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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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 |
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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. |
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55263605500 |
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55263605500 Nooraziah A. Tiagrajah V.J. |
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Conference Paper |
| author |
Nooraziah A. Tiagrajah V.J. |
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Nooraziah A. Tiagrajah V.J. A study on regression model using response surface methodology |
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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 |
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A study on regression model using response surface methodology |
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A study on regression model using response surface methodology |
| title_sort |
study on regression model using response surface methodology |
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Trans Tech Publications Ltd |
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2023 |
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1806423456088064000 |