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Modeling, Simulation and Uncertain Optimization of the Gun Engraving System

Author

Listed:
  • Tong Xin

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

  • Guolai Yang

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

  • Fengjie Xu

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

  • Quanzhao Sun

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

  • Alexandi Minak

    (Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada)

Abstract

The system designed to accomplish the engraving process of a rotating band projectile is called the gun engraving system. To obtain higher performance, the optimal design of the size parameters of the gun engraving system was carried out. First, a fluid–solid coupling computational model of the gun engraving system was built and validated by the gun launch experiment. Subsequently, three mathematic variable values, like performance evaluation indexes, were obtained. Second, a sensitivity analysis was performed, and four high-influence size parameters were selected as design variables. Finally, an optimization model based on the affine arithmetic was set up and solved, and then the optimized intervals of performance evaluation indexes were obtained. After the optimal design, the percent decrease of the maximum engraving resistance force ranged from 6.34% to 18.24%; the percent decrease of the maximum propellant gas temperature ranged from 1.91% to 7.45%; the percent increase of minimum pressure wave of the propellant gas ranged from 0.12% to 0.36%.

Suggested Citation

  • Tong Xin & Guolai Yang & Fengjie Xu & Quanzhao Sun & Alexandi Minak, 2021. "Modeling, Simulation and Uncertain Optimization of the Gun Engraving System," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:4:p:398-:d:501088
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    References listed on IDEAS

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    1. Jiang, C. & Han, X. & Liu, G.R. & Liu, G.P., 2008. "A nonlinear interval number programming method for uncertain optimization problems," European Journal of Operational Research, Elsevier, vol. 188(1), pages 1-13, July.
    2. Luque, Mariano & Marcenaro-Gutierrez, Oscar D. & Ruiz, Ana B., 2020. "Evaluating the global efficiency of teachers through a multi-criteria approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
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    Cited by:

    1. Ali Kamil Gumar & Funda Demir, 2022. "Solar Photovoltaic Power Estimation Using Meta-Optimized Neural Networks," Energies, MDPI, vol. 15(22), pages 1-15, November.

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