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Growing Science » International Journal of Industrial Engineering Computations » Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 3 pp. 511-518 , 2012

Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach Pages 511-518 Right click to download the paper Download PDF

Authors: R. Arokiadass, K Palaniradja, N Alagumoorthi

doi 10.5267/j.ijiec.2011.12.002
Crossmark

Keywords: End Milling, Metal Matrix Composite, Response surface methodology, Tool flank wear

Abstract: Highly automated CNC end milling machines in manufacturing industry requires reliable model for prediction of tool flank wear. This model later can be used to predict the tool flank wear (VBmax) according to the process parameters. In this investigation an attempt was made to develop an empirical relationship to predict the tool flank wear (VBmax) of carbide tools while machining LM25 Al/SiCp incorporating the process parameters such as spindle speed (N), feed rate (f), depth of cut (d) and various % wt. of silicon carbide (S). Response surface methodology (RSM) was applied to optimizing the end milling process parameters to attain the minimum tool flank wear. Predicted values obtained from the developed model and experimental results are compared, and error & LT; 5 percent is observed. In addition, it is concluded that the flank wear increases with the increase of SiCp percentage weight in the MMC.

How to cite this paper

Arokiadass, R., Palaniradja, K & Alagumoorthi, N. (2012). Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach.International Journal of Industrial Engineering Computations , 3(3), 511-518.

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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 3 | Views: 2586 | Reviews: 0

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