Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel

The quality of the surface produced during carbon steel is important as it inﬂuences the performance of the ﬁnished part to a great extent. This paper discusses the optimization of cylindrical grinding when grinding carbon steel (AISI 1042) and effect of three variables (work speed, diameter of w...

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Main Authors:	K., Kadirgama, M. M., Rahman, A. R., Ismail, R. A., Bakar
Format:	Article
Language:	English
Published:	Academic Journals 2012
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/2311/ http://umpir.ump.edu.my/id/eprint/2311/ http://umpir.ump.edu.my/id/eprint/2311/1/Cited_2012_MMNoor_SRE_Surrogate_Modelling.pdf

id	ump-2311
recordtype	eprints
spelling	ump-23112018-01-25T04:03:26Z http://umpir.ump.edu.my/id/eprint/2311/ Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel K., Kadirgama M. M., Rahman A. R., Ismail R. A., Bakar TS Manufactures The quality of the surface produced during carbon steel is important as it inﬂuences the performance of the ﬁnished part to a great extent. This paper discusses the optimization of cylindrical grinding when grinding carbon steel (AISI 1042) and effect of three variables (work speed, diameter of workpiece and depth of cut) towards surface roughness with aluminium oxide as grinding wheel. Surrogate modelling was used to minimize the number of experiments and developed mathematical model to predict surface roughness hence optimization of cutting variables was found. This model has been validated by the experimental results of aluminium oxide grinding. Prediction model show that diameter of the workpiece and work speed effect mostly compare with depth of cut. The optimum cutting parameters for minimum Ra are work speed 120 RPM; diameter 18 mm and depth of cut 20 µm. The theoretical analysis yielded values which agree reasonably well with the experimental results. Academic Journals 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2311/1/Cited_2012_MMNoor_SRE_Surrogate_Modelling.pdf K., Kadirgama and M. M., Rahman and A. R., Ismail and R. A., Bakar (2012) Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel. Scientific Research and Essay , 7 (5). pp. 598-608. ISSN 1992-2248 http://www.academicjournals.org/sre/PDF/pdf2012/9Feb/Kadirgama%20et%20al.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures K., Kadirgama M. M., Rahman A. R., Ismail R. A., Bakar Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
description	The quality of the surface produced during carbon steel is important as it inﬂuences the performance of the ﬁnished part to a great extent. This paper discusses the optimization of cylindrical grinding when grinding carbon steel (AISI 1042) and effect of three variables (work speed, diameter of workpiece and depth of cut) towards surface roughness with aluminium oxide as grinding wheel. Surrogate modelling was used to minimize the number of experiments and developed mathematical model to predict surface roughness hence optimization of cutting variables was found. This model has been validated by the experimental results of aluminium oxide grinding. Prediction model show that diameter of the workpiece and work speed effect mostly compare with depth of cut. The optimum cutting parameters for minimum Ra are work speed 120 RPM; diameter 18 mm and depth of cut 20 µm. The theoretical analysis yielded values which agree reasonably well with the experimental results.
format	Article
author	K., Kadirgama M. M., Rahman A. R., Ismail R. A., Bakar
author_facet	K., Kadirgama M. M., Rahman A. R., Ismail R. A., Bakar
author_sort	K., Kadirgama
title	Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
title_short	Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
title_full	Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
title_fullStr	Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
title_full_unstemmed	Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel
title_sort	surrogate modelling to predict surface roughness and surface texture when grinding aisi 1042 carbon steel
publisher	Academic Journals
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/2311/ http://umpir.ump.edu.my/id/eprint/2311/ http://umpir.ump.edu.my/id/eprint/2311/1/Cited_2012_MMNoor_SRE_Surrogate_Modelling.pdf
first_indexed	2023-09-18T21:56:00Z
last_indexed	2023-09-18T21:56:00Z
_version_	1777414082663546880

Surrogate Modelling to Predict Surface Roughness and Surface Texture When Grinding AISI 1042 Carbon Steel

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