Zainal Abidin, Muhammad Harith and Kamaruddin, Shafie and Adam Malek, Afiqah and Sukindar, Nor Aiman (2024) Application of the Bees Algorithm to find optimal drill path sequence. In: 5th International Symposium on Intelligent Manufacturing and Mechatronics (SIMM 2023), 12th July 2023, Virtual Conference.
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Abstract
Optimisation is about finding the best solution to a particular problem. It is applied in many fields, especially in engineering problems. Drilling hole is a machining process that uses a tool with a pointed end or cutting edges to create circular holes in a material. One of the most common problems with drilling multiple holes is machining time. When drilling multiple holes, 70% of the machining time is spent moving and changing tools. Therefore, optimising the drilling sequence is important to reduce the machining time and increase the production of the company. Therefore, this study is conducted to find the optimal drilling sequence of multiple holes. The Bees Algorithm is applied to find the optimal drilling sequence for some benchmark problems including the 5 × 5, 7 × 7 and 9 × 9 array matrices of holes. The Bees Algorithm was run using R Software. The results found are compared with the results of other algorithms in terms of the drill path length and machining time. The main finding of the study is that the Bees Algorithm found optimal drill path length and minimum machining time comparable to the results of the other algorithms for the 5 × 5, 7 × 7 and 9 × 9 problems. These results show that the Bees Algorithm can be an alternative approach to find the optimal drilling sequence.
Item Type: | Proceeding Paper (Other) |
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Uncontrolled Keywords: | Bees Algorithm, Optimisation, Drilling sequence |
Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering |
Depositing User: | Dr. Shafie Kamaruddin |
Date Deposited: | 07 Aug 2024 09:22 |
Last Modified: | 29 Aug 2024 12:34 |
URI: | http://irep.iium.edu.my/id/eprint/113708 |
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