DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion
Design of Experiment commonly referred to as DOE is one of the extensively used methods for experimental study of many processes in engineering. It is a statistical approach in which a mathematical model is developed through experimental runs. DOE provides us the opportunity to optimize and predict...
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2010
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my.utem.eprints.91502015-05-28T04:01:50Z http://eprints.utem.edu.my/id/eprint/9150/ DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion Sivarao, Subramonian Salleh, Mohd Shukor T., Joseph Sahaya Anand Abd Rahman, Ammar TJ Mechanical engineering and machinery Design of Experiment commonly referred to as DOE is one of the extensively used methods for experimental study of many processes in engineering. It is a statistical approach in which a mathematical model is developed through experimental runs. DOE provides us the opportunity to optimize and predict possible output based on the parameters setting. In this study, a review is done on DOE techniques that have been employed for laser beam process optimization by other researches. This study predominantly focuses on the usage of response surface methodology, Taguchi’s method and factorial design in laser beam machining. A deduction is made to illustrate the significance of machining parameters to responses. IJENS Publishers 2010 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/9150/1/101304-8787_IJET-IJENS.pdf Sivarao, Subramonian and Salleh, Mohd Shukor and T., Joseph Sahaya Anand and Abd Rahman, Ammar (2010) DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion. International Journal of Engineering & Technology IJET-IJENS. pp. 1-8. ISSN 2077-1185 |
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TJ Mechanical engineering and machinery Sivarao, Subramonian Salleh, Mohd Shukor T., Joseph Sahaya Anand Abd Rahman, Ammar DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
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Design of Experiment commonly referred to as DOE is one of the extensively used methods for experimental study of many processes in engineering. It is a statistical approach in which a mathematical model is developed through experimental runs. DOE provides us the opportunity to optimize and predict possible output based on the parameters setting. In this study, a review is done on DOE techniques that have been employed for laser beam process optimization by other researches. This study predominantly focuses on the usage of response surface methodology, Taguchi’s method and factorial design in laser beam machining. A deduction is made to illustrate the significance of machining parameters to responses. |
format |
Article |
author |
Sivarao, Subramonian Salleh, Mohd Shukor T., Joseph Sahaya Anand Abd Rahman, Ammar |
author_facet |
Sivarao, Subramonian Salleh, Mohd Shukor T., Joseph Sahaya Anand Abd Rahman, Ammar |
author_sort |
Sivarao, Subramonian |
title |
DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
title_short |
DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
title_full |
DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
title_fullStr |
DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
title_full_unstemmed |
DOE Based Statistical Approaches in Modeling of Laser Processing – Review & Suggestion |
title_sort |
doe based statistical approaches in modeling of laser processing – review & suggestion |
publisher |
IJENS Publishers |
publishDate |
2010 |
url |
http://eprints.utem.edu.my/id/eprint/9150/1/101304-8787_IJET-IJENS.pdf http://eprints.utem.edu.my/id/eprint/9150/ |
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