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
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Online Access:http://irep.iium.edu.my/26312/1/AMR.576.28.pdf
http://irep.iium.edu.my/26312/
http://www.scientific.net/AMR.576.28
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/26312/1/AMR.576.28.pdf
http://irep.iium.edu.my/26312/
http://www.scientific.net/AMR.576.28
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score 13.18916