Prediction of wear and surface roughness in electro-discharge diamond grinding

被引：63

作者：

Kumar, Sanjeev ^{[1
]}

Choudhury, S. K. ^{[1
]}

机构：

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

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2007年 / 191卷 / 1-3期

关键词：

electro-discharge diamond grinding; DOE; artificial neural network;

D O I：

10.1016/j.jmatprotec.2007.03.032

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The present work focuses on prediction of wheel wear and surface roughness using two techniques, namely design of experiments and neural network. Effect of process parameters, such as pulse current, duty ratio, wheel speed and grain size on output responses, namely, wheel wear and surface roughness of high speed steel (HSS) were investigated experimentally. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：206 / 209

页数：4

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