Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6302
Title: | Armature Shape Optimization of an Electromagnetic Launcher Using Genetic Algorithm | Authors: | Ceylan, Doğa Güdelek, Mehmet Uğur Keyşan, Ozan |
Keywords: | [No Keywords] | Publisher: | IEEE | Source: | 21st IEEE International Conference on Pulsed Power (PPC) -- JUN 18-22, 2017 -- Brighton, ENGLAND | Abstract: | Barrel side and pulsed power supply module are two crucial parts of an electromagnetic launcher (EML), which affects the efficiency. One of the most important features in the barrel side is the shape of the armature. In this study, the shape of the armature is optimized by using independent variables to define the exact geometry of the armature. The main goal is to maximize the muzzle kinetic energy of the projectile. Armature geometry is divided into pieces which are used in the optimization algorithm as independent variables. Finite element method (FEM) is used to calculate the fitness function of the genetic algorithm (GA). | URI: | https://hdl.handle.net/20.500.11851/6302 | ISBN: | 978-1-5090-5748-1 |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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