Multi-objective optimization of incremental sheet metal forming

The aim of this research project is to optimize incremental sheet metal forming process by analyzing the significant parameters affecting the result of the optimization. The features of the incremental sheet forming (ISF) process allow it to meet a wide array of customer preferences without rely on...

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Main Authors:	Zakaria, Faiz, Hrairi, Meftah, Daoud, Jamal Ibrahim
Format:	Conference or Workshop Item
Language:	English English
Published:	2018
Subjects:	QA276 Mathematical Statistics TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/68018/ http://irep.iium.edu.my/68018/ http://irep.iium.edu.my/68018/1/ICMAAE2018-261.pdf http://irep.iium.edu.my/68018/2/ICMAAE18_ProgrammeBook.pdf

id	iium-68018
recordtype	eprints
spelling	iium-680182018-12-27T01:09:37Z http://irep.iium.edu.my/68018/ Multi-objective optimization of incremental sheet metal forming Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim QA276 Mathematical Statistics TJ Mechanical engineering and machinery The aim of this research project is to optimize incremental sheet metal forming process by analyzing the significant parameters affecting the result of the optimization. The features of the incremental sheet forming (ISF) process allow it to meet a wide array of customer preferences without rely on dies and punches. In this paper, most significant parameter was systematically studied to achieve the aim of optimization. Taguchi method was used separately for single optimization of surface roughness, wall angles, spring back and wall thickness. By help of analysis of variance (ANOVA) the most significant parameter can be rank and the optimal set of parameters can be used according to the greatest effect on surface roughness and wall thickness. The confirmation test also showed that the response tables and graphs from Taguchi analysis and ANOVA constitute effective and efficient methods for determining each design parameter’s optimal level to produce the minimum value of the surface roughness and wall thickness. The implementation of Taguchi-based Grey optimization will be used to derive the optimal process parameters combination of wall angles, surface roughness and spring back. The output of the study will provide the optimal geometrical parameters for all objective functions, wall angles, surface roughness and spring back. 2018-09-20 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/68018/1/ICMAAE2018-261.pdf application/pdf en http://irep.iium.edu.my/68018/2/ICMAAE18_ProgrammeBook.pdf Zakaria, Faiz and Hrairi, Meftah and Daoud, Jamal Ibrahim (2018) Multi-objective optimization of incremental sheet metal forming. In: 4th International Conference on Mechanical, Automotive, and Aerospace Engineering 2018 (ICMAAE’18), 19th-20th September 2018, Kuala Lumpur. (Unpublished) http://iium.edu.my/icmaae/2018/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA276 Mathematical Statistics TJ Mechanical engineering and machinery
spellingShingle	QA276 Mathematical Statistics TJ Mechanical engineering and machinery Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim Multi-objective optimization of incremental sheet metal forming
description	The aim of this research project is to optimize incremental sheet metal forming process by analyzing the significant parameters affecting the result of the optimization. The features of the incremental sheet forming (ISF) process allow it to meet a wide array of customer preferences without rely on dies and punches. In this paper, most significant parameter was systematically studied to achieve the aim of optimization. Taguchi method was used separately for single optimization of surface roughness, wall angles, spring back and wall thickness. By help of analysis of variance (ANOVA) the most significant parameter can be rank and the optimal set of parameters can be used according to the greatest effect on surface roughness and wall thickness. The confirmation test also showed that the response tables and graphs from Taguchi analysis and ANOVA constitute effective and efficient methods for determining each design parameter’s optimal level to produce the minimum value of the surface roughness and wall thickness. The implementation of Taguchi-based Grey optimization will be used to derive the optimal process parameters combination of wall angles, surface roughness and spring back. The output of the study will provide the optimal geometrical parameters for all objective functions, wall angles, surface roughness and spring back.
format	Conference or Workshop Item
author	Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim
author_facet	Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim
author_sort	Zakaria, Faiz
title	Multi-objective optimization of incremental sheet metal forming
title_short	Multi-objective optimization of incremental sheet metal forming
title_full	Multi-objective optimization of incremental sheet metal forming
title_fullStr	Multi-objective optimization of incremental sheet metal forming
title_full_unstemmed	Multi-objective optimization of incremental sheet metal forming
title_sort	multi-objective optimization of incremental sheet metal forming
publishDate	2018
url	http://irep.iium.edu.my/68018/ http://irep.iium.edu.my/68018/ http://irep.iium.edu.my/68018/1/ICMAAE2018-261.pdf http://irep.iium.edu.my/68018/2/ICMAAE18_ProgrammeBook.pdf
first_indexed	2023-09-18T21:36:34Z
last_indexed	2023-09-18T21:36:34Z
_version_	1777412860276637696

Multi-objective optimization of incremental sheet metal forming

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