| 利用神经网络建立电火花加工工艺模型 |
| |
| 引用本文： | 楼乐明,李明辉,彭颖红. 利用神经网络建立电火花加工工艺模型[J]. 中国机械工程, 2001, 12(4): 408-411 |
| |
| 作者姓名： | 楼乐明 李明辉 彭颖红 |
| |
| 作者单位： | 上海交通大学 |
| |
| 基金项目： | 上海市科委青年启明星基金资助项目(96QF14006) |
| |
| 摘 要： | 以峰值电流、脉冲宽度、脉冲间隔、抬刀时间和加工时间为输入参数，以加工速度和表面粗糙度为输出参数，利用人工神经网络技术建立了电火花加工工艺模型。经过与实验数据的比较，认为该模型能精确地预测出给定条件下的加工速度和表面粗糙度，真实反映了机床的加工工艺规律。
|
| 关 键 词： | 电火花加工 神经网络 工艺模型 建模 |
| 文章编号： | 1004-132Ⅹ(2001)04-0408-04 |
ANN Based Modelting forEDM Process |
| |
| LOU Leming,Li Minghui,PENG Yinghong. ANN Based Modelting forEDM Process[J]. China Mechanical Engineering, 2001, 12(4): 408-411 |
| |
| Authors: | LOU Leming Li Minghui PENG Yinghong |
| |
| Abstract: | Electrical discharge machining(EDM) has been used widely in production. This paper presents a method of the process modeling through Artificial Neural Network. The peak current, pulse width, pulse interval, withdraw time and machining time are selected as the input parameters, whilst the material removal rate and the surface roughness are as output parameters. Verification experiments have been carried out to check the validity of the developed model. It is concluded that the proposed model provides accurate results for process, and fits the experimental results well. |
| |
| Keywords: | electrical discharge machining artificial neural network process modeling prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
