Armature shape optimization of an electromagnetic launcher using genetic algorithm

D. Ceylan; M. U. Gudelek; O. Keysan

doi:10.1109/PPC.2017.8291202

Armature shape optimization of an electromagnetic launcher using genetic algorithm

D. Ceylan, M. U. Gudelek, O. Keysan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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).

Original language	English
Title of host publication	2017 IEEE 21st International Conference on Pulsed Power, PPC 2017
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-5090-5748-1
DOIs	https://doi.org/10.1109/PPC.2017.8291202
Publication status	Published - 13 Feb 2018
Externally published	Yes
Event	21st IEEE International Conference Pulsed Power, PPC 2017 - Hilton Metropole, Brighton, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 21 http://ece-events.unm.edu/ppc2017/

Conference

Conference	21st IEEE International Conference Pulsed Power, PPC 2017
Abbreviated title	PPC 2017
Country/Territory	United Kingdom
City	Brighton
Period	18/06/17 → 22/06/17
Internet address	http://ece-events.unm.edu/ppc2017/

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10.1109/PPC.2017.8291202

Cite this

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title = "Armature shape optimization of an electromagnetic launcher using genetic algorithm",

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).",

author = "D. Ceylan and Gudelek, {M. U.} and O. Keysan",

year = "2018",

month = feb,

day = "13",

doi = "10.1109/PPC.2017.8291202",

language = "English",

booktitle = "2017 IEEE 21st International Conference on Pulsed Power, PPC 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "21st IEEE International Conference Pulsed Power, PPC 2017, PPC 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

url = "http://ece-events.unm.edu/ppc2017/",

}

Ceylan, D, Gudelek, MU & Keysan, O 2018, Armature shape optimization of an electromagnetic launcher using genetic algorithm. in 2017 IEEE 21st International Conference on Pulsed Power, PPC 2017., 8291202, Institute of Electrical and Electronics Engineers, Piscataway, 21st IEEE International Conference Pulsed Power, PPC 2017, Brighton, United Kingdom, 18/06/17. https://doi.org/10.1109/PPC.2017.8291202

Armature shape optimization of an electromagnetic launcher using genetic algorithm. / Ceylan, D.; Gudelek, M. U.; Keysan, O.
2017 IEEE 21st International Conference on Pulsed Power, PPC 2017. Piscataway: Institute of Electrical and Electronics Engineers, 2018. 8291202.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Armature shape optimization of an electromagnetic launcher using genetic algorithm

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AU - Gudelek, M. U.

AU - Keysan, O.

N1 - Conference code: 21

PY - 2018/2/13

Y1 - 2018/2/13

N2 - 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).

AB - 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).

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DO - 10.1109/PPC.2017.8291202

M3 - Conference contribution

AN - SCOPUS:85054243078

BT - 2017 IEEE 21st International Conference on Pulsed Power, PPC 2017

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 21st IEEE International Conference Pulsed Power, PPC 2017

Y2 - 18 June 2017 through 22 June 2017

ER -

Armature shape optimization of an electromagnetic launcher using genetic algorithm

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