Design Methods of Micro-explosive Trains for Miniaturized Fuze based on Design Constraints of Dimension Chains

Hengzhen FENG; Yi LU; Zhipeng LI; Mingyu LI; Wenzhong LOU; Dongjie LIAO; Bo HE

doi:10.12382/bgxb.2025.1001

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Design Methods of Micro-explosive Trains for Miniaturized Fuze based on Design Constraints of Dimension Chains

更新时间：2026-02-10

- Design Methods of Micro-explosive Trains for Miniaturized Fuze based on Design Constraints of Dimension Chains
- Acta Armamentarii Vol. 46, Issue S2, Pages: 251001(2025)
- 作者机构：
  
  1. 北京理工大学机电学院, 北京 100081
  2. 北京理工大学机电动态控制重点实验室, 北京市 100081
  3. 北京航天长征飞行器研究所, 北京 100076
  4. 西南技术工程研究所, 重庆 400039
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2025.1001
  CLC：
- Received：12 November 2025，
  
  Online First：03 February 2026，
  
  Published：2025
- 稿件说明：
移动端阅览
Hengzhen FENG, Yi LU, Zhipeng LI, et al. Design Methods of Micro-explosive Trains for Miniaturized Fuze based on Design Constraints of Dimension Chains[J]. Acta Armamentarii, 2025, 46(S2): 251001.
DOI：

Hengzhen FENG, Yi LU, Zhipeng LI, et al. Design Methods of Micro-explosive Trains for Miniaturized Fuze based on Design Constraints of Dimension Chains[J]. Acta Armamentarii, 2025, 46(S2): 251001. DOI： 10.12382/bgxb.2025.1001.

摘要

微装药可靠传爆是制约引信小型化的关键因素。基于微装药在爆炸序列内的多层装配关系

重点构建由公差-成本约束的起爆层-多支撑层-下级装药层耦合的装配封闭尺寸链模型

建立传爆孔梯度递增准则-尺寸公差

#x00026;加工精度约束-成本

#x00026;公差约束-尺寸链公差设计评价准则为控制闭环的自适应精英引导混合遗传算法(Adaptive Elite-Guided Hybrid Genetic Algorithm

AEGH-GA)

经参数优化

试验结果表明

药量为1.22mg (

1.7mm

#x000D7;1mm)的Pb(N3)2 药柱能够可靠起爆 21.5mg (

2.4

#x000D7;3mm)的 HNS-

#x02163; 药柱

并使其完全爆轰。最终形成爆炸序列装配尺寸链在传爆孔贯通率优于99.999%的条件下优于成本为56.5的最优公差设计策略

为微装药能量传递可靠性提升奠定了基础。

Abstract

The reliable transmission of detonation from micro-charges remains a critical challenge in fuze miniaturization.To address this issue

a closed assembly dimension chain model with an initiation layer

multiple support layers and a pedestal layer is developed based on the multi-layer assembly architecture of micro-charges in the explosive train.The model is constrained by both dimensional tolerance and manufacturing cost.An adaptive elite-guided hybrid genetic algorithm (AEGH-GA) with a feedback control loop is proposed

which incorporates the booster hole gradient increment criterion

dimensional tolerance-machining accuracy constraints

cost-tolerance constraints

and evaluation criteria for dimensional chain tolerance design.Through parameter optimization

the algorithm enables 1.22mg Pb(N

)

(design dimensions:

1.7

#x000D7;1mm) to reliably initiate and complete detonation of a 21.5mg HNS-IV charge (design dimensions:

2.4

#x000D7;3mm) and make it undergo a complete detonationit undergo a complete detonation.The resulting optimal tolerance design for the assembly dimension chain ensures a booster hole penetration rate exceeding 99.999% with a cost lower than 56.5

thereby establishing a robust foundation for enhancing the reliability of energy transmission in micro-charge systems.

关键词

Keywords

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