Multi Objective Optimization of Multi Wall Carbon Nanotube Based Nanogrinding Wheel Using Grey Relational and Regression Analysis

被引：2

作者：

Prabhu S. ^{[1
]}

Vinayagam B.K. ^{[1
]}

机构：

[1] SRM University, Chennai, 603203, Tamil Nadu

来源：

Journal of The Institution of Engineers (India): Series C | 2016年 / 97卷 / 3期

关键词：

CNT grinding wheel; Grey relational analysis; Grinding process; Metal removal rate; Multi-wall carbon nanotube; Regression analysis;

D O I：

10.1007/s40032-016-0238-9

中图分类号：

学科分类号：

摘要：

Carbon nanotube mixed grinding wheel is used in the grinding process to analyze the surface characteristics of AISI D2 tool steel material. Till now no work has been carried out using carbon nanotube based grinding wheel. Carbon nanotube based grinding wheel has excellent thermal conductivity and good mechanical properties which are used to improve the surface finish of the workpiece. In the present study, the multi response optimization of process parameters like surface roughness and metal removal rate of grinding process of single wall carbon nanotube (CNT) in mixed cutting fluids is undertaken using orthogonal array with grey relational analysis. Experiments are performed with designated grinding conditions obtained using the L9 orthogonal array. Based on the results of the grey relational analysis, a set of optimum grinding parameters is obtained. Using the analysis of variance approach the significant machining parameters are found. Empirical model for the prediction of output parameters has been developed using regression analysis and the results are compared empirically, for conditions of with and without CNT grinding wheel in grinding process. © 2016, The Institution of Engineers (India).

引用

页码：407 / 416

页数：9

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