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

Tong Xin, Guolai Yang, Liqun Wang and Quanzhao Sun
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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

Energies, 2020, vol. 13, issue 21, 1-21

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.

Keywords: energy conversion; energy distribution; energy efficiency; energy calculation of gun firing system; uncertain optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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