基于切削参数优化的航空发动机典型零件数控自动编程系统  

Cutting Parameter Optimization-Based Numerical Control Automatic Programming System for Common Aircraft Engine Parts

作　　者：韩素桃 HAN Sutao(Hebei college of industy and technology xuangang branch,zhangjiakou hebei 075100,China)

机构地区：[1]河北工业职业技术大学宣钢分院,河北张家口075100

出　　处：《自动化与仪器仪表》2024年第6期108-113,共6页Automation & Instrumentation

基　　金：河北人力资源和社会保障厅立项的课题《面向智能制造数控专业技工人才培养模式探索》(JRSHZ-2023-02194)。

摘　　要：针对传统数控加工编程方式无法满足航空发动机制造的效率与质量问题,研究在扩展属性邻接图的基础上设计了新型特征识别算法,并通过遗传算法优化切削参数,最后建立数控自动编程系统。研究结果显示,新型特征识别算法在各项特征的准确率均在95%以上;通过研究提出的方法得到最优解为(395.398,0.0.170 2),加工工时与成本分别为3.49 min与81.96元。通过数控自动编程系统的2个零件平均每行代码的生成时间均在0.9 ms内,CPU与内存占用率分别为20%~35%与115 M。综上所述,研究提出的数控自动编程系统不仅具有更高的加工效率与质量,还能减少加工过程的成本,在实际应用中具有优秀的效果。In response to the efficiency and quality issues of aviation engine manufacturing that traditional CNC machining programming methods cannot meet,a new feature recognition algorithm was designed based on the extended attribute adjacency graph,and cutting parameters were optimized through genetic algorithm.Finally,a CNC automatic programming system was established.The research results show that the new feature recognition algorithm has an accuracy of over 95%in all features;the optimal solution obtained through the proposed method is(395.398,0.0.1702),with processing time and cost of 3.49 minutes and 81.96 yuan,respectively.The average generation time of each line of code for the two parts in the CNC automatic programming system is within 0.9ms,with CPU and memory usage rates of 20%-35%and 115M,respectively.In summary,the CNC automatic programming system proposed in the study not only has higher machining efficiency and quality,but also reduces the cost of the machining process,and has excellent results in practical applications.

关 键 词：特征识别 切削参数优化 数控加工 航空发动机 典型零件 遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]