Defence Technology(防务技术)最新文献_第7页

Enhancing safety performance of initiating explosive devices via 3D printed VO2 film based on metal-insulator transition 基于金属-绝缘子过渡的3D打印VO2膜提高起爆装置安全性能

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.010

Yingke Chang , Pengtao Cheng , Zhe Kong , Jianxin Nie , Wei Ren , Xiaohui Liang , Enyi Chu , Qingjie Jiao , Jianjun Luo

Initiating explosive devices (IEDs) are crucial in both military and civilian applications for improving the accuracy of controlled detonations. However, the safety of semiconductor bridge (SCB) wire IEDs, which are the most widely used, is increasingly threatened by complex electromagnetic environments. Although protective devices such as thermistors and zener diodes are commonly employed to enhance safety, traditional discrete components can compromise compactness and provide only marginal improvements. The metal-insulator transition properties of vanadium dioxide (VO₂) present an innovative approach to enhancing the safety performance of IEDs. Nevertheless, the functional relevance of the VO₂ phase transition in relation to IEDs has garnered limited scientific attention. The VO₂ film fabricated via 3D printing demonstrated resistivity modulation ranging from 2 to 5 orders of magnitude, achieving a stable metallic-state resistance of 1.2 Ω. The results show that this process increases the 5-min safe current threshold by 90%, from 1 A to 1.9 A, and reduces the temperature generated by the current by approximately 40% when below the safe current threshold. Integrating VO₂ film into IEDs via semiconductor processes significantly enhances safety performance while maintaining detonation capability, demonstrating its effectiveness as a safety modulator in pyrotechnic engineering.

起爆装置（ied）在军事和民用应用中都是提高控制爆炸精度的关键。然而，作为应用最广泛的半导体桥式导线爆炸装置，其安全性日益受到复杂电磁环境的威胁。虽然通常采用热敏电阻和齐纳二极管等保护装置来提高安全性，但传统的分立元件可能会损害紧凑性，并且只能提供微小的改进。二氧化钒（VO2）的金属-绝缘体过渡特性为提高ied的安全性能提供了一种创新途径。然而，与ied相关的VO2相变的功能相关性已经获得了有限的科学关注。通过3D打印制备的VO2薄膜的电阻率调制范围为2到5个数量级，实现了稳定的金属态电阻1.2 Ω。结果表明，该工艺将5 min安全电流阈值从1 A提高到1.9 A，提高了90%，并且在低于安全电流阈值时，电流产生的温度降低了约40%。通过半导体工艺将VO2薄膜集成到ied中，在保持爆轰能力的同时显著提高了安全性能，证明了其作为烟火工程安全调制器的有效性。

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引用次数: 0

Unraveling the structure-activity relationship of triazine-fused energetic molecules: Targeted performance modulation through substituent effects 揭示三嗪融合高能分子的构效关系：通过取代基效应进行定向性能调节

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.06.003

Ziwu Cai, Tianyu Jiang, Wei Guo, Yunhe Jin, Wenquan Zhang

This study preliminarily investigates the structure-activity relationships of novel [5,6]-fused ring energetic materials derived from the 6-nitro-7-azido-pyrazol [3,4-d][1,2,3]triazine 2-oxide (ICM-103) skeleton, emphasizing the role of functional group substitution in tailoring key properties such as detonation performance and mechanical sensitivity. Strategic incorporation of nitrogen-rich substituents (e.g., hydrazine, guanidine) into the 1,2,3-triazine 2-oxide framework yielded compounds with diverse performance characteristics. Notably, compound 2 demonstrates energy performance (D = 8916 m·s⁻¹ and P = 36.80 GPa) comparable to RDX, yet with lower mechanical sensitivity (IS = 37 J). Theoretical calculations show that the properties of the substituents themselves and their coupling with the molecular skeleton jointly determine the key properties of the target molecules. This study provides a framework for the customized design of energetic materials by linking the chemical properties of substituents with the performance parameters of target molecules. These findings highlight the potential of local molecular structural modification driven by structure-activity relationship analysis in promoting the development of next-generation energetic materials and lay a solid foundation for future research in this field.

本研究初步探讨了由6-硝基-7-叠氮-吡唑[3,4-d][1,2,3]三嗪2-氧化物（ICM-103）骨架衍生的新型[5,6]-融合环含能材料的构效关系，强调了官能团取代在调整爆轰性能和机械灵敏度等关键性能中的作用。在1,2,3-三嗪- 2-氧化物框架中战略性地加入富氮取代基（如肼、胍）产生了具有不同性能特征的化合物。值得注意的是，化合物2的能量性能（D = 8916 m·s−1,P = 36.80 GPa）与RDX相当，但机械灵敏度（IS = 37 J）较低。理论计算表明，取代基本身的性质及其与分子骨架的耦合共同决定了目标分子的关键性质。该研究通过将取代基的化学性质与目标分子的性能参数联系起来，为含能材料的定制设计提供了一个框架。这些发现突出了结构-活性关系分析驱动的局部分子结构修饰在促进下一代含能材料发展方面的潜力，为该领域的进一步研究奠定了坚实的基础。

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引用次数: 0

In situ 3D characterization of impact-extruded ignition and reaction growth behavior of a ductile energetic material 一种延性含能材料冲击挤压点火和反应生长行为的原位三维表征

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.011

Junjie Wen , Yi Wu , Yingnan Fan , Yu Wang , Yingchun Wu , Junyu Huang , Xiao Hou

In this study, the modified split Hopkinson pressure bar (SHPB) system, complemented by synchronized high-speed holography and direct shooting imaging techniques, was employed to investigate the impact-induced mechanical, ignition and reaction growth behavior of high-ductility composite energetic materials (CEMs). The experiments were performed over a large range of strain rate conditions of 3,000–6,000 s⁻¹ for samples containing different components of solid explosive granules. The strain-stress relationships, onset of ignition and reaction growth in impact-induced debris clouds were quantitatively studied. The results show that ignition was a result of compression and deformation, triggered significantly by the effects of shear extrusion friction. The critical strain rate of ignition was approximately 4,000–5,000 s⁻¹. The average particle size inside the debris before and after ignition ranges from 41.3 to 49.5 μm. The particle quantity and size produced by the impact of the CEM increase as the strain rate increases. The sustainability of the ignition, or its rapid quenching, was tightly correlated with the size and density of the impact-induced debris cloud. For high-strain rate impacts, denser debris clouds were produced, which effectively favors the sustaining and propagation of the initial ignition core. The results provide valuable insights for establishing the criteria of the impact induced reaction growth and enhancing the safety and reliability of high-ductility energetic materials used in aerospace and national defense applications.

在本研究中，采用改进的分离式霍普金森压杆（SHPB）系统，辅以同步高速全息和直接拍摄成像技术，研究了高延性复合含能材料（CEMs）的冲击诱导力学行为、着火行为和反应生长行为。实验在3000 - 6000 s−1的应变速率条件下进行，样品中含有不同成分的固体爆炸颗粒。定量研究了撞击诱导碎片云的应变-应力关系、着火起始和反应生长。结果表明，燃烧是由压缩和变形引起的，而剪切挤压摩擦的作用是引起燃烧的主要原因。点火临界应变速率约为4000 ~ 5000 s−1。燃烧前后碎屑内部的平均粒径范围为41.3 ~ 49.5 μm。随着应变速率的增加，CEM冲击产生的颗粒数量和尺寸增加。点火的可持续性，或其快速熄灭，与撞击引起的碎片云的大小和密度密切相关。对于高应变速率的撞击，产生更密集的碎片云，这有效地有利于初始点火核心的维持和传播。研究结果为建立冲击诱导反应生长的标准，提高航空航天和国防用高延性含能材料的安全性和可靠性提供了有价值的见解。

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引用次数: 0

Overview of research on intelligent swarm munitions 智能蜂群弹药研究综述

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2024.08.017

Guannan Chang , Wenxing Fu , Junmin Zhao , Jinping Li , Haochun Miao , Xiaofeng Zhang , Peng Dong

This article started with an overview of the current technological status and engineering developments in the field of swarm munitions. It first introduced swarm behaviors and related swarm algorithms, and then provided a comprehensive summary of the research progress in the field of swarm munitions from four aspects: Collaborative perception and detection, collaborative positioning and navigation, task allocation for swarms, and path planning for swarms. In summary, future developments in collaborative perception, planning, positioning, navigation, and decision-making for swarm munitions will trend towards intelligence, adaptability, and collaboration. It can enable swarm munitions to be better adapted to complex and dynamic battlefields, improving operational effectiveness and mission capabilities.

本文首先概述了当前蜂群弹药领域的技术现状和工程发展。首先介绍了群体行为及相关的群体算法，然后从协同感知与探测、协同定位与导航、群体任务分配、群体路径规划四个方面对群体弹药领域的研究进展进行了全面总结。总之，群弹药的协同感知、规划、定位、导航和决策的未来发展将趋向于智能化、适应性和协作。它可以使群弹药更好地适应复杂和动态的战场，提高作战效率和任务能力。

引用次数: 0

A novel trajectory prediction method for UAV air combat based on QCNet-3D 基于QCNet-3D的无人机空战弹道预测新方法

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.007

Jiahui Zhang, Zhijun Meng, Siyuan Liu, Jiachi Ji, Jiazheng He

Unmanned Aerial Vehicle (UAV) trajectory prediction is an important research topic in the field of UAV air combat. In order to address the problem of single-feature extraction scale and scene adaptability in UAV air combat trajectory prediction algorithms, this paper proposes an innovative UAV trajectory prediction method QCNet-3D, which can predict the future trajectory of the target UAV and provide the corresponding possibility. Firstly, the UAV trajectory prediction is modeled based on the mixture of Laplace distributions, and the UAV's kinetic equations are employed to construct the UAV trajectory prediction dataset (UAVTP dataset), ensuring high reliability. Secondly, two improvement methods are proposed on the basis of QCNet: multi-scale Fourier mapping and three-dimensional adaptation. The ablation study shows that the improvement methods have reduced the minimum average displacement error, minimum final displacement error, and missing rate by 55.4%, 54.3%, and 68.1% respectively. Finally, QCNet-3D is proposed based on the two improvement methods, and the simulation experiment confirm the proposed algorithm's capability to predict both simple and complex UAV maneuvers, offering the possibility for each predicted trajectory under various prediction future steps and output modes.

无人机飞行轨迹预测是无人机空战领域的一个重要研究课题。针对无人机空战弹道预测算法中单一特征提取规模和场景适应性不足的问题，本文提出了一种创新的无人机弹道预测方法QCNet-3D，该方法能够预测目标无人机未来的弹道并提供相应的可能性。首先，基于混合拉普拉斯分布对无人机轨迹预测建模，利用无人机动力学方程构建无人机轨迹预测数据集（UAVTP数据集），保证了无人机的高可靠性；其次，在QCNet的基础上提出了两种改进方法：多尺度傅里叶映射和三维自适应。烧蚀实验表明，改进后的最小平均位移误差、最小最终位移误差和缺失率分别降低了55.4%、54.3%和68.1%。最后，基于这两种改进方法提出了QCNet-3D算法，仿真实验验证了所提算法对简单和复杂无人机机动的预测能力，为不同预测未来步长和输出模式下的每种预测轨迹提供了可能性。

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引用次数: 0

Human experience-guided reinforcement learning for carrier-based aircraft support operation scheduling 基于人类经验引导的舰载机保障调度强化学习

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.016

Xudong Chen , Yizhe Luo , Qihang Sun , Wenxiao Guo , Zhao Jin , Shuo Feng , Yucheng Shi , Mingliang Xu

The efficiency of carrier-based aircraft support operation scheduling critically impacts aircraft carrier operational effectiveness by determining sortie generation rates, yet faces significant challenges in complex deck environments characterized by resource coupling, dynamic constraints, and high-dimensional state-action spaces. Traditional optimization algorithms and vanilla reinforcement learning (RL) struggle with computational inefficiency, sparse rewards, and adaptability to dynamic scenarios, while human expert systems are constrained by the quality of expert knowledge, and poor expert guidance may even have a negative impact. To address these limitations, this paper proposes a human experience-guided actor-critic reinforcement learning framework that synergizes domain expertise with adaptive learning. First, a dynamic Markov decision process (MDP) model is developed to rigorously simulate carrier deck operations, explicitly encoding constraints on positions, resources, and collision avoidance. Building upon this foundation, a human experience database is constructed to enable real-time pattern-matching-based intervention during agent-environment interactions, dynamically correcting wrong actions to avoid catastrophic states while refining exploration efficiency. Finally, the policy and value network objectives are reshaped to incorporate human intent through hybrid reward functions and adaptive guidance weighting, ensuring balanced integration of expert knowledge with RL's exploration capabilities. Extensive simulations across three scenarios demonstrate superior performance compared to state-of-the-art methods and maintain robustness under suboptimal human guidance. These results validate the framework's ability to harmonize human expertise with adaptive learning, offering a practical solution for real-world carriers.

舰载机保障调度的效率通过决定出动架次生成率对航母作战效能产生重大影响，但在资源耦合、动态约束和高维状态-行动空间等复杂甲板环境中面临重大挑战。传统的优化算法和香草强化学习（RL）努力解决计算效率低下、奖励稀疏和对动态场景的适应性等问题，而人类专家系统受到专家知识质量的限制，糟糕的专家指导甚至可能产生负面影响。为了解决这些限制，本文提出了一个人类经验引导的行为者-评论家强化学习框架，该框架将领域专业知识与自适应学习协同起来。首先，开发了动态马尔可夫决策过程（MDP）模型，严格模拟航母甲板操作，明确编码位置、资源和避碰约束。在此基础上，构建了一个人类经验数据库，以便在智能体与环境交互期间实现基于模式匹配的实时干预，动态纠正错误行为以避免灾难性状态，同时提高勘探效率。最后，通过混合奖励功能和自适应引导权重，重塑政策和价值网络目标，以融入人类意图，确保专家知识与强化学习的探索能力的平衡整合。与最先进的方法相比，三种场景的广泛模拟显示了优越的性能，并在次优人类指导下保持了鲁棒性。这些结果验证了该框架协调人类专业知识与自适应学习的能力，为现实世界的运营商提供了实用的解决方案。

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引用次数: 0

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints 复杂约束下异构无人机协同任务分配的能量学习超启发式算法

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.06.006

Mengshun Yuan, Mou Chen, Tongle Zhou, Zengliang Han

Cooperative task assignment is one of the key research focuses in the field of unmanned aerial vehicles (UAVs). In this paper, an energy learning hyper-heuristic (EL-HH) algorithm is proposed to address the cooperative task assignment problem of heterogeneous UAVs under complex constraints. First, a mathematical model is designed to define the scenario, complex constraints, and objective function of the problem. Then, the scheme encoding, the EL-HH strategy, multiple optimization operators, and the task sequence and time adjustment strategies are designed in the EL-HH algorithm. The scheme encoding is designed with three layers: task sequence, UAV sequence, and waiting time. The EL-HH strategy applies an energy learning method to adaptively adjust the energies of operators, thereby facilitating the selection and application of operators. Multiple optimization operators can update schemes in different ways, enabling the algorithm to fully explore the solution space. Afterward, the task order and time adjustment strategies are designed to adjust task order and insert waiting time. Through the iterative optimization process, a satisfactory assignment scheme is ultimately produced. Finally, simulation and experiment verify the effectiveness of the proposed algorithm.

协同任务分配是无人机领域的研究热点之一。针对复杂约束条件下异构无人机的协同任务分配问题，提出了一种能量学习超启发式（EL-HH）算法。首先，设计数学模型来定义问题的场景、复杂约束和目标函数。然后，在EL-HH算法中设计了方案编码、EL-HH策略、多优化算子以及任务序列和时间调整策略。方案编码分为任务序列、无人机序列和等待时间三层。EL-HH策略采用能量学习方法自适应调整算子的能量，从而方便算子的选择和应用。多个优化算子可以以不同的方式更新方案，使算法能够充分探索解空间。然后，设计任务顺序和时间调整策略，调整任务顺序，插入等待时间。通过迭代优化过程，最终得到满意的分配方案。最后，通过仿真和实验验证了该算法的有效性。

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引用次数: 0

Analytical model of the perforation process of spherical-nosed projectiles impacting finite-thickness metal plates 球头弹丸冲击有限厚度金属板穿孔过程的分析模型

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.018

Yiding Wu, Wencheng Lu, Minghui Ma, Yilei Yu, Xinyi Sun, Guangfa Gao

This study presents a theoretical analysis of the perforation process of finite-thickness metal plates (with a thickness ratio of T₀/D = 0.6–1.5) under normal impact by spherical-nosed projectiles. The model is validated over an impact velocity range of 180–1247 m/s. The entire penetration process is divided into three stages: the crater formation stage, the steady stage, and the shear stage. A thickness-dependent dynamic cavity expansion resistance model is first introduced to quantitatively describe the axial resistance experienced by the projectile during the tip-entry and steady stages. Subsequently, a thickness-related damage parameter is proposed to refine the resistance expression during the transition from the steady stage to the shear stage, thereby eliminating discontinuities in resistance across stages. When the projectile fully perforates the target, the model predicts a gradual decay of resistance to zero as the residual ligament thickness vanishes, which better reflects the actual physical behavior. The model is validated using four sets of experimental conditions. In addition, to illustrate the model's applicability more intuitively, a numerical simulation case from the literature is reproduced, and the resulting resistance-time curve is compared with the model output. The results demonstrate that the proposed model agrees well with experimental data in terms of residual velocity, ballistic limit, and penetration resistance. Finally, a method for adjusting the threshold parameter within the resistance function is provided, and the influence of this coefficient on the model predictions is discussed.

本研究对有限厚度金属板（厚度比T0/D = 0.6 ~ 1.5）在球头弹丸法向冲击下的穿孔过程进行了理论分析。在180 - 1247m /s的冲击速度范围内对模型进行了验证。整个侵彻过程分为三个阶段：成坑阶段、稳定阶段和剪切阶段。首先建立了一种随厚度变化的动态空腔膨胀阻力模型，定量描述了弹丸在尖端进入和稳定阶段所经历的轴向阻力。随后，提出了一个与厚度相关的损伤参数，以细化从稳定阶段过渡到剪切阶段的阻力表达式，从而消除了阶段间阻力的不连续。当弹丸完全穿靶时，模型预测随着残余韧带厚度的消失，阻力逐渐衰减为零，更能反映实际物理行为。采用四组实验条件对模型进行了验证。此外，为了更直观地说明模型的适用性，本文重现了文献中的一个数值模拟案例，并将所得电阻-时间曲线与模型输出进行了比较。结果表明，该模型在残余速度、弹道极限和侵彻阻力等方面与实验数据吻合较好。最后，给出了在阻力函数内调整阈值参数的方法，并讨论了该系数对模型预测的影响。

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引用次数: 0

Numerical investigation of the propagation characteristics of H2-F2-Air fueled rotating detonation waves h2 - f2 -空气燃料旋转爆震波传播特性的数值研究

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.04.022

Xinzhe Jiang, Baoxing Li, Yanjing Yang, Jianming Yang, Xiaohong Zhang

The incorporation of fluorine (F₂) into hydrogen-air (H₂/Air) mixtures presents a novel approach to enhancing the performance of rotating detonation engines (RDEs). This study systematically investigates the effects of F₂ concentration and inlet mass flow rate on rotating detonation wave (RDW) propagation using two-dimensional numerical simulations, providing the first comprehensive analysis of F₂ as an oxidizing additive in regulating detonation performance, propagation stability, and heat release dynamics in RDEs. The results indicate that when F₂ concentration is below 1%, the flow field primarily exhibits a stable single-wave propagation mode. As F₂ concentration increases, RDW performance initially improves but then deteriorates, reaching its optimal state at 0.8% F₂. When F₂ concentration exceeds 1%, the coupled effects of F₂ concentration and inlet mass flow rate induce a transition from single-wave to multi-wave propagation modes. While a higher inlet mass flow rate promotes increased wave numbers, it also intensifies wave-wave interactions. With further increases in F₂ concentration, the enhanced heat release leads to intensified local deflagration, frequent hotspot formation, and wave collisions, ultimately degrading RDW performance and destabilizing the multi-wave flow field. Moreover, excessive HF formation is identified as a critical driver of enhanced deflagration, hotspot generation, and the disruption of multi-wave stability. These findings provide a theoretical foundation for integrating F₂ additives into H₂/Air-based RDE systems.

将氟（F2）加入到氢-空气（H2/Air）混合物中，为提高旋转爆震发动机（RDEs）的性能提供了一种新的方法。本研究通过二维数值模拟系统地研究了F2浓度和进口质量流量对旋转爆震波（RDW）传播的影响，首次全面分析了F2作为氧化添加剂对旋转爆震波（RDW）爆轰性能、传播稳定性和热释放动力学的调节作用。结果表明：当F2浓度低于1%时，流场主要表现为稳定的单波传播模式；随着F2浓度的增加，RDW性能先提高后下降，在F2浓度为0.8%时达到最佳状态。当F2浓度超过1%时，F2浓度与进口质量流量的耦合作用导致其传播模式由单波向多波转变。较高的进口质量流量促进了波数的增加，同时也加剧了波与波的相互作用。随着F2浓度的进一步增加，放热增强导致局部爆燃加剧，热点形成频繁，波浪碰撞频繁，最终降低RDW性能，破坏多波流场的稳定。此外，过量HF的形成被认为是爆燃增强、热点产生和多波稳定性破坏的关键驱动因素。这些研究结果为将F2添加剂整合到H2/ air基RDE体系中提供了理论基础。

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引用次数: 0

Electric explosion characteristics of multi-point series explosion foil initiator 多点串联爆炸箔起爆器的电爆炸特性

IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Defence Technology(防务技术)

Pub Date : 2025-12-01 DOI: 10.1016/j.dt.2025.07.023

Zheng Ning , Lirong Bao , Ang Li , Songmao Zhao , Zeyu Cheng , Peng Zhu , Ruiqi Shen

Investigating the characteristics of synchronous electrical explosions of multiple exploding foil initiators (EFI) in the same circuit, a four-point series-connected EFI circuit utilizing flexible flat cables was designed to analyze the electrical explosion characteristics. Loop current and terminal voltages of each EFI were recorded to characterize the multi-point series-connected EFI explosion. The effects of voltage, capacitance, and loop length on the response time, energy deposition, and energy utilization efficiency of the multi-point series-connected EFI were explored. Based on the FIRESET model, a mathematical model for the multi-point series-connected EFI explosion was developed, and the influence of initial resistivity on the peak voltage during electrical explosion was quantitatively analyzed. Results indicate that the primary factor influencing the response time is the conduction performance of the switch, while the synchronization deviation is minimally affected by variations in voltage and capacitance. At an inter-electrode spacing of 50 mm, within the voltage range of 1,500–3,000 V and capacitance range of 0.22–1.5 μF, the minimum and maximum synchronization deviations of the four-point EFI were 2 ns and 11 ns, respectively. As input energy increases, the deposited energy of the EFI rises, but the overall energy utilization efficiency decreases. The computational results of the proposed model align well with the experimental data. Furthermore, higher initial resistivity in the series-connected circuit corresponds to a higher peak voltage during electrical explosion. This work elucidates the characteristics of multi-point series-connected EFI explosions, offering valuable insights for the design of multi-point EFI circuits.

为研究同一电路中多个爆炸箔起爆器的同步电爆炸特性，设计了一种采用柔性扁平电缆的四点串联电喷电路，分析其电爆炸特性。记录每个电喷器的回路电流和端子电压，以表征多点串联电喷爆炸。探讨了电压、电容和回路长度对多点串联电喷系统的响应时间、能量沉积和能量利用效率的影响。基于FIRESET模型，建立了多点串联电喷爆炸的数学模型，定量分析了电爆炸时初始电阻率对峰值电压的影响。结果表明，影响同步时间的主要因素是开关的导通性能，而同步偏差受电压和电容变化的影响最小。当电极间距为50 mm，电压范围为1500 ~ 3000 V，电容范围为0.22 ~ 1.5 μF时，四点式电喷的同步偏差最小为2 ns，最大为11 ns。随着输入能量的增加，电喷系统的沉积能量增加，但整体能量利用效率降低。该模型的计算结果与实验数据吻合较好。此外，串联电路中较高的初始电阻率对应于电爆炸时较高的峰值电压。本工作阐明了多点串联电喷爆炸的特点，为多点电喷电路的设计提供了有价值的见解。

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引用次数: 0