Modeling, Simulation and Uncertain Optimization of the Gun Engraving System

Tong Xin, Guolai Yang, Fengjie Xu, Quanzhao Sun and Alexandi Minak
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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

Mathematics, 2021, vol. 9, issue 4, 1-25

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%.

Keywords: fluid-solid coupling computational model; sensitivity analysis; interval uncertain optimization; multiple objective optimizations; optimal design of size parameters (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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