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作者机构:School of Mechanical EngineeringNanjing University of Science and TechnologyNanjing210094China School of Intelligent ManufacturingNanjing University of Science and Technology Zijin CollegeNanjing210023China
出 版 物:《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模(英文))
年 卷 期:2024年第140卷第7期
页 面:793-819页
核心收录:
学科分类:08[工学] 0801[工学-力学(可授工学、理学学位)]
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)
主 题:Artillery internal ballistics dynamics multi-stage optimization multi-disciplinary design optimization collaborative optimization
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)***,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 *** model was systematically decomposed into subsystems from a system engineering *** 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 *** methodology was applied to the AIBD *** demonstrated that the MS-MDO method in Stage I effectively reduced iteration and evaluation counts,thereby accelerating system-level ***,Stage II optimization markedly enhanced overall *** comprehensive evaluation results affirmed the effectiveness of the MS-MDO method.