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作 者:Jipeng Xie Guolai Yang Liqun Wang Lei Li
机构地区:[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
出 处:《Computer Modeling in Engineering & Sciences》2024年第7期793-819,共27页工程与科学中的计算机建模(英文)
基 金:supported by the“National Natural Science Foundation of China”(Grant Nos.52105106,52305155);the“Jiangsu Province Natural Science Foundation”(Grant Nos.BK20210342,BK20230904);the“Young Elite Scientists Sponsorship Programby CAST”(Grant No.2023JCJQQT061).
摘 要: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.
关 键 词:ARTILLERY internal ballistics dynamics multi-stage optimization multi-disciplinary design optimization collaborative optimization
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