In response to the efficiency and quality issues of aviation engine manufacturing that traditional CNC machining pro-gramming 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 ob-tained through the proposed method is(395.398,0.0.170 2),with processing time and cost of 3.49 minutes and 81.96 yuan,re-spectively.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 sys-tem 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
Key words
feature recognition/optimization of cutting parameters/CNC machining/aircraft engines/typical parts/genetic al-gorithm
维普
万方数据