Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM

Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM

High Speed Machining is applicable for producing parts that require little or no grinding / polishing operations within the required machining tolerances. For achieving required level of quality, selection of cutting tools and parameters in high speed machining is very important. In this study, smal...

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Main Authors: Alam, S., Amin, A. K. M. Nurul, Konneh, Mohamed, Patwari, Anayet U.
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2011
Subjects:
TJ1125 Machine shops and machine shop practice
Online Access:http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/1/2011_alam_et_al_Surface_roughness_prediction_-RSM.pdf
id iium-7721
recordtype eprints
spelling iium-77212013-06-27T07:59:41Z http://irep.iium.edu.my/7721/ Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM Alam, S. Amin, A. K. M. Nurul Konneh, Mohamed Patwari, Anayet U. TJ1125 Machine shops and machine shop practice High Speed Machining is applicable for producing parts that require little or no grinding / polishing operations within the required machining tolerances. For achieving required level of quality, selection of cutting tools and parameters in high speed machining is very important. In this study, small diameter flat end milling tool was used to achieve high rpm to facilitate the application of low values of feed and depth of cut to achieve better surface roughness. Machining was performed on a Vertical Machining Centre (VMC) with a high speed milling attachment (HES 510), using cutting speed, depth of cut, and feed as machining variables. Statistical prediction model of average surface roughness was developed using three-level full factorial design of experiments. It was observed that depth of cut is the most dominating factor followed by cutting speed and feed. The developed model was used for optimization by desirability function approach to obtain minimum Ra. Maximum desirability of 95.63% was obtained. Trans Tech Publications, Switzerland 2011-06-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7721/1/2011_alam_et_al_Surface_roughness_prediction_-RSM.pdf Alam, S. and Amin, A. K. M. Nurul and Konneh, Mohamed and Patwari, Anayet U. (2011) Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM. Advanced Materials Research, 264-26. pp. 1166-1173. ISSN 1022-6680 http://www.scientific.net doi:10.4028/www.scientific.net/AMR.264-265.1166
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ1125 Machine shops and machine shop practice
spellingShingle TJ1125 Machine shops and machine shop practice
Alam, S.
Amin, A. K. M. Nurul
Konneh, Mohamed
Patwari, Anayet U.
Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
description High Speed Machining is applicable for producing parts that require little or no grinding / polishing operations within the required machining tolerances. For achieving required level of quality, selection of cutting tools and parameters in high speed machining is very important. In this study, small diameter flat end milling tool was used to achieve high rpm to facilitate the application of low values of feed and depth of cut to achieve better surface roughness. Machining was performed on a Vertical Machining Centre (VMC) with a high speed milling attachment (HES 510), using cutting speed, depth of cut, and feed as machining variables. Statistical prediction model of average surface roughness was developed using three-level full factorial design of experiments. It was observed that depth of cut is the most dominating factor followed by cutting speed and feed. The developed model was used for optimization by desirability function approach to obtain minimum Ra. Maximum desirability of 95.63% was obtained.
format Article
author Alam, S.
Amin, A. K. M. Nurul
Konneh, Mohamed
Patwari, Anayet U.
author_facet Alam, S.
Amin, A. K. M. Nurul
Konneh, Mohamed
Patwari, Anayet U.
author_sort Alam, S.
title Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
title_short Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
title_full Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
title_fullStr Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
title_full_unstemmed Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
title_sort surface roughness prediction in high speed flat end milling of ti-6al-4v and optimization by desirability function of rsm
publisher Trans Tech Publications, Switzerland
publishDate 2011
url http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/
http://irep.iium.edu.my/7721/1/2011_alam_et_al_Surface_roughness_prediction_-RSM.pdf
first_indexed 2023-09-18T20:17:14Z
last_indexed 2023-09-18T20:17:14Z
_version_ 1777407869365256192

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