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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848786870846095360 |
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| author | Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim |
| author_facet | Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim |
| author_sort | Zakaria, Faiz |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:15:55Z |
| format | Proceeding Paper |
| id | iium-68018 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:15:55Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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/ |
| spellingShingle | QA276 Mathematical Statistics TJ Mechanical engineering and machinery Zakaria, Faiz Hrairi, Meftah Daoud, Jamal Ibrahim Multi-objective optimization of incremental sheet metal forming |
| title | 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_short | Multi-objective optimization of incremental sheet metal forming |
| title_sort | multi-objective optimization of incremental sheet metal forming |
| topic | QA276 Mathematical Statistics TJ Mechanical engineering and machinery |
| 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 |