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Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis

The friction drilling process has the great prospective to vitalize green manufacturing in hole-making process. The optimization of process performance in friction drilling can be realized through an appropriate selection on process parameters. However, some recognized techniques can successfully op...

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Main Authors: Abdul Mutalib, Mohd Zurrayen, Ismail, Mohd Idris Shah, As'arry, Azizan, Abdul Jalil, Nawal Aswan
Format: Article
Language:English
Published: ModTech Publishing 2020
Online Access:http://psasir.upm.edu.my/id/eprint/86856/1/Multi%20objective%20optimization%20in%20friction%20drilling.pdf
http://psasir.upm.edu.my/id/eprint/86856/
https://www.ijmmt.ro/international-journal-ijmmt.php?volume=vol12no12020
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spelling my.upm.eprints.868562021-11-22T02:21:05Z http://psasir.upm.edu.my/id/eprint/86856/ Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis Abdul Mutalib, Mohd Zurrayen Ismail, Mohd Idris Shah As'arry, Azizan Abdul Jalil, Nawal Aswan The friction drilling process has the great prospective to vitalize green manufacturing in hole-making process. The optimization of process performance in friction drilling can be realized through an appropriate selection on process parameters. However, some recognized techniques can successfully optimize only on a single-performance characteristic, and optimization on multi-performance characteristics can be difficult and challenging to investigate due to its complexity in the analysis. In this present work, a parametric optimization in friction drilling of medium carbon steel AISI 1045 using L25 orthogonal array design of experiments has been experimentally investigated. The grey relational analysis (GRA) has been utilized to determine optimum process parameters in friction drilling process by considering multi-performance characteristic, namely bush length and roundness error. The GRA results confirm that the best combination of process parameter is obtained as spindle speed 3000 rpm and feed rate 50 mm/min. It has been found that the spindle speed is the more significantly affected than feed rate to obtain a greater bush length and lower roundness error through response table. The confirmation test results show that the GRA succeeds in optimizing the process parameters in friction drilling process. The study revealed the multi-performance characteristic can be enhanced by selecting the proper process parameters. ModTech Publishing 2020-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86856/1/Multi%20objective%20optimization%20in%20friction%20drilling.pdf Abdul Mutalib, Mohd Zurrayen and Ismail, Mohd Idris Shah and As'arry, Azizan and Abdul Jalil, Nawal Aswan (2020) Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis. International Journal of Modern Manufacturing Technologies, 12 (1). 75 - 81. ISSN 2067–3604 https://www.ijmmt.ro/international-journal-ijmmt.php?volume=vol12no12020
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The friction drilling process has the great prospective to vitalize green manufacturing in hole-making process. The optimization of process performance in friction drilling can be realized through an appropriate selection on process parameters. However, some recognized techniques can successfully optimize only on a single-performance characteristic, and optimization on multi-performance characteristics can be difficult and challenging to investigate due to its complexity in the analysis. In this present work, a parametric optimization in friction drilling of medium carbon steel AISI 1045 using L25 orthogonal array design of experiments has been experimentally investigated. The grey relational analysis (GRA) has been utilized to determine optimum process parameters in friction drilling process by considering multi-performance characteristic, namely bush length and roundness error. The GRA results confirm that the best combination of process parameter is obtained as spindle speed 3000 rpm and feed rate 50 mm/min. It has been found that the spindle speed is the more significantly affected than feed rate to obtain a greater bush length and lower roundness error through response table. The confirmation test results show that the GRA succeeds in optimizing the process parameters in friction drilling process. The study revealed the multi-performance characteristic can be enhanced by selecting the proper process parameters.
format Article
author Abdul Mutalib, Mohd Zurrayen
Ismail, Mohd Idris Shah
As'arry, Azizan
Abdul Jalil, Nawal Aswan
spellingShingle Abdul Mutalib, Mohd Zurrayen
Ismail, Mohd Idris Shah
As'arry, Azizan
Abdul Jalil, Nawal Aswan
Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
author_facet Abdul Mutalib, Mohd Zurrayen
Ismail, Mohd Idris Shah
As'arry, Azizan
Abdul Jalil, Nawal Aswan
author_sort Abdul Mutalib, Mohd Zurrayen
title Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
title_short Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
title_full Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
title_fullStr Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
title_full_unstemmed Multi-objective optimization in friction drilling of AISI1045 steel using grey relational analysis
title_sort multi-objective optimization in friction drilling of aisi1045 steel using grey relational analysis
publisher ModTech Publishing
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/86856/1/Multi%20objective%20optimization%20in%20friction%20drilling.pdf
http://psasir.upm.edu.my/id/eprint/86856/
https://www.ijmmt.ro/international-journal-ijmmt.php?volume=vol12no12020
_version_ 1718927718414811136
score 13.211869

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