摘要
借助MATLAB人工神经网络,对切削力预测进行了研究。通过比较快速BP算法和LM算法在网络训练时的收敛速度,确定了网络的结构和工具函数,并分析了影响切削力预测精度的因素,实现了切削力的精确预测。其研究结果为车削零件加工质量的物理仿真以及加工参数的优化选择提供了依据。
Turning force prediction was studied with the help of artificial neural network based on MATLAB. The structure of network and toolbox functions were determined by comparing convergence speed between rapid BP algorithm and LM algorithm, the factors of cutting force prediction error were analyzed and turning forces were predicted accurately. The work can be applied to physical simulation of machining quality and optimization of cutting parameters in turning.
出处
《机床与液压》
北大核心
2006年第1期4-5,14,共3页
Machine Tool & Hydraulics
基金
国家自然科学基金资助项目(50175081)
