基于WOA-Kriging算法的钛合金切削力预测数学模型研究  

Cutting force prediction mathematical model of titanium alloy based on WOA-Kriging algorithm

作　　者：向莹[1] 张祺 XIANG Ying;ZHANG Qi(Cultural Foundation Department,Changzhou Vocational Institute of Mechatronic Technology,Changzhou 213164,China;School of Intelligent Manufacturing,Panzhihua University,Panzhihua 617000,China)

机构地区：[1]常州机电职业技术学院文化基础部,江苏常州213164 [2]攀枝花学院智能制造学院,四川攀枝花617000

出　　处：《机电工程》2020年第7期789-794,共6页Journal of Mechanical & Electrical Engineering

基　　金：四川省科技支撑计划项目(2013JYZ009);四川省教育厅科研项目(16ZA0407)。

摘　　要：针对钛合金难加工且质量和效率不高的问题,提出了一种基于鲸鱼优化算法的Kriging模型建模方法。建立了其参数优化的数学模型,提高了其加工质量和效率,通过鲸鱼优化算优化了传统Kriging模型变异函数的参数,提高了Kriging模型的建模精度;采用正交实验设计方法,对TC4钛合金铣削加工进行了样本点采集,得到了包含设计变量和性能响应的16个样本点;采用WOA-Kriging代理模型技术,建立了钛合金加工工艺参数与切削力之间的近似模型,并与传统的Kriging代理模型技术进行了比较。研究结果表明:采用基于鲸鱼优化算法的Kriging模型建立的钛合金加工工艺参数与切削力之间的近似模型精度更高,能够为其加工工艺参数优化提供更加精确的数学模型。Aiming at the difficult processing of titanium alloy and its quality and efficiency are not high,a Kriging model modeling method based on whale optimization algorithm was proposed.The variation function parameters of the traditional Kriging model to improve the modeling accuracy of the Kriging model was optimized,the mathematical model of parameter optimization was established to improve the machining quality and efficiency.Using the orthogonal experimental design method,the sample points of TC4 titanium alloy milling were collected,and 16 sample points including design varialles and preformance response were obtained.The approximate model of the processing parameters and the cutting force for titanium alloy was obtained based on the WOA-Kriging surrogate model,and was compared with the traditional Kriging surrogate model.The results show that the approximate model accuracy established by the Kriging model based on whales optimization algorithm is higher than the traditional Kriging surrogate model,which can provide more accurate mathematical model for its processing parameters optimization.

关 键 词：钛合金 加工工艺参数 代理模型 鲸鱼优化算法 数字仿真 

分 类 号：TH163[机械工程—机械制造及自动化] TP301.6[自动化与计算机技术—计算机系统结构]