Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization
In today’s competitive environment, optimization is considered as an important element for maintaining and improving both aspect of manufacturing such as quality and productivity. In multi-holes drilling process, 70% of the machining time involved the tool movement and tool switching. Various resear...
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| Format: | Research Report |
| Language: | en |
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2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/36366/1/Modeling%20and%20optimization%20of%20multi-holes%20drilling%20path%20using%20particle%20swarm%20optimization.wm.pdf http://umpir.ump.edu.my/id/eprint/36366/ |
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| author | Ab Rashid, Mohd Fadzil Faisae Nik Mohamed, Nik Mohd Zuki Romlay, Fadhlur Rahman Mohd Razali, Akhtar Razul Asmizam, Mokhtar |
| author_facet | Ab Rashid, Mohd Fadzil Faisae Nik Mohamed, Nik Mohd Zuki Romlay, Fadhlur Rahman Mohd Razali, Akhtar Razul Asmizam, Mokhtar |
| author_sort | Ab Rashid, Mohd Fadzil Faisae |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In today’s competitive environment, optimization is considered as an important element for maintaining and improving both aspect of manufacturing such as quality and productivity. In multi-holes drilling process, 70% of the machining time involved the tool movement and tool switching. Various researches had been conducted to reduce the tool movement and switching time. This research aim to reduce the machining time by minimizing the tool path using metaheuristics algorithms. The problem is modelled using travelling salesman problem (TSP) concept. Later the problem is optimized using Particle Swarm Optimization (PSO) and compared with other algorithms including the new metaheuristics algorithms. Then a machining experiment has been conducted to validate the optimization results. The optimization results clearly indicated that the PSO algorithm outperformed all comparison algorithms for the drilling tool path problem. The machining experiment results confirmed that the PSO algorithm provide faster tool path compared with commercial CAD CAM software, with average 5%. |
| format | Research Report |
| id | my.ump.umpir.36366 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2018 |
| record_format | eprints |
| spelling | my.ump.umpir.363662023-02-20T02:17:09Z http://umpir.ump.edu.my/id/eprint/36366/ Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization Ab Rashid, Mohd Fadzil Faisae Nik Mohamed, Nik Mohd Zuki Romlay, Fadhlur Rahman Mohd Razali, Akhtar Razul Asmizam, Mokhtar TJ Mechanical engineering and machinery In today’s competitive environment, optimization is considered as an important element for maintaining and improving both aspect of manufacturing such as quality and productivity. In multi-holes drilling process, 70% of the machining time involved the tool movement and tool switching. Various researches had been conducted to reduce the tool movement and switching time. This research aim to reduce the machining time by minimizing the tool path using metaheuristics algorithms. The problem is modelled using travelling salesman problem (TSP) concept. Later the problem is optimized using Particle Swarm Optimization (PSO) and compared with other algorithms including the new metaheuristics algorithms. Then a machining experiment has been conducted to validate the optimization results. The optimization results clearly indicated that the PSO algorithm outperformed all comparison algorithms for the drilling tool path problem. The machining experiment results confirmed that the PSO algorithm provide faster tool path compared with commercial CAD CAM software, with average 5%. 2018-06 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36366/1/Modeling%20and%20optimization%20of%20multi-holes%20drilling%20path%20using%20particle%20swarm%20optimization.wm.pdf Ab Rashid, Mohd Fadzil Faisae and Nik Mohamed, Nik Mohd Zuki and Romlay, Fadhlur Rahman Mohd and Razali, Akhtar Razul and Asmizam, Mokhtar (2018) Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization. , [Research Report] (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery Ab Rashid, Mohd Fadzil Faisae Nik Mohamed, Nik Mohd Zuki Romlay, Fadhlur Rahman Mohd Razali, Akhtar Razul Asmizam, Mokhtar Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title | Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title_full | Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title_fullStr | Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title_full_unstemmed | Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title_short | Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization |
| title_sort | modeling and optimization of multi-holes drilling path using particle swarm optimization |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/36366/1/Modeling%20and%20optimization%20of%20multi-holes%20drilling%20path%20using%20particle%20swarm%20optimization.wm.pdf http://umpir.ump.edu.my/id/eprint/36366/ |
| url_provider | http://umpir.ump.edu.my/ |