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

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_3)_2 (design dimensions: Ø 1.7×1mm) to reliably initiate and complete detonation of a 21.5mg HNS-IV charge (design dimensions: Ø 2.4×3mm) and make it undergo a complete detonation 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.