Modelling of abrasive flow machining process: a neural network approach

被引：79

作者：

Jain, RK

Jain, VK ^{[1
]}

Kalra, PK

机构：

[1] Indian Inst Technol, Dept Mech Engn, Kanpur 208016, Uttar Pradesh, India

[2] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India

来源：

WEAR | 1999年 / 231卷 / 02期

关键词：

surface roughness; abrasive flow machining; neural networks;

D O I：

10.1016/S0043-1648(99)00129-5

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A simple neural network model for abrasive flow machining process has been established. The effects of machining parameters on material removal rate and surface finish have been experimentally analysed. Based on this analysis, model inputs and outputs were chosen and off-line model training using back-propagation algorithm was carried out. Simulation results confirm the feasibility of this approach and show a good agreement with experimental and theoretical results for a wide range of machining conditions. Learning could remarkably be enhanced by training the network with noise injected inputs. (C) 1999 Published by Elsevier Science S.A. All rights reserved.

引用

页码：242 / 248

页数：7

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