摘要
针对战斗部熔铸装药精密高效成型的需求,提出了一种基于数字孪生的熔铸装药成型工艺参数智能优化方法。构建熔铸装药成型数字孪生平台,建立装药成型工艺参数和成型质量性能指标之间的非线性耦合预测模型,采用DNSGA-Ⅱ-A动态多目标优化算法对工艺参数进行寻优并输出最优解。试验结果表明:该方法能有效解决DNAN基含铝熔铸炸药装药成型过程多个工艺参数动态优化问题,相对传统方法能较快获得当前工艺条件下最优工艺参数,工艺参数优化后的装药质量明显提升。
In order to meet the requirement of precise and efficient forming of warheads,this paper proposes an intelligent optimization method of fusion casting charge molding process parameters based on digital twin.A digital twin platform for melting and casting charge molding is firstly constructed.Then,a nonlinear coupling prediction model between charge molding process parameters and molding quality performance indexes is constructed.Finally,the process parameters are optimized and the optimal solution is output by DNSGA-Ⅱ-A dynamic multi-objective optimization algorithm.The experimental results show that method can effectively conduct dynamic optimization of multiple process parameters during the charge forming process of DNAN-based aluminum-containing melt-cast explosive.Compared with the traditional method,the optimal process parameters under the current process conditions can be fast obtained,and the charge quality significantly improves after the optimization of process parameters.
作者
李全俊
杨治林
岳显
郭进勇
李昂
LI Quanjun;YANG Zhilin;YUE Xian;GUO Jinyong;LI Ang(Automation Research Institute,China South Industries Group Co.,Ltd.,Mianyang 621000,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2023年第5期125-132,共8页
Journal of Ordnance Equipment Engineering
基金
国防基础科研计划重点项目
基础加强计划重点基础研究项目。
关键词
熔铸
装药成型
参数优化
战斗部
melting and casting
charge molding
parameter optimization
warhead
