Mathematical modeling of surface roughness in surface grinding operation

A mathematical model of the surface roughness has been developed by using response surface methodology (RSM) in grinding of AISI D2 cold work tool steels. Analysis of variance (ANOVA) was used to check the validity of the model. Low and high value for work speed and feed rate are decided from design...

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Main Authors: Mohamad, Ahmad Kamely, Sued, Mohammad Kamil, Chong, Wan Chin
Format: Article
Language:English
Published: World Academy Of Science 2011
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/4279/
http://eprints.utem.edu.my/id/eprint/4279/1/Mathematical_Modeling_of_Surface_Roughness.pdf
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author Mohamad, Ahmad Kamely
Sued, Mohammad Kamil
Chong, Wan Chin
author_facet Mohamad, Ahmad Kamely
Sued, Mohammad Kamil
Chong, Wan Chin
author_sort Mohamad, Ahmad Kamely
building UTeM Institutional Repository
collection Online Access
description A mathematical model of the surface roughness has been developed by using response surface methodology (RSM) in grinding of AISI D2 cold work tool steels. Analysis of variance (ANOVA) was used to check the validity of the model. Low and high value for work speed and feed rate are decided from design of experiment. The influences of all machining parameters on surface roughness have been analyzed based on the developed mathematical model. The developed prediction equation shows that both the feed rate and work speed are the most important factor that influences the surface roughness. The surface roughness was found to be the lowers with the used of low feed rate and low work speed. Accuracy of the best model was proved with the testing data.
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publishDate 2011
publisher World Academy Of Science
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spelling utem-42792023-05-16T16:28:28Z http://eprints.utem.edu.my/id/eprint/4279/ Mathematical modeling of surface roughness in surface grinding operation Mohamad, Ahmad Kamely Sued, Mohammad Kamil Chong, Wan Chin TA Engineering (General). Civil engineering (General) A mathematical model of the surface roughness has been developed by using response surface methodology (RSM) in grinding of AISI D2 cold work tool steels. Analysis of variance (ANOVA) was used to check the validity of the model. Low and high value for work speed and feed rate are decided from design of experiment. The influences of all machining parameters on surface roughness have been analyzed based on the developed mathematical model. The developed prediction equation shows that both the feed rate and work speed are the most important factor that influences the surface roughness. The surface roughness was found to be the lowers with the used of low feed rate and low work speed. Accuracy of the best model was proved with the testing data. World Academy Of Science 2011 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/4279/1/Mathematical_Modeling_of_Surface_Roughness.pdf Mohamad, Ahmad Kamely and Sued, Mohammad Kamil and Chong, Wan Chin (2011) Mathematical modeling of surface roughness in surface grinding operation. International Journal of Engineering and Natural Sciences , 5 (3). pp. 146-149. ISSN 2010-4014 http://www.waset.org/journals/ijens/v5/v5-3-28.pdf
spellingShingle TA Engineering (General). Civil engineering (General)
Mohamad, Ahmad Kamely
Sued, Mohammad Kamil
Chong, Wan Chin
Mathematical modeling of surface roughness in surface grinding operation
title Mathematical modeling of surface roughness in surface grinding operation
title_full Mathematical modeling of surface roughness in surface grinding operation
title_fullStr Mathematical modeling of surface roughness in surface grinding operation
title_full_unstemmed Mathematical modeling of surface roughness in surface grinding operation
title_short Mathematical modeling of surface roughness in surface grinding operation
title_sort mathematical modeling of surface roughness in surface grinding operation
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utem.edu.my/id/eprint/4279/
http://eprints.utem.edu.my/id/eprint/4279/
http://eprints.utem.edu.my/id/eprint/4279/1/Mathematical_Modeling_of_Surface_Roughness.pdf