Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness

Glass is one of the most difficult materials to be machined due to its brittle nature and unique structure such that the fracture is often occurred during machining and the surface finish produced is often poor. CNC milling machine is possible to be used with several parameters making the machining...

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Main Authors:	Sayuti, M., Sarhan, M., Diaa, A.A., Hamdi, M.
Format:	Article
Published:	2011
Subjects:	TS Manufactures
Online Access:	http://eprints.um.edu.my/7259/

id	um-7259
recordtype	eprints
spelling	um-72592013-07-12T00:48:03Z Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness Sayuti, M. Sarhan, M. Diaa, A.A. Hamdi, M. TS Manufactures Glass is one of the most difficult materials to be machined due to its brittle nature and unique structure such that the fracture is often occurred during machining and the surface finish produced is often poor. CNC milling machine is possible to be used with several parameters making the machining process on the glass special compared to other machining process. However, the application of grinding process on the CNC milling machine would be an ideal solution in generating special products with good surface roughness. This paper studies how to optimize the different machining parameters in glass grinding operation on CNC machine seeking for best surface roughness. These parameters include the spindle speed, feed rate, depth of cut, lubrication mode, tool type, tool diameter and tool wear. To optimize these machining parameters in which the most significant parameters affecting the surface roughness can be identified, Taguchi optimization method is used with the orthogonal array of L8(26). However, to obtain the most optimum parameters for best surface roughness, the signal to noise (S/N) response analysis and Pareto analysis of variance (ANOVA) methods are implemented. Finally, the confirmation test is carried out to investigate the improvement of the optimization. The results showed an improvement of 8.91 in the measured surface roughness. 2011 Article PeerReviewed Sayuti, M.; Sarhan, M.; Diaa, A.A.; Hamdi, M. (2011) Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness. Advanced Materials Research <http://eprints.um.edu.my/view/publication/Advanced_Materials_Research.html>, 154. pp. 721-726. ISSN 0878492046 http://eprints.um.edu.my/7259/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TS Manufactures
spellingShingle	TS Manufactures Sayuti, M. Sarhan, M. Diaa, A.A. Hamdi, M. Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
description	Glass is one of the most difficult materials to be machined due to its brittle nature and unique structure such that the fracture is often occurred during machining and the surface finish produced is often poor. CNC milling machine is possible to be used with several parameters making the machining process on the glass special compared to other machining process. However, the application of grinding process on the CNC milling machine would be an ideal solution in generating special products with good surface roughness. This paper studies how to optimize the different machining parameters in glass grinding operation on CNC machine seeking for best surface roughness. These parameters include the spindle speed, feed rate, depth of cut, lubrication mode, tool type, tool diameter and tool wear. To optimize these machining parameters in which the most significant parameters affecting the surface roughness can be identified, Taguchi optimization method is used with the orthogonal array of L8(26). However, to obtain the most optimum parameters for best surface roughness, the signal to noise (S/N) response analysis and Pareto analysis of variance (ANOVA) methods are implemented. Finally, the confirmation test is carried out to investigate the improvement of the optimization. The results showed an improvement of 8.91 in the measured surface roughness.
format	Article
author	Sayuti, M. Sarhan, M. Diaa, A.A. Hamdi, M.
author_facet	Sayuti, M. Sarhan, M. Diaa, A.A. Hamdi, M.
author_sort	Sayuti, M.
title	Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
title_short	Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
title_full	Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
title_fullStr	Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
title_full_unstemmed	Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness
title_sort	optimizing the machining parameters in glass grinding operation on the cnc milling machine for best surface roughness
publishDate	2011
url	http://eprints.um.edu.my/7259/
first_indexed	2018-09-06T05:25:10Z
last_indexed	2018-09-06T05:25:10Z
_version_	1610834520957779968

Optimizing the machining parameters in glass grinding operation on the CNC milling machine for best surface roughness

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