基于神经网络的曲轴滚压校直专家系统研究  

Expert System for Crankshaft Rolling Based on Neural Network

作　　者：张锐[1] 胡荣强[1] 杨秀芝[2] 

机构地区：[1]武汉理工大学自动化学院,湖北武汉430070 [2]华中科技大学材料学院,湖北武汉430074

出　　处：《武汉理工大学学报（信息与管理工程版）》2010年第1期23-26,共4页Journal of Wuhan University of Technology：Information & Management Engineering

摘　　要：介绍了曲轴滚压强化及校直工艺,分析了滚压校直方式具有的优缺点,研究了利用BP神经网络建立关于校直输入输出数学模型的方法,建立了曲轴滚压校直专家推理系统,并将其应用到曲轴圆角滚压强化校直机床中,取得了较好的效果。The strengthening and rolling crankshaft alignment process was introduced. Advantages and disadvantages of the rolling - straightening technique were analyzed. The input and output mathematical model of the alignment method was established on the basis of BP neural network. A rolling expert alignment system was developed. The established expert system was applied to strengthen the crankshaft fillet rolling machine and good alignment results were achieved.

关 键 词：曲轴 BP神经网络 滚压校直 专家系统 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]