Surface Roughness Prediction by Response Surface Methodology in Milling of Hybrid Aluminium Composites

被引：26

作者：

Premnath, A. Arun ^{[1
]}

Alwarsamy, T. ^{[2
]}

Abhinav, T. ^{[1
]}

Krishnakant, C. Adithya ^{[1
]}

机构：

[1] Srichandrasekharendra Saraswathi Vishwa Mahavidya, Dept Mech Engn, Kanchipuram 631561, Tamil Nadu, India

[2] Govt Coll Technol, Dept Mech Engn, Coimbatore 641031, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING | 2012年 / 38卷

关键词：

Surface roughness; hybrid composites; Response Surface Methodology; Face millingIntroduction; METAL-MATRIX COMPOSITES; TOOL WEAR; MACHINABILITY; PERFORMANCE; PARAMETERS; SYSTEM;

D O I：

10.1016/j.proeng.2012.06.094

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the present study, a Response Surface model (RSM) has been developed to predict the surface roughness during face milling of Hybrid composites. Experiments were carried out with tungsten carbide insert at various cutting speed, feed, and weight fraction of Alumina (Al2O3). Materials used for the present investigation are Al 6061-aluminum alloy reinforced with Al2O3 of size 45 microns and graphite (Gr) of an average size 60 microns, which are produced by stir casting route. Central composite face centered second order response surface methodology was employed to create a mathematical model and the adequacy of the model was verified using analysis of variance. Also a comparison has been done between the result obtained through response surface methodology and experimental values which indicates that the experimental values are very much close to the predicted values. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education

引用

页码：745 / 752

页数：8

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