飞机蒙皮侧壁铣切时域参数模型与粒子群优化  

Time-domain model and improved particle swarm optimization algorithm for aircraft skin side wall milling process

作　　者：章正伟[1] 傅云 许雪峰[3] ZHANG Zhengwei;FU Yun;XU Xuefeng(School of Aeronautics,Zhejiang Institute of Communications,Hangzhou 311112,China;Xizi Spirit Aerospace Industry(Zhejiang)Co.,Ltd.,Hangzhou 311222,China;Key Laboratory of Special Purpose Equipment and Advanced ProcessingTechnology,Ministry of Education&Zhejiang Province,Zhejiang University of Technology,Hangzhou 310023,China)

机构地区：[1]浙江交通职业技术学院航空学院,浙江杭州311112 [2]浙江西子势必锐航空工业有限公司,浙江杭州311222 [3]浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点试验室,浙江杭州310023

出　　处：《浙江工业大学学报》2022年第2期149-155,共7页Journal of Zhejiang University of Technology

基　　金：国家重点研发计划项目(2020YFB2010600);2017年度高校访问工程师“校企合作项目”(FG2017011);杭州市重大科技创新专项(20172011A043)。

摘　　要：飞机机翼蒙皮为薄壁件且涉及大量减薄工序,易引起刀具零件颤振,优化工艺参数可有效抑制颤振发生。通过精铣侧壁工序研究工步间均衡分配稳定轴向切深与转速的算法,抑制颤振并优化蒙皮减薄工序耗时。采用双自由度动力学模型描述小径向切深精铣侧壁工艺过程,以半离散方法求解时滞微分方程,得到有关转速和极限轴向切深稳定切削工艺叶瓣图。以转速、轴向切深为优化变量,以稳定切削叶瓣图、转速、进给和功率为约束条件,以精铣侧壁耗时最优为目标,通过高斯改进粒子群算法得到较优的切削参数组合。结合某型号机翼蒙皮精铣工艺现有刀具和径向加工余量等确定条件,导入叶瓣图粒子群混合算法计算,得到精铣侧壁切削工艺参数最优方案与耗时。Aircraft wing skin is a thin-walled part and involves a lot of thinning processes,which is easy to cause cutter-part flutter.Optimization of process parameters can effectively suppress flutter.The algorithm of balanced allocation of stable axial cutting depth and rotational speed between working steps is studied for the finishing milling side wall process to suppress chatter and optimize the time consumption of skin thinning process.A two-degree-of-freedom(DOF)dynamic model was used to describe the fine milling process of sidewall in small diameter cutting depth.The time-delay differential equations were solved by semi-discrete method,and the blade diagrams of stable cutting process with respect to rotational speed and limit axial cutting depth were obtained.Taking speed and axial cutting depth as optimization variables,taking stable cutting blade profile,speed,feed and power as constraint conditions,and taking the optimal side wall milling time as objective,a better cutting parameter combination was obtained by using Gaussian improved particle swarm optimization algorithm.Combined with the existing cutting tool and radial machining allowance of a certain type of wing skin finishing milling process,the optimal cutting process parameters of finishing milling side wall were obtained by introducing the blade graph-particle swarm optimization algorithm.

关 键 词：铣削稳定性 稳定性叶瓣图 粒子群算法 

分 类 号：TH162[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]