STUDI KOMPARASI OPTIMASI PARTICLE SWARM DAN ALGORITMA GENETIKA PADA PERANCANGAN FOIL

J-ENSITEC

View Publication Info
 
 
Field Value
 
Title STUDI KOMPARASI OPTIMASI PARTICLE SWARM DAN ALGORITMA GENETIKA PADA PERANCANGAN FOIL
 
Creator Herraprastanti, Eva Hertnacahyani; Teknik Mesin, Sekolah Tinggi Teknologi Ronggolawe Cepu
Gunawan, Helmi; Teknik Mesin, Sekolah Tinggi Teknologi Ronggolawe Cepu
Santoso, Eko Budi; Teknik Mesin, Politeknik SAKTI Surabaya
 
Subject mechanic engineering
 
Description 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 9.3o, 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.Keywords: Drag, GA, Hydrofoil, Lift, PSO 
 
Publisher Universitas Majalengka
 
Contributor
 
Date 2019-08-22
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jurnal.unma.ac.id/index.php/JE/article/view/1500
10.31949/j-ensitec.v5i02.1500
 
Source J-ENSITEC; Vol 5, No 02 (2019): Mei 2019
2477-359X
2477-359X
10.31949/j-ensitec.v5i02
 
Language eng
 
Relation https://jurnal.unma.ac.id/index.php/JE/article/view/1500/1383
 
Rights Copyright (c) 2019 J-ENSITEC
http://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library