Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling
This paper investigated the influence of three micro electrodischarge milling process parameters, which were feed rate, capacitance, and voltage. The response variables were average surface roughness (Ra), maximum peak-to-valley roughness height (Ry), tool wear ratio (TWR), and material removal...
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my.iium.irep.125122012-02-15T01:29:42Z http://irep.iium.edu.my/12512/ Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling Mehfuz, Reyad Ali, Mohammad Yeakub T Technology (General) This paper investigated the influence of three micro electrodischarge milling process parameters, which were feed rate, capacitance, and voltage. The response variables were average surface roughness (Ra), maximum peak-to-valley roughness height (Ry), tool wear ratio (TWR), and material removal rate (MRR). Statistical models of these output responses were developed using three-level full factorial design of experiment. The developed models were used for multiple-response optimization by desirability function approach to obtain minimum Ra, Ry, TWR, and maximum MRR. Maximum desirability was found to be 88%. The optimized values of Ra, Ry, TWR, and MRR were 0.04, 0.34 μm, 0.044, and 0.08 mg min−1, respectively for 4.79 μm s−1 feed rate, 0.1 nF capacitance, and 80 V voltage. Optimized machining parameters were used in verification experiments, where the responses were found very close to the predicted values. Springer 2009 Article REM application/pdf en http://irep.iium.edu.my/12512/4/Investigationofmachiningparameters12512.pdf Mehfuz, Reyad and Ali, Mohammad Yeakub (2009) Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling. International Journal of Advanced Manufacturing Technology, 43 (3). pp. 264-275. ISSN 1433-3015 (O); 0268-3768 (P) http://www.springerlink.com http://www.springerlink.com/content/102823/ |
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T Technology (General) Mehfuz, Reyad Ali, Mohammad Yeakub Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
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This paper investigated the influence of three
micro electrodischarge milling process parameters, which
were feed rate, capacitance, and voltage. The response
variables were average surface roughness (Ra), maximum
peak-to-valley roughness height (Ry), tool wear ratio
(TWR), and material removal rate (MRR). Statistical models
of these output responses were developed using three-level
full factorial design of experiment. The developed models
were used for multiple-response optimization by desirability
function approach to obtain minimum Ra, Ry, TWR, and
maximum MRR. Maximum desirability was found to be
88%. The optimized values of Ra, Ry, TWR, and MRR were
0.04, 0.34 μm, 0.044, and 0.08 mg min−1, respectively for
4.79 μm s−1 feed rate, 0.1 nF capacitance, and 80 V
voltage. Optimized machining parameters were used in
verification experiments, where the responses were found
very close to the predicted values. |
format |
Article |
author |
Mehfuz, Reyad Ali, Mohammad Yeakub |
author_facet |
Mehfuz, Reyad Ali, Mohammad Yeakub |
author_sort |
Mehfuz, Reyad |
title |
Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
title_short |
Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
title_full |
Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
title_fullStr |
Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
title_full_unstemmed |
Investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
title_sort |
investigation of machining parameters for the multiple response optimization of micro electrodischarge milling |
publisher |
Springer |
publishDate |
2009 |
url |
http://irep.iium.edu.my/12512/4/Investigationofmachiningparameters12512.pdf http://irep.iium.edu.my/12512/ http://www.springerlink.com http://www.springerlink.com/content/102823/ |
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1643606629013258240 |