基于BP神经网络的外圆磨削淬硬试验研究  

Study on External Grind Hardening base on BP Neural Network

作　　者：马占龙[1] 韩正铜[1] 杨刚[1] 刘飞[1] 

机构地区：[1]中国矿业大学

出　　处：《工具技术》2009年第3期29-31,共3页Tool Engineering

基　　金：中国矿业大学科技基金资助项目(项目编号:2006B009);江苏高新技术项目(项目编号:JH03-001)

摘　　要：磨削淬硬是一种将磨削加工与表面淬火相集成的绿色加工工艺,具有显著的经济和社会效益。在外圆磨床上对40Cr钢进行磨削淬硬试验,观测并分析其磨削温度、表面硬度以及淬硬层深度等,最后利用试验数据建立其BP神经网络模型对其淬硬效果进行预测,通过预测结果与试验结果的对比表明该模型是有效可行的。Grind Hardening is a green processing technology that integrates grinding with surface hardening. It brings not only significant economic benefit, but also great social. The experiment of grinding 40Cr steel is taken in external cylindrical grinding machine. The grinding temperature, superficial hardness and hardened depth of the workpiece is measured and analyzed. At last, the BP Neural Network model of external grind hardening is built. It is proved that the model is effective and feasible through the comparison between the results of the prediction and experiment.

关 键 词：人工神经网络 外圆磨削 磨削淬硬 预测 

分 类 号：TG156.33[金属学及工艺—热处理] TV698.1[金属学及工艺—金属学]