For efficient and precise CNC machining of typical parts of aircraft engines.The study first utilized a graph sampling aggregation network for CNC machining feature recognition,and designed a mapping relationship between machining features and ma-chining rules.Then,combined with genetic algorithm,a cutting parameter optimization model was established,and finally a new type of typical aviation engine parts CNC system was designed.The experimental results show that the recognition accuracy of the system reaches 96.5％,and the average scores of system interface,system operability,and system controllability are 88.5,85.3,and 84.6,respectively.In summary,the system has achieved accurate feature recognition and optimized processing,improved production effi-ciency and product quality,and its comprehensive performance has been recognized by multiple experts.
关键词
特征识别/参数优化/航空发动机/数控系统
Key words
feature recognition/optimization/aircraft engine/CNC system
维普
万方数据