Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools

This research demonstrated the use of conventional milling machines with diamond coated tools, high speed attachments, and air blowing mechanisms for ductile mode machining of silicon and subsequently modeling and optimizing the resultant surface roughness. Spindle speed, depth of cut, and feed r...

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Main Authors:	Amin, A. K. M. Nurul, Khalid, Noor Syairah, Mohd Nasir, Siti Nurshahida, Arif, Muammer Din
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2012
Subjects:	TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/1/AMR.576.28.pdf

id	iium-26312
recordtype	eprints
spelling	iium-263122013-07-18T07:24:39Z http://irep.iium.edu.my/26312/ Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools Amin, A. K. M. Nurul Khalid, Noor Syairah Mohd Nasir, Siti Nurshahida Arif, Muammer Din TS200 Metal manufactures. Metalworking This research demonstrated the use of conventional milling machines with diamond coated tools, high speed attachments, and air blowing mechanisms for ductile mode machining of silicon and subsequently modeling and optimizing the resultant surface roughness. Spindle speed, depth of cut, and feed rate, ranges: 60,000 to 80,000 rpm, 10 to 20 μm, and 5 to 15 mm/min respectively, were considered as the independent machining parameters for the modeling process. Compressed air at 0.35 MPa was also provided to prevent chip deposition on the finished surfaces. The resultant surfaces were analysed using Optical and Scanning Electron (SEM) Microscopes as well as Wyko NT 1100 and SurfTest SV-500 profilometers. The response, surface roughness, was then modeled using a small Central Composite Design (CCD) in Response Surface Methodology (RSM). The quadratic relation was found to be most suitable following Fit and Summary and ANOVA analyses. The relation was then optimized using Desirability Function (DF) in Design of Expert (DOE) software. The optimum attainable surface roughness, which was validated using experimental runs, was found to be 0.11 μm which may be considered quite satisfactory. Trans Tech Publications, Switzerland 2012-10-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26312/1/AMR.576.28.pdf Amin, A. K. M. Nurul and Khalid, Noor Syairah and Mohd Nasir, Siti Nurshahida and Arif, Muammer Din (2012) Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools. Advanced Materials Research, 576. pp. 28-31. ISSN 1022-6680 http://www.scientific.net/AMR.576.28 doi:10.4028/www.scientific.net/AMR.576.28
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TS200 Metal manufactures. Metalworking
spellingShingle	TS200 Metal manufactures. Metalworking Amin, A. K. M. Nurul Khalid, Noor Syairah Mohd Nasir, Siti Nurshahida Arif, Muammer Din Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
description	This research demonstrated the use of conventional milling machines with diamond coated tools, high speed attachments, and air blowing mechanisms for ductile mode machining of silicon and subsequently modeling and optimizing the resultant surface roughness. Spindle speed, depth of cut, and feed rate, ranges: 60,000 to 80,000 rpm, 10 to 20 μm, and 5 to 15 mm/min respectively, were considered as the independent machining parameters for the modeling process. Compressed air at 0.35 MPa was also provided to prevent chip deposition on the finished surfaces. The resultant surfaces were analysed using Optical and Scanning Electron (SEM) Microscopes as well as Wyko NT 1100 and SurfTest SV-500 profilometers. The response, surface roughness, was then modeled using a small Central Composite Design (CCD) in Response Surface Methodology (RSM). The quadratic relation was found to be most suitable following Fit and Summary and ANOVA analyses. The relation was then optimized using Desirability Function (DF) in Design of Expert (DOE) software. The optimum attainable surface roughness, which was validated using experimental runs, was found to be 0.11 μm which may be considered quite satisfactory.
format	Article
author	Amin, A. K. M. Nurul Khalid, Noor Syairah Mohd Nasir, Siti Nurshahida Arif, Muammer Din
author_facet	Amin, A. K. M. Nurul Khalid, Noor Syairah Mohd Nasir, Siti Nurshahida Arif, Muammer Din
author_sort	Amin, A. K. M. Nurul
title	Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
title_short	Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
title_full	Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
title_fullStr	Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
title_full_unstemmed	Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
title_sort	statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools
publisher	Trans Tech Publications, Switzerland
publishDate	2012
url	http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/ http://irep.iium.edu.my/26312/1/AMR.576.28.pdf
first_indexed	2023-09-18T20:39:13Z
last_indexed	2023-09-18T20:39:13Z
_version_	1777409252182196224

Statistical approach to modeling & optimization of surface roughness in high speed end milling of silicon with diamond coated tools

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