元模拟 优化模型 遗传算法 

分 类 号：TG54[金属学及工艺—金属切削加工及机床]