摘要
采用DEFORM-3D软件对高速车削进行仿真,得出车削过程中的工艺数据;构建BP神经网络,利用遗传算法优化BP网络,对结果做出了精确预报,找到了模拟条件的最优值,节省了大量的时间以及人力物力,有利于了解车削机理和提高车削质量。
DEFORM-3D was used to simulate high-speed turning.The process data in cutting process were obtained.BP neural network was built and genetic algorithm was used to optimize the BP neural network.A precise prediction for actual results was made and the optimal values of the simulation conditions were found.A lot of time and manpower and materials are saved.Moreover,it is helpful for understanding cutting mechanism and improving cutting quality.
出处
《机床与液压》
北大核心
2012年第7期163-166,共4页
Machine Tool & Hydraulics
