基于差分进化算法的数控机床进给系统加速试验优化模型  

Research on the Optimization Model of Acceleration Test of CNC Machine Tool Feeding System Based on Differential Evolutionary Algorithm

作　　者：金涛 JIN Tao(Linyi Technician Institute,Linyi 276000,China)

机构地区：[1]临沂市技师学院,山东临沂276000

出　　处：《农机使用与维修》2024年第5期88-90,共3页Agricultural Machinery Using & Maintenance

摘　　要：为了进一步提高数控机床进给系统工作性能及效率,该研究引入差分进化算法,基于差分进化算法的原理和应用流程,自动寻找最佳的参数配置,提高加速过程的效率。通过差分进化算法的迭代优化,寻找最佳的参数组合,以实现更快速、更平稳的加速过程。模型运行试验结果表明,优化后的数控机床进给系统在加速阶段具有更高的性能和更短的加速时间。研究结果能对提高数控机床的加工效率和性能提供有力支持,对于制造业具有重要的实际应用意义。In order to further improve the working performance and efficiency of the touch machine tool feeding system,this study introduces the differential evolution algorithm,which is based on the principle and application process of the differential evolution algorithm to automatically find the optimal parameter configurations and improve the efficiency of the acceleration process.Through the iterative optimization of the differential evolution algorithm,the best parameter combination is searched for to achieve a faster and smoother acceleration process.The model running test results show that the optimized CNC machine feed system has higher performance and shorter acceleration time in the acceleration phase.The results can provide a strong support for improving the machining efficiency and performance of CNC machine tools,which is of great practical application significance for the manufacturing industry.

关 键 词：数控机床 进给系统 加速性能 差分进化算法 优化 加速时间 

分 类 号：TH16[机械工程—机械制造及自动化]