摘要
为合理选择EA4T材料在深孔加工中的切削参数,以改变EA4T空心车轴在深孔加工中加工难度高、生产效率低的问题,在深孔加工钻削力学模型的基础上,将约束函数和单优化目标函数与遗传算法相结合,建立合理的优化结构。充分考虑深孔钻削中切削形态和排屑的重要作用,引入切屑的断屑率CBR和切屑的容屑系数R,在试切实验基础上综合考虑加工要求、效率和成本等因素,对优化组合结果进行了评估和适当的修正,得到较为合理、但有较高实用价值的切削用量优化参数。
This paper is aimed at the reasonable selection of cutting parameters of EA4 T material in deep hole processing to change the EA4 T hollow axle machining problem,such as high processing difficulty and low production efficiency. Based on the drilling mechanical model of the deep hole processing,constraint function and single optimization objective function was combined with genetic algorithm to establish a reasonable optimization structure. In addition,taking full consideration the important role of cutting form and chip removal in the deep hole drilling,chip breaker rate CBR and gullet-tochip area ratio R were introduced. On the basis of the trial cutting experiment,the result of the optimum combination were evaluated and appropriately corrected,after considering processing requirements,efficiency,cost and other factors. The cutting parameter optimization parameters obtained is not the most optimal solution,but a more reasonable one.
出处
《工具技术》
北大核心
2016年第11期92-95,共4页
Tool Engineering
关键词
EA4T
深孔加工
遗传算法
切削用量
断屑率
容屑系数
EA4T
deep hole
genetic algorithm
cutting parameter
chip breaker rate
gullet-to-chip area ratio
