Herraprastanti, Eva Hertnacahyani and Gunawan, Helmi and Santoso, Eko Budi (2019) STUDI KOMPARASI OPTIMASI PARTICLE SWARM DAN ALGORITMA GENETIKA PADA PERANCANGAN FOIL. Jurnal J-Ensitec, 5 (2). ISSN 2477-359X
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Abstract
Foil is a ship installed wings at bottom of hull support. If the speed’s ship increases, foil will produce a lift that causes the hull rised and exit from the water. Therefore, there will be a reduction in friction force that results in the ship's velocity increase. The choice of foil is important to improve the ship performance. The study aims to compare 2 optimization methods, namely Genetic Algorithm (GA) and Particle Swarm (PSO) produce maximum lift and minimum drag. The designed foil is Joukowsky type with angle of attack 2°, 4°, 6°, 8°, 10° and 150,000 Reynold numbers. The method is used to state initial geometry of Joukowsky foil, iterated JavaFoil, optimized by GA and PSO using GNU Octave software. They are compared foil produces the maximum optimum CL/CD value. Validation of lift coefficient (CL) and drag (CD) Airfoil S9000 is almost similiar with the Williamson experiment. Stall is at angle of attack 9.3, with CL error of 3.66%, CD error of 6.83%. It results in the allowed tolerances are below 9.5%. Validation with JavaFoil Solver shows accurate results, with error of 4.15%. GA optimization produces CL/CD averages of 41,777 so it grows 6,544%. Whereas the CL/CD average PSO is 36,197, improve of 4,793%. GA optimization has a fairly high convergence speed at the first, then followed by stagnation process, the resulted solution improves significantly. PSO is focused on local search so convergence is difficult to achieve. The recommended foil optimization is to use GA.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Drag, GA, Hydrofoil, Lift, PSO |
| Subjects: | Engineering > Mechanical Engineering |
| Divisions: | Fakultas Teknologi Industri > Teknik Mesin DIII |
| Depositing User: | Mr Sayekti Aditya Endra |
| Date Deposited: | 04 Jul 2023 03:53 |
| Last Modified: | 04 Jul 2023 03:53 |
| URI: | http://eprints.itn.ac.id/id/eprint/12223 |
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