Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts

Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts

This paper proposes a multi-criteria optimization technique using the mathematical models developed by the response surface methodology (RSM) for the target responses combined with desirability indices for the determining the optimum cutting parameters in end milling of AISI D2 hardened steels. Diff...

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Main Authors: Karim, A.N. Mustafizul, Lajis, M.A., Amin, A. K. M. Nurul
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2011
Subjects:
TS Manufactures
Online Access:http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/1/AMR.264-265.907.pdf
id iium-17278
recordtype eprints
spelling iium-172782013-05-29T03:41:40Z http://irep.iium.edu.my/17278/ Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts Karim, A.N. Mustafizul Lajis, M.A. Amin, A. K. M. Nurul TS Manufactures This paper proposes a multi-criteria optimization technique using the mathematical models developed by the response surface methodology (RSM) for the target responses combined with desirability indices for the determining the optimum cutting parameters in end milling of AISI D2 hardened steels. Different responses may require different targets either being maximized or minimized. Simultaneous achievement of the optimized (maximum or minimum) values of all the responses is very unlikely. In machining operations tool life and volume metal removed are targeted to be maximized whereas the machined surface roughness need to be at minimum level. Models showing the combined effect of the three control factors such as cutting speed, feed, and depth of cut are developed. However, a particular combination of parameter levels appears to be optimum for a particular response but not for all. Thus adoption of the method of consecutive searches with higher desirability values is found to be appropriate. In this study the desirability index reaches to a maximum value of 0.889 after five consecutive solution searching. At this stage, the optimum values of machining parameters - cutting speed, depth of cut and feed were determined as 44.27 m/min, 0.61 mm, 0.065 mm/tooth respectively. Under this set condition of machining operations a surface roughness of 0.348 μm and volume material removal of 7.45 cm3 were the best results compared to the rest four set conditions. However, the tool life would be required to compromise slightly from the optimum value. Trans Tech Publications, Switzerland 2011-06-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/17278/1/AMR.264-265.907.pdf Karim, A.N. Mustafizul and Lajis, M.A. and Amin, A. K. M. Nurul (2011) Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts. Advanced Materials Research, 264-65. pp. 907-912. ISSN 1662-8985 http://dx.doi.org/10.4028/www.scientific.net/AMR.264-265.907 doi:10.4028/www.scientific.net/AMR.264-265.907
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
Karim, A.N. Mustafizul
Lajis, M.A.
Amin, A. K. M. Nurul
Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
description This paper proposes a multi-criteria optimization technique using the mathematical models developed by the response surface methodology (RSM) for the target responses combined with desirability indices for the determining the optimum cutting parameters in end milling of AISI D2 hardened steels. Different responses may require different targets either being maximized or minimized. Simultaneous achievement of the optimized (maximum or minimum) values of all the responses is very unlikely. In machining operations tool life and volume metal removed are targeted to be maximized whereas the machined surface roughness need to be at minimum level. Models showing the combined effect of the three control factors such as cutting speed, feed, and depth of cut are developed. However, a particular combination of parameter levels appears to be optimum for a particular response but not for all. Thus adoption of the method of consecutive searches with higher desirability values is found to be appropriate. In this study the desirability index reaches to a maximum value of 0.889 after five consecutive solution searching. At this stage, the optimum values of machining parameters - cutting speed, depth of cut and feed were determined as 44.27 m/min, 0.61 mm, 0.065 mm/tooth respectively. Under this set condition of machining operations a surface roughness of 0.348 μm and volume material removal of 7.45 cm3 were the best results compared to the rest four set conditions. However, the tool life would be required to compromise slightly from the optimum value.
format Article
author Karim, A.N. Mustafizul
Lajis, M.A.
Amin, A. K. M. Nurul
author_facet Karim, A.N. Mustafizul
Lajis, M.A.
Amin, A. K. M. Nurul
author_sort Karim, A.N. Mustafizul
title Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
title_short Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
title_full Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
title_fullStr Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
title_full_unstemmed Multi-criteria optimization in end milling of AISI D2 hardened steel using coated carbide inserts
title_sort multi-criteria optimization in end milling of aisi d2 hardened steel using coated carbide inserts
publisher Trans Tech Publications, Switzerland
publishDate 2011
url http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/
http://irep.iium.edu.my/17278/1/AMR.264-265.907.pdf
first_indexed 2023-09-18T20:26:06Z
last_indexed 2023-09-18T20:26:06Z
_version_ 1777408426849075200

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