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Model of magnetic gun with respecting eddy currents

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering (20-21.04.2015 ; Poznań, Polska)
Języki publikacji
EN
Abstrakty
EN
A sophisticated mathematical model of the magnetic gun is presented and solved numerically. The model consists of three strongly non-linear and non-stationary differential equations describing the time-dependent distribution of magnetic field in the device, current in the field circuit and movement of the projectile. The numerical solution is carried out in the application Agros2D based on a fully adaptive higher-order finite element method. The results are processed in Wolfram Mathematica. The methodology is illustrated by an example and selected results are compared with experiment.
Rocznik
Tom
Strony
21--29
Opis fizyczny
Bibliogr. 8 poz., rys.
Twórcy
autor
  • Czech Technical University in Prague
autor
  • Czech Technical University in Prague
autor
  • Czech Technical University in Prague
Bibliografia
  • [1] McNab I.R., Early Electric Gun Research. IEEE Trans. Magn., Vol. 35 (1999), Issue 1, pp. 250–261.
  • [2] Kuczmann M. and Iványi A., The Finite Element Method in Magnetics. Akadémiai Kiadó, Budapest HU, 2008.
  • [3] Stratton, J. A., Electromagnetic Theory. John Willey & Sons, 2007.
  • [4] Aksoy S., Balikci A., Zabar Z., Birenbaum L., Numerical Investigation of the Effect of a Longitudinally Layered Armature on Coilgun Performance. IEEE Trans. Plasma Sci., Vol. 39 (2010), Issue 1, pp. 5–8.
  • [5] Tzeng J.T., Schmidt E.M., Comparison of Electromagnetic and Conventional Guns from a Mechanics and Material Aspect. Proc. 23rd International Conference on Ballistics. Tarragona, Spain, 16–20 Apr. 2007, pp. 597–604.
  • [6] Vokoun D., Beleggia M., and Heller, L., Magnetic Guns with Cylindrical Permanent Magnets. J. Magnetism and Magnetic Materials, Vol. 324 (2012), Issue 9, pp. 1715–1719.
  • [7] Guo L. & al., Optimization for Capacitor-Driven Coilgun Based on Equivalent Circuit Model and Genetic Algorithm. Proc. ECCE 2009 – IEEE Energy Conversion Congress and Exposition. San Jose, CA, 20–24 Sept. 2009, pp. 234–239.
  • [8] Karban P., Mach F., Kůs P., Pánek, D., Doležel I., Numerical Solution of Coupled Problems Using Code Agros2D, Computing 95 (2013), No. 1, pp. 381–408.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0d6f9c03-ab6b-4315-8d4c-6f028957e609
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