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 d...
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utem-42792015-05-28T02:40:48Z 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. 2011 Article NonPeerReviewed application/pdf http://eprints.utem.edu.my/4279/1/Mathematical_Modeling_of_Surface_Roughness.pdf http://www.waset.org/journals/ijens/v5/v5-3-28.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://eprints.utem.edu.my/4279/ |
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Universiti Teknikal Malaysia Melaka |
building |
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topic |
TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) mohamad, ahmad kamely sued, mohammad kamil chong, wan chin Mathematical Modeling of Surface Roughness in Surface Grinding Operation |
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. |
format |
Article |
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 |
title |
Mathematical Modeling of Surface Roughness
in Surface Grinding Operation |
title_short |
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_sort |
mathematical modeling of surface roughness
in surface grinding operation |
publishDate |
2011 |
url |
http://www.waset.org/journals/ijens/v5/v5-3-28.pdf http://www.waset.org/journals/ijens/v5/v5-3-28.pdf http://eprints.utem.edu.my/4279/1/Mathematical_Modeling_of_Surface_Roughness.pdf |
first_indexed |
2018-09-05T10:20:40Z |
last_indexed |
2018-09-05T10:20:40Z |
_version_ |
1610762514843303936 |