Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool
This study is focused to determine the optimum operating parameters for the end milling process of AA6061T6 under wet cooling conditions. A central composite design of response surface methodology is used to develop an effective analytical model for surface roughness. The primary cutting parameters,...
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Penerbit Universiti Malaysia Pahang
2013
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ump-253712019-07-18T03:45:41Z http://umpir.ump.edu.my/id/eprint/25371/ Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool Najiha, M. S. M. M., Rahman A. R., Yusoff TJ Mechanical engineering and machinery TS Manufactures This study is focused to determine the optimum operating parameters for the end milling process of AA6061T6 under wet cooling conditions. A central composite design of response surface methodology is used to develop an effective analytical model for surface roughness. The primary cutting parameters, namely, speed, feed rate and depth of cut, are considered in this study. Surface roughness is measured using a perthometer. The adequacy of the model is tested using ANOVA at 95% confidence level. Significant parameters are identified in terms of the cutting parameters. The obtained results show that the most significant parameters for the machining of the mentioned alloy are feed rate and depth of cut. The resultant model is then tested for optimization using a genetic algorithm. Penerbit Universiti Malaysia Pahang 2013 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25371/1/Modeling%20of%20the%20end%20milling%20process%20for%20aluminum%20alloy%20AA6061T6%20using%20hss%20tool.pdf Najiha, M. S. and M. M., Rahman and A. R., Yusoff (2013) Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool. International Journal of Automotive and Mechanical Engineering (IJAME), 8 (1). pp. 1140-1150. ISSN 2180-1606 http://dx.doi.org/10.15282/ijame.8.2013.5.0093 http://dx.doi.org/10.15282/ijame.8.2013.5.0093 |
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TJ Mechanical engineering and machinery TS Manufactures Najiha, M. S. M. M., Rahman A. R., Yusoff Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
description |
This study is focused to determine the optimum operating parameters for the end milling process of AA6061T6 under wet cooling conditions. A central composite design of response surface methodology is used to develop an effective analytical model for surface roughness. The primary cutting parameters, namely, speed, feed rate and depth of cut, are considered in this study. Surface roughness is measured using a perthometer. The adequacy of the model is tested using ANOVA at 95% confidence level. Significant parameters are identified in terms of the cutting parameters. The obtained results show that the most significant parameters for the machining of the mentioned alloy are feed rate and depth of cut. The resultant model is then tested for optimization using a genetic algorithm. |
format |
Article |
author |
Najiha, M. S. M. M., Rahman A. R., Yusoff |
author_facet |
Najiha, M. S. M. M., Rahman A. R., Yusoff |
author_sort |
Najiha, M. S. |
title |
Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
title_short |
Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
title_full |
Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
title_fullStr |
Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
title_full_unstemmed |
Modeling of the end milling process for aluminum alloy AA6061T6 using hss tool |
title_sort |
modeling of the end milling process for aluminum alloy aa6061t6 using hss tool |
publisher |
Penerbit Universiti Malaysia Pahang |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/25371/ http://umpir.ump.edu.my/id/eprint/25371/ http://umpir.ump.edu.my/id/eprint/25371/ http://umpir.ump.edu.my/id/eprint/25371/1/Modeling%20of%20the%20end%20milling%20process%20for%20aluminum%20alloy%20AA6061T6%20using%20hss%20tool.pdf |
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2023-09-18T22:38:55Z |
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2023-09-18T22:38:55Z |
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