Energy cost modeling for high speed hard turning
This study presented an empirical study to model the cost of the energy for high speed hard turning. A set of experimental machining data to cut hard AISI 4340 steel was obtained with a different range of cutting speed, feed rate and depth of cut with negative rake angle. Regression models were deve...
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iium-84462011-12-04T08:49:09Z http://irep.iium.edu.my/8446/ Energy cost modeling for high speed hard turning Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Mohd Ali, Afifah Agusman, Delvis Suprianto, Mohamad Yuhan TS200 Metal manufactures. Metalworking This study presented an empirical study to model the cost of the energy for high speed hard turning. A set of experimental machining data to cut hard AISI 4340 steel was obtained with a different range of cutting speed, feed rate and depth of cut with negative rake angle. Regression models were developed by using Box-Behnken Design (BBD) as one of Respond Surface Methodology (RSM) collections. Neural network technique was deployed using MATLAB to predict the energy as a part of the artificial intelligent methods. The data collected was statistically analyzed using Analysis of Variance (ANOVA) technique. Second order energy prediction models were developed by using (RSM) then the measured data were used to train the neural network models. A comparison of neural network models with regression models is also carried out. Predictive Box-Behnken models are found to be capable of better predictions for energy within the range of the design boundary Asian Network for Scientific Information 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/8446/1/JAS_2578-2584.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas and Mohd Ali, Afifah and Agusman, Delvis and Suprianto, Mohamad Yuhan (2011) Energy cost modeling for high speed hard turning. Journal of Applied Sciences, 11 (14). pp. 2578-2584. ISSN 1812-5662 (O), 1812-5654 (P) http://scialert.net/abstract/?doi=jas.2011.2578.2584 DOI: 10.3923/jas.2011.2578.2584 |
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TS200 Metal manufactures. Metalworking |
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TS200 Metal manufactures. Metalworking Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Mohd Ali, Afifah Agusman, Delvis Suprianto, Mohamad Yuhan Energy cost modeling for high speed hard turning |
description |
This study presented an empirical study to model the cost of the energy for high speed hard turning. A set of experimental machining data to cut hard AISI 4340 steel was obtained with a different range of cutting speed, feed rate and depth of cut with negative rake angle. Regression models were developed by using Box-Behnken Design (BBD) as one of Respond Surface Methodology (RSM) collections. Neural network technique was deployed using MATLAB to predict the energy as a part of the artificial intelligent methods. The data collected was statistically analyzed using Analysis of Variance (ANOVA) technique. Second order energy prediction models were developed by using (RSM) then the measured data were used to train the neural network models. A comparison of neural network models with regression models is also carried out. Predictive Box-Behnken models are found to be capable of better predictions for energy within the range of the design boundary |
format |
Article |
author |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Mohd Ali, Afifah Agusman, Delvis Suprianto, Mohamad Yuhan |
author_facet |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Mohd Ali, Afifah Agusman, Delvis Suprianto, Mohamad Yuhan |
author_sort |
Al Hazza, Muataz Hazza Faizi |
title |
Energy cost modeling for high speed hard turning |
title_short |
Energy cost modeling for high speed hard turning |
title_full |
Energy cost modeling for high speed hard turning |
title_fullStr |
Energy cost modeling for high speed hard turning |
title_full_unstemmed |
Energy cost modeling for high speed hard turning |
title_sort |
energy cost modeling for high speed hard turning |
publisher |
Asian Network for Scientific Information |
publishDate |
2011 |
url |
http://irep.iium.edu.my/8446/ http://irep.iium.edu.my/8446/ http://irep.iium.edu.my/8446/ http://irep.iium.edu.my/8446/1/JAS_2578-2584.pdf |
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2023-09-18T20:18:10Z |
last_indexed |
2023-09-18T20:18:10Z |
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