Open Access

ARTICLE

Multi-Stage Multidisciplinary Design Optimization Method for Enhancing Complete Artillery Internal Ballistic Firing Performance

Jipeng Xie^1,2, Guolai Yang^1,*, Liqun Wang¹, Lei Li¹

1 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
2 School of Intelligent Manufacturing, Nanjing University of Science and Technology Zijin College, Nanjing, 210023, China

* Corresponding Author: Guolai Yang. Email:

(This article belongs to the Special Issue: Structural Design and Optimization)

Computer Modeling in Engineering & Sciences 2024, 140(1), 793-819. https://doi.org/10.32604/cmes.2024.048174

Received 29 November 2023; Accepted 24 January 2024; Issue published 16 April 2024

Abstract

To enhance the comprehensive performance of artillery internal ballistics—encompassing power, accuracy, and service life—this study proposed a multi-stage multidisciplinary design optimization (MS-MDO) method. First, the comprehensive artillery internal ballistic dynamics (AIBD) model, based on propellant combustion, rotation band engraving, projectile axial motion, and rifling wear models, was established and validated. This model was systematically decomposed into subsystems from a system engineering perspective. The study then detailed the MS-MDO methodology, which included Stage I (MDO stage) employing an improved collaborative optimization method for consistent design variables, and Stage II (Performance Optimization) focusing on the independent optimization of local design variables and performance metrics. The methodology was applied to the AIBD problem. Results demonstrated that the MS-MDO method in Stage I effectively reduced iteration and evaluation counts, thereby accelerating system-level convergence. Meanwhile, Stage II optimization markedly enhanced overall performance. These comprehensive evaluation results affirmed the effectiveness of the MS-MDO method.

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Keywords

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