International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume5,April 2018,

Topic : Electromagnetic Projectile Launcher

Authors:Tiple Hemant P || Prakash V. Gaikwad, Yograj S. Gavankar

Abstract:An electromagnetic projectile launcher (EMPL) system accelerates and launches a projectile by converting electric energy into kinetic energy. There are two types of EMPL systems under development: The rail gun and the coil gun. A rail gun comprises a pair of parallel conducting rails, along which a sliding armature is accelerated by the electromagnetic effects of a current that flows down from one rail, into the armature and then back along the other rail, but the high mechanical friction between the projectile and the rail can damage the projectile. whereas A coil gun launches the projectile by the attractive magnetic force induced by the electromagnetic coil. A greater projectile muzzle velocity needs multiple stages of electromagnetic coils, that will make the coil gun EMPL system longer. As a result, the installation cost of a coil gun EMPL system is high because of the large installation site needed for the EMPL system. We present a coil gun EMPL system that has a new structure and arrangement for multiple electromagnetic coils to reduce the length of the system. A mathematical model of the proposed coil gun EMPL system is developed in order to calculate the magnetic field and forces, and to simulate the muzzle velocity of a projectile by driving the electric pulsed current into multiple stages of electromagnetic coils. Using the proposed design, the length of the coil gun EMPL system is shortened by 31% compared with a conventional coil gun system while satisfying a target projectile muzzle velocity over 100 m/s..

Keywords: Artificial Intelligence, Camera Module, Image Processing, Raspberry Pi

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DOI: 01.1617/vol5/iss4/pid02135

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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