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| Application of Statistical Tool for Optimisation of Specific Cutting Energy and Surface Roughness on Surface Grinding of Al-SiC35p Composites.
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Source |
International Journal of Scientific and Statistical Computing (IJSSC) |
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Table of Contents |
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Complete Issue PDF(1.01MB) |
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Volume: 2 Issue: 1 |
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Pages: NULL |
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Publication
Date: July / August 2011 |
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ISSN
(Online): 2180-1339 |
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Pages |
16 - 27 |
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Author(s) |
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Published
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31-05-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Metal Matrix Composites, Specific Cutting Energy, Surface Roughness, ANOVA, Response Surface Methodology, Desirability Function |
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| Abstract: In this paper, the effects and the optimization of machining parameters on surface roughness and specific cutting energy during surface grinding of 6061Al-SiC35P composites under different process parameters such as Vol% of SiC, feed and depth of cut were investigated using response surface methodology (RSM). The specific cutting energy and surface roughness are considered as performance characteristics. Experiments are conducted using standard RSM design called Central composite design (CCD). A second order response model was developed for specific cutting energy and surface roughness. The results identify the significant influence factors to minimise the specific cutting energy and surface roughness. Derringer’s desirability function was then used for simultaneous optimization of specific cutting energy and surface roughness. The confirmation results demonstrate the practicability and effectiveness of the proposed approach. |
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| Dayanand Pai : Colleagues
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| Shreekantha Rao : Colleagues
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| Raviraj Shetty : Colleagues
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