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Numerical Calculation and Uncertain Optimization of Energy Conversion in Interior Ballistics Stage

Author

Listed:
  • Tong Xin

    (School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China)

  • Guolai Yang

    (School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China)

  • Liqun Wang

    (School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China)

  • Quanzhao Sun

    (School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
    Inner Mongolia North Heavy Industries Group Corp. Ltd., Baotou 014033, China)

Abstract

Gun firing is a process that converts propellant chemical energy to projectile kinetic energy and other kinds of energies. In order to explore the energy conversion process, firstly, the interior ballistics mathematical model and the barrel-projectile finite element model are built and solved. Then, the related variable values and energy values are obtained and discussed. Finally, for improving energy efficiency, the interval uncertainty optimization problem is modeled, and then solved using the two-layer nested optimization strategy and back-propagation (BP) neural network surrogate model. Calculation results show that, after optimization, the heat efficiency raises from 31.13% to 33.05% and the max rifling stress decreases from 893.68 to 859.76 Mpa, which would improve the firing performance and prolong the lifetime of the gun barrel.

Suggested Citation

  • Tong Xin & Guolai Yang & Liqun Wang & Quanzhao Sun, 2020. "Numerical Calculation and Uncertain Optimization of Energy Conversion in Interior Ballistics Stage," Energies, MDPI, vol. 13(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5824-:d:441448
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    References listed on IDEAS

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