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A study on regression model using response surface methodology

Response Surface Methodology (RSM) mostly employs statistical regression method as it is practical, economical and relatively easy to use. The first and second order polynomial equation was developed using RSM. This polynomial model usually refers as a regression model. In this research, the objecti...

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Main Authors: Nooraziah A., Tiagrajah V.J.
Other Authors: 55263605500
Format: Conference Paper
Published: Trans Tech Publications Ltd 2023
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spelling my.uniten.dspace-220062023-05-16T10:46:37Z A study on regression model using response surface methodology Nooraziah A. Tiagrajah V.J. 55263605500 35198314400 Response Surface Methodology (RSM) mostly employs statistical regression method as it is practical, economical and relatively easy to use. The first and second order polynomial equation was developed using RSM. This polynomial model usually refers as a regression model. In this research, the objective is to find the best response surface method to model three factors and three levels parameters in machining. From the study, the Box-Behnken Design can develop a good regression model rather than Central Composite Design or Full Factorial Design. While, the second order regression model has proved to be more effective in predicting the performance of the given data set. © (2014) Trans Tech Publications, Switzerland. Final 2023-05-16T02:46:37Z 2023-05-16T02:46:37Z 2014 Conference Paper 10.4028/www.scientific.net/AMM.666.235 2-s2.0-84921637530 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921637530&doi=10.4028%2fwww.scientific.net%2fAMM.666.235&partnerID=40&md5=78c77f5b303629ba072c3c6ca47ace68 https://irepository.uniten.edu.my/handle/123456789/22006 666 235 239 Trans Tech Publications Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Response Surface Methodology (RSM) mostly employs statistical regression method as it is practical, economical and relatively easy to use. The first and second order polynomial equation was developed using RSM. This polynomial model usually refers as a regression model. In this research, the objective is to find the best response surface method to model three factors and three levels parameters in machining. From the study, the Box-Behnken Design can develop a good regression model rather than Central Composite Design or Full Factorial Design. While, the second order regression model has proved to be more effective in predicting the performance of the given data set. © (2014) Trans Tech Publications, Switzerland.
author2 55263605500
author_facet 55263605500
Nooraziah A.
Tiagrajah V.J.
format Conference Paper
author Nooraziah A.
Tiagrajah V.J.
spellingShingle Nooraziah A.
Tiagrajah V.J.
A study on regression model using response surface methodology
author_sort Nooraziah A.
title A study on regression model using response surface methodology
title_short A study on regression model using response surface methodology
title_full A study on regression model using response surface methodology
title_fullStr A study on regression model using response surface methodology
title_full_unstemmed A study on regression model using response surface methodology
title_sort study on regression model using response surface methodology
publisher Trans Tech Publications Ltd
publishDate 2023
_version_ 1806423456088064000
score 13.214268

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