Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology
Design of experiment uses a series of structured analytic method to investigate the relation between parameters and the responses. The particular technique used in this study is response surface methodology. Using the DOE approach, a mathematical based model was developed through regression analysis...
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my.utem.eprints.91522015-05-28T04:01:51Z http://eprints.utem.edu.my/id/eprint/9152/ Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology Sivarao, Subramonian Ammar, Abd Rahman T., Joseph Sahaya Anand Salleh, Mohd Shukor TJ Mechanical engineering and machinery Design of experiment uses a series of structured analytic method to investigate the relation between parameters and the responses. The particular technique used in this study is response surface methodology. Using the DOE approach, a mathematical based model was developed through regression analysis to study the response prediction. It is found that for kerf width the cutting speed plays an important role. Only a high cutting speed can produce good kerf width. When considering the interaction between the parameters, duty cycle directly depends on frequency where a high duty cycle is needed for high frequency cutting and vice versa to obtain a good kerf width. IJENS Publishers 2010 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/9152/1/101804-5252_IJET-IJENS.pdf Sivarao, Subramonian and Ammar, Abd Rahman and T., Joseph Sahaya Anand and Salleh, Mohd Shukor (2010) Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology. International Journal of Engineering & Technology, 10 (04). pp. 13-21. ISSN 2077-1185 |
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TJ Mechanical engineering and machinery Sivarao, Subramonian Ammar, Abd Rahman T., Joseph Sahaya Anand Salleh, Mohd Shukor Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
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Design of experiment uses a series of structured analytic method to investigate the relation between parameters and the responses. The particular technique used in this study is response surface methodology. Using the DOE approach, a mathematical based model was developed through regression analysis to study the response prediction. It is found that for kerf width the cutting speed plays an important role. Only a high cutting speed can produce good kerf width. When considering the interaction between the parameters, duty cycle directly depends on frequency where a high duty cycle is needed for high frequency cutting and vice versa to obtain a good kerf width. |
format |
Article |
author |
Sivarao, Subramonian Ammar, Abd Rahman T., Joseph Sahaya Anand Salleh, Mohd Shukor |
author_facet |
Sivarao, Subramonian Ammar, Abd Rahman T., Joseph Sahaya Anand Salleh, Mohd Shukor |
author_sort |
Sivarao, Subramonian |
title |
Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
title_short |
Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
title_full |
Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
title_fullStr |
Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
title_full_unstemmed |
Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology |
title_sort |
stochastic modeling and optimization of laser machining by response surface methodology |
publisher |
IJENS Publishers |
publishDate |
2010 |
url |
http://eprints.utem.edu.my/id/eprint/9152/1/101804-5252_IJET-IJENS.pdf http://eprints.utem.edu.my/id/eprint/9152/ |
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13.18916 |