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Effect of Al-Li alloy with various Li content on the energy and combustion performance of HTPB propellant 不同Li含量Al-Li合金对HTPB推进剂能量和燃烧性能的影响
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.07.029
Weiqiang Xiong , Yunjie Liu , Tianfu Zhang , Dawen Zeng , Xiang Guo , Aimin Pang
In composite solid propellants with high aluminum (Al) content and low burning rate, incomplete combustion of the Al powder may occur. In this study, varying lithium (Li) content in Al-Li alloy powder was utilized instead of pure aluminum particles to mitigate agglomeration and enhance the combustion efficiency of solid propellants (Combustion efficiency herein refers to the completeness of metallic fuel oxidation, quantified as the ratio of actual-to-theoretical energy released during combustion) with high Al content and low burning rates. The impact of Al-Li alloy with different Li contents on combustion and agglomeration of solid propellant was investigated using explosion heat, combustion heat, differential thermal analysis (DTA), thermos-gravimetric analysis (TG), dynamic high-pressure combustion test, ignition experiment of small solid rocket motor (SRM) tests, condensation combustion product collection, and X-ray diffraction techniques (XRD). Compared with pure Al, Al-Li alloys exhibit higher combustion heat, which contributes to improved combustion efficiency in Al-Li alloy-containing propellants. DTA and TG analyses demonstrated higher reactivity and lower ignition temperatures for Al-Li alloys. High-pressure combustion experiments at 5 MPa showed that Al-Li alloy fuel significantly decreases combustion agglomeration. The results from the Ø75 mm and Ø165 mm SRM and XRD tests further support this finding. This study provides novel insights into the combustion and agglomeration behaviors of high-Al, low-burning-rate composite solid propellants and supports the potential application of Al-Li alloys in advanced propellant formulations.
在高铝(Al)含量和低燃烧速率的复合固体推进剂中,会出现Al粉不完全燃烧的情况。本研究利用Al-Li合金粉末中不同含量的锂来代替纯铝颗粒,在高铝含量、低燃速的情况下减轻固体推进剂的团聚,提高固体推进剂的燃烧效率(燃烧效率指金属燃料氧化的完成程度,量化为燃烧过程中释放的实际能量与理论能量之比)。采用爆炸热、燃烧热、差热分析(DTA)、热重分析(TG)、动态高压燃烧试验、小型固体火箭发动机点火试验、冷凝燃烧产物收集、x射线衍射技术(XRD)等研究了不同Li含量Al-Li合金对固体推进剂燃烧和团聚的影响。与纯Al相比,Al- li合金具有更高的燃烧热,这有助于提高含Al- li合金推进剂的燃烧效率。差热分析和热重分析表明,铝锂合金具有较高的反应性和较低的点火温度。5 MPa高压燃烧实验表明,Al-Li合金燃料显著降低了燃烧结块。Ø75 mm和Ø165 mm的SRM和XRD测试结果进一步支持了这一发现。该研究为高铝低燃率复合固体推进剂的燃烧和团聚行为提供了新的见解,并支持了铝锂合金在先进推进剂配方中的潜在应用。
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引用次数: 0
Inverse design framework of hybrid honeycomb structure with high impact resistance based on active learning 基于主动学习的高抗冲击混合蜂窝结构反设计框架
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.04.009
Xingyu Shen , Ke Yan , Difeng Zhu , Hao Wu , Shijun Luo , Shaobo Qi , Mengqi Yuan , Xinming Qian
In this study, an inverse design framework was established to find lightweight honeycomb structures (HCSs) with high impact resistance. The hybrid HCS, composed of re-entrant (RE) and elliptical annular re-entrant (EARE) honeycomb cells, was created by constructing arrangement matrices to achieve structural lightweight. The machine learning (ML) framework consisted of a neural network (NN) forward regression model for predicting impact resistance and a multi-objective optimization algorithm for generating high-performance designs. The surrogate of the local design space was initially realized by establishing the NN in the small sample dataset, and the active learning strategy was used to continuously extended the local optimal design until the model converged in the global space. The results indicated that the active learning strategy significantly improved the inference capability of the NN model in unknown design domains. By guiding the iteration direction of the optimization algorithm, lightweight designs with high impact resistance were identified. The energy absorption capacity of the optimal design reached 94.98% of the EARE honeycomb, while the initial peak stress and mass decreased by 28.85% and 19.91%, respectively. Furthermore, Shapley Additive Explanations (SHAP) for global explanation of the NN indicated a strong correlation between the arrangement mode of HCS and its impact resistance. By reducing the stiffness of the cells at the top boundary of the structure, the initial impact damage sustained by the structure can be significantly improved. Overall, this study proposed a general lightweight design method for array structures under impact loads, which is beneficial for the widespread application of honeycomb-based protective structures.
在这项研究中,建立了一个反设计框架,以寻找具有高抗冲击性的轻质蜂窝结构(HCSs)。通过构建排列矩阵实现结构轻量化,构建了由重入式(RE)和椭圆环形重入式(EARE)蜂窝单元组成的复合型HCS。机器学习(ML)框架由用于预测抗冲击性的神经网络(NN)前向回归模型和用于生成高性能设计的多目标优化算法组成。通过在小样本数据集中建立神经网络,初步实现局部设计空间的代理,并采用主动学习策略不断扩展局部最优设计,直到模型收敛到全局空间。结果表明,主动学习策略显著提高了神经网络模型在未知设计域的推理能力。通过指导优化算法的迭代方向,确定了具有高抗冲击性的轻量化设计。优化设计后的蜂窝吸能能力达到EARE蜂窝的94.98%,初始峰值应力和质量分别降低了28.85%和19.91%。此外,对神经网络进行全局解释的Shapley加性解释(SHAP)表明,HCS的排列方式与其抗冲击性之间存在很强的相关性。通过降低结构顶边界单元的刚度,可以显著改善结构承受的初始冲击损伤。总体而言,本研究提出了一种冲击载荷下阵列结构的通用轻量化设计方法,有利于蜂窝式防护结构的广泛应用。
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引用次数: 0
Enhanced hydrophobicity and photosensitivity of DATNBI/alginate films via ionic cross-linking for near-infrared laser ignition 通过离子交联增强近红外激光点火DATNBI/海藻酸盐膜的疏水性和光敏性
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.07.027
Ping Ye , Weimiao Wang , Xiaodong Li , Zhiqiang Qiao , Changping Guo , Jinjin He , Xu Zhou , Rui Li , Guangcheng Yang , Guoqing Lv
Based on the characteristics of laser-induced surface ignition, energetic photosensitive films show promising potential to meet the ignition requirements of various energetic materials (EMs). In this study, DATNBI/ferric alginate (DI/FeA), DI/cobalt alginate (DI/CoA), and DI/nickel alginate (DI/NiA) films are fabricated by employing sodium alginate (SA) with a three-dimensional network structure as the film matrix, via ionic cross-linking of SA with Fe3+, Co2+, and Ni2+ ions. The study demonstrates that the ionic cross-linking enhances the hydrophobic performance of the films, with the water contact angle increasing from 82.1° to 123.5°. Concurrently, the films' near-infrared (NIR) light absorption improved. Furthermore, transition metal ions facilitate accelerated electron transfer, thereby catalyzing the thermal decomposition of DATNBI. Under 1064 nm laser irradiation, the DI/FeA film exhibits exceptional combustion performance, with an ignition delay time as low as 76 ms. It successfully acts as an NIR laser ignition medium to initiate the self-sustained combustion of CL-20. This study demonstrates the synergistic realization of enhanced hydrophobicity, improved photosensitivity, and promoted catalytic decomposition through microstructural design of the material, providing new insights for the design of additive-free EMs in laser ignition applications.
基于激光诱导表面点火的特性,高能光敏膜在满足各种含能材料的点火要求方面具有广阔的应用前景。本研究以具有三维网状结构的海藻酸钠(SA)为膜基体,通过SA与Fe3+、Co2+、Ni2+离子交联制备了DATNBI/藻酸铁(DI/FeA)、DI/藻酸钴(DI/CoA)、DI/藻酸镍(DI/NiA)薄膜。研究表明,离子交联提高了膜的疏水性能,水接触角从82.1°增加到123.5°。同时,薄膜的近红外(NIR)光吸收得到了改善。此外,过渡金属离子促进加速电子转移,从而催化DATNBI的热分解。在1064 nm激光照射下,DI/FeA薄膜表现出优异的燃烧性能,点火延迟时间低至76 ms。它成功地作为近红外激光点火介质启动CL-20的自燃。本研究通过材料的微观结构设计,证明了增强疏水性、提高光敏性和促进催化分解的协同实现,为激光点火应用中无添加剂EMs的设计提供了新的见解。
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引用次数: 0
A high-energy powder with excellent combustion reaction performance: Surface modification strategy of boron powder based on non-thermal plasma 一种具有优异燃烧反应性能的高能粉末:基于非热等离子体的硼粉表面改性策略
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.07.031
Kangkang Li , Jianyong Xu , Xiaoting Lei , Mengzhe Yang , Jing Liu , Luqi Guo , Pengfei Cui , Dihua Ouyang , Chunpei Yu , He Cheng , Jiahai Ye , Wenchao Zhang
The presence of a surface oxide film (B2O3) on boron (B) particles significantly compromises their combustion efficiency and kinetic performance in fuel-rich solid propellants. This study proposes an innovative continuous modification strategy combining non-thermal plasma (NTP) etching with fluorocarbon passivation. Characterization and kinetic analysis revealed that reactive plasma species—including atomic hydrogen (H), electronically excited molecular hydrogen (H2∗), vibrationally excited molecular hydrogen (H2v), and hydrogen ions (H+)—dominate the reduction of B2O3 through lowering the transition energy barrier and shifting the reaction spontaneity. Subsequent argon plasma fragmentation of C8F18 generates fluorocarbon radicals that form conformal passivation coatings (thickness: 7 nm) on purified boron surfaces. The modified boron particles exhibit 37.5 °C lower exothermic peak temperature and 27.2% higher heat release (14.8 kJ/g vs. 11.6 kJ/g) compared to untreated counterparts. Combustion diagnostics reveal 194% increase in maximum flame height (135.10 mm vs. 46.03 mm) and 134% enhancement in flame propagation rate (4.44 cm/s vs. 1.90 cm/s). This NTP-based surface engineering approach establishes a scalable pathway for developing high-performance boron-based energetic composites.
硼(B)颗粒表面氧化膜(B2O3)的存在显著影响其在富燃料固体推进剂中的燃烧效率和动力学性能。本研究提出了一种将非热等离子体(NTP)蚀刻与氟碳钝化相结合的创新连续改性策略。表征和动力学分析表明,反应等离子体物质——包括原子氢(H)、电子激发分子氢(H2 *)、振动激发分子氢(H2v)和氢离子(H+)——通过降低跃迁能垒和改变反应自发性来主导B2O3的还原。随后,C8F18的氩等离子体碎裂产生氟碳自由基,在纯化的硼表面形成保形钝化涂层(厚度:7纳米)。与未处理的硼粒子相比,改性硼粒子的放热峰值温度降低了37.5℃,放热量增加了27.2% (14.8 kJ/g vs. 11.6 kJ/g)。燃烧诊断显示最大火焰高度增加194% (135.10 mm vs. 46.03 mm),火焰传播速率增加134% (4.44 cm/s vs. 1.90 cm/s)。这种基于ntp的表面工程方法为开发高性能硼基高能复合材料建立了一条可扩展的途径。
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引用次数: 0
Distributed robust data-driven event-triggered control for QUAVs under stochastic disturbances 随机扰动下quav的分布式鲁棒数据驱动事件触发控制
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.07.030
Chao Song , Hao Li , Bo Li , Jiacun Wang , Chunwei Tian
To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles (QUAVs) under random disturbances, this paper proposes a distributed anti-disturbance data-driven event-triggered fusion control method, which achieves efficient fault diagnosis while suppressing random disturbances and mitigating communication conflicts within the QUAV swarm. First, the impact of random disturbances on the UAV swarm is analyzed, and a model for orientation and attitude control of QUAVs under stochastic perturbations is established, with the disturbance gain threshold determined. Second, a fault diagnosis system based on a high-gain observer is designed, constructing a fault gain criterion by integrating orientation and attitude information from QUAVs. Subsequently, a model-free dynamic linearization-based data modeling (MFDLDM) framework is developed using model-free adaptive control, which efficiently fits the nonlinear control model of the QUAV swarm while reducing temporal constraints on control data. On this basis, this paper constructs a distributed data-driven event-triggered controller based on the staggered communication mechanism, which consists of an equivalent QUAV controller and an event-triggered controller, and is able to reduce the communication conflicts while suppressing the influence of random interference. Finally, by incorporating random disturbances into the controller, comparative experiments and physical validations are conducted on the QUAV platforms, fully demonstrating the strong adaptability and robustness of the proposed distributed event-triggered fault-tolerant control system.
针对四旋翼无人机在随机干扰下姿态姿态控制不稳定甚至失衡的问题,提出了一种分布式抗干扰数据驱动事件触发融合控制方法,在抑制随机干扰的同时,实现了高效的故障诊断,缓解了四旋翼无人机群内的通信冲突。首先,分析了随机扰动对无人机群的影响,建立了随机扰动下quav的姿态和方向控制模型,确定了扰动增益阈值。其次,设计了一种基于高增益观测器的故障诊断系统,通过综合自动飞行器的姿态和方向信息,构造了故障增益判据;在此基础上,利用无模型自适应控制,建立了基于无模型动态线性化的数据建模框架,有效地拟合了QUAV群的非线性控制模型,同时减少了控制数据的时间约束。在此基础上,本文构建了基于交错通信机制的分布式数据驱动事件触发控制器,该控制器由等效QUAV控制器和事件触发控制器组成,能够在抑制随机干扰影响的同时减少通信冲突。最后,通过将随机干扰引入控制器,在QUAV平台上进行了对比实验和物理验证,充分证明了所提出的分布式事件触发容错控制系统具有较强的适应性和鲁棒性。
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引用次数: 0
OSCJC: An open-set compound jamming cognition method for radar systems in high-intensity electromagnetic warfare 高强度电磁战中雷达系统的开集复合干扰认知方法
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.07.021
Kaixiang Zhang , Jiaxiang Zhang , Xinrui Han , Yilin Wang , Bo Wang , Quanhua Liu
In high-intensity electromagnetic warfare, radar systems are persistently subjected to multi-jammer attacks, including potentially novel unknown jamming types that may emerge exclusively under wartime conditions. These jamming signals severely degrade radar detection performance. Precise recognition of these unknown and compound jamming signals is critical to enhancing the anti-jamming capabilities and overall reliability of radar systems. To address this challenge, this article proposes a novel open-set compound jamming cognition (OSCJC) method. The proposed method employs a detection-classification dual-network architecture, which not only overcomes the false alarm and misdetection issues of traditional closed-set recognition methods when dealing with unknown jamming but also effectively addresses the performance bottleneck of existing open-set recognition techniques focusing on single jamming scenarios in compound jamming environments. To achieve unknown jamming detection, we first employ a consistency labeling strategy to train the detection network using diverse known jamming samples. This strategy enables the network to acquire highly generalizable jamming features, thereby accurately localizing candidate regions for individual jamming components within compound jamming. Subsequently, we introduce contrastive learning to optimize the classification network, significantly enhancing both intra-class clustering and inter-class separability in the jamming feature space. This method not only improves the recognition accuracy of the classification network for known jamming types but also enhances its sensitivity to unknown jamming types. Simulations and experimental data are used to verify the effectiveness of the proposed OSCJC method. Compared with the state-of-the-art open-set recognition methods, the proposed method demonstrates superior recognition accuracy and enhanced environmental adaptability.
在高强度电磁战中,雷达系统持续受到多干扰机攻击,包括可能只在战时出现的新型未知干扰类型。这些干扰信号严重降低了雷达探测性能。精确识别这些未知和复合干扰信号对于提高雷达系统的抗干扰能力和整体可靠性至关重要。为了解决这一问题,本文提出了一种新的开集复合干扰认知方法。该方法采用检测-分类双网络结构,不仅克服了传统闭集识别方法在处理未知干扰时的虚警和误检问题,而且有效地解决了现有开集识别技术在复合干扰环境下专注于单一干扰场景的性能瓶颈。为了实现未知干扰检测,我们首先采用一致性标记策略,使用不同的已知干扰样本来训练检测网络。该策略使网络能够获得高度一般化的干扰特征,从而精确定位复合干扰中单个干扰元件的候选区域。随后,我们引入对比学习对分类网络进行优化,显著提高了干扰特征空间的类内聚类和类间可分性。该方法不仅提高了分类网络对已知干扰类型的识别精度,而且提高了分类网络对未知干扰类型的灵敏度。仿真和实验数据验证了该方法的有效性。与现有的开集识别方法相比,该方法具有较好的识别精度和较强的环境适应性。
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引用次数: 0
MEMS gyroscope technology in defence systems: An application-oriented perspective with new analytical results MEMS陀螺仪技术在国防系统中的应用前景与新的分析结果
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.08.005
Behzad Ahi
Microelectromechanical systems (MEMS) technology has gained significant attention over the past decade for measuring inertial angular velocity. However, due to inherent complexity, MEMS gyroscopes typically feature up to ten times more parameters than traditional sensors, making selection a challenging task even for experts. This study addresses this challenge, focusing on defensive guidance, navigation, and control (GNC) systems where precise and reliable angular velocity measurement is critical to overall performance. A comprehensive mathematical model is introduced to encapsulate all key MEMS parameters, accompanied by discussions on calibration and Allan variance interpretation. For six leading MEMS gyroscope applications, namely inertial navigation, integrated navigation, autopilot systems, rotating projectiles, homing guidance, and north finding, the most critical parameters are identified, distinguishing suitable and unsuitable sensor choices. Special emphasis is placed on inertial navigation systems, where practical rules of thumb for error evaluation are derived using six degrees of freedom motion equations. Rigorous simulations demonstrate the influence of various sensor parameters through real-world case studies, including static navigation, multi-rotor attitude estimation, gimbal stabilization, and north finding via a turntable. This work aims to be a beacon for practitioners across diverse fields, empowering them to make more informed design decisions.
在过去的十年中,微机电系统(MEMS)技术在测量惯性角速度方面获得了极大的关注。然而,由于固有的复杂性,MEMS陀螺仪通常具有比传统传感器多十倍的参数,即使对专家来说,选择也是一项具有挑战性的任务。本研究解决了这一挑战,重点研究了防御制导、导航和控制(GNC)系统,其中精确可靠的角速度测量对整体性能至关重要。介绍了一个综合的数学模型来封装所有关键的MEMS参数,并讨论了校准和Allan方差解释。针对惯性导航、集成导航、自动驾驶系统、旋转弹射、寻的制导和寻北等六大MEMS陀螺仪应用,确定了最关键的参数,区分了合适和不合适的传感器选择。特别强调的是放在惯性导航系统,其中实际的经验规则的误差评估是利用六自由度运动方程推导出来的。通过真实世界的案例研究,包括静态导航、多旋翼姿态估计、框架稳定和通过转台寻北,严格的仿真证明了各种传感器参数的影响。这项工作旨在成为不同领域的从业者的灯塔,使他们能够做出更明智的设计决策。
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引用次数: 0
Spray-dried MOF-derived bimetallic oxide/carbon hybrids with superior electron transfer capability for catalyzing ammonium perchlorate decomposition 喷雾干燥mof衍生的双金属氧化物/碳杂化物,具有优异的电子转移能力,用于催化高氯酸铵分解
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.08.007
Tianjin Zhi , Dongze Li , Yan Li, Zhenxin Yi, Shunguan Zhu, Lin Zhang
The thermal decomposition characteristic of ammonium perchlorate (AP) represents a critical factor in determining the performance of solid propellants, which has aroused significant interest on the structure and performance improvement of kinds of catalysts. In this study, bimetallic metal-organic frameworks (MOFs), such as CuCo-BTC (BTC = 1,3,5-Benzenetricarboxylic acid, H3BTC), CuNi-BTC, and CoNi-BTC, were synthesized by solvothermal (ST) and spray-drying (SD) methods, and then calcined at 400 °C for 2 h to form metal oxides. The catalysts as well as their catalytic effects for AP decomposition were characterized by FTIR, XRD, SEM, XPS, TG, DSC, TG-IR, EIS, CV, and LSV. It was found that the rapid coordination of metal ions with ligands during spray drying may lead to catalytic structural defects, promoting the exposure of reactive active sites and increasing the catalytic active region. The results showed that the addition of 2 wt% binary transition metal oxides (BTMOs) as catalysts significantly reduced the high-temperature decomposition (HTD) temperature of AP and enhanced its heat release. Of particular significance is the observation that SD-CoNiOx, prepared by spray-drying, reduced the decomposition temperature of AP from 413.26 °C (pure AP) to 306 °C and enhanced the heat release from 256.79 J/g (pure AP) to 1496.82 J/g, while concomitantly reducing the activation energy by 42%. By analysing the gaseous products during the decomposition of AP+SD-CoNiOx and AP+ST-CoNiOx, it was found that SD-CoNiOx could significantly increase the content of high-valent nitrogen oxides during the AP decomposition reaction, which indicates that the BTMOs prepared by spray-drying in the reaction system are more conducive to accelerating the electron transfer in the thermal decomposition process of AP, and can provide a high concentration of reactive oxygen species that oxidize AP to high-valent nitrogen oxide-containing compounds. The present study shows that the structure selectivity of the spray-drying technique influences surfactant molecular arrangement on catalyst surfaces, resulting in their ability to promote higher electron transfer during the catalytic process. Therefore, BTMOs prepared by spray drying method have higher potential for application.
高氯酸铵(AP)的热分解特性是决定固体推进剂性能的一个关键因素,这引起了人们对各种催化剂结构和性能改进的极大兴趣。本研究采用溶剂热法(ST)和喷雾干燥法(SD)合成了CuCo-BTC (BTC = 1,3,5-苯三羧酸,H3BTC)、cu -BTC和CoNi-BTC等双金属金属有机骨架(mfs),并在400℃下煅烧2 h形成金属氧化物。采用FTIR、XRD、SEM、XPS、TG、DSC、TG- ir、EIS、CV和LSV对催化剂及其对AP分解的催化效果进行了表征。发现喷雾干燥过程中金属离子与配体的快速配位可能导致催化结构缺陷,促进活性位点的暴露,增加催化活性区域。结果表明,添加2 wt%的二元过渡金属氧化物(BTMOs)作为催化剂,可显著降低AP的高温分解温度,增强其放热能力。特别值得注意的是,通过喷雾干燥制备的SD-CoNiOx将AP的分解温度从413.26℃(纯AP)降低到306℃,放热从256.79 J/g(纯AP)提高到1496.82 J/g,同时使活化能降低42%。通过分析AP+SD-CoNiOx和AP+ST-CoNiOx分解过程中的气态产物,发现SD-CoNiOx能显著提高AP分解反应过程中高价氮氧化物的含量,说明在反应体系中喷雾干燥制备的BTMOs更有利于加速AP热分解过程中的电子传递。并且可以提供高浓度的活性氧,将AP氧化为含高价氮氧化物的化合物。本研究表明,喷雾干燥技术的结构选择性影响了表面活性剂在催化剂表面的分子排列,从而导致它们在催化过程中能够促进更高的电子转移。因此,喷雾干燥法制备的BTMOs具有较高的应用潜力。
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引用次数: 0
Study on the reactive material filled structure under impact loading: The self-distributed multipeak overpressure effect 冲击载荷作用下活性材料填充结构的研究:自分布多峰超压效应
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.06.001
Jing'an Xiang, Haifu Wang, Yueguang Yan, Aoxin Liu, Chao Ge
The reactive materials filled structure (RMFS) is a structural penetrator that replaces high explosive (HE) with reactive materials, presenting a novel self-distributed initiation, multiple deflagrations behavior during penetrating multi-layered plates, and generating a multipeak overpressure behind the plates. Here analytical models of RMFS self-distributed energy release and equivalent deflagration are developed. The multipeak overpressure formation model based on the single deflagration overpressure expression was promoted. The impact tests of RMFS on multi-layered plates at 584 m/s, 616 m/s, and 819 m/s were performed to validate the analytical model. Further, the influence of a single overpressure peak and time intervals versus impact velocity is discussed. The analysis results indicate that the deflagration happened within 20.68 mm behind the plate, the initial impact velocity and plate thickness are the crucial factors that dominate the self-distributed multipeak overpressure effect. Three formation patterns of multipeak overpressure are proposed.
反应材料填充结构(RMFS)是一种用反应材料代替高爆药的结构穿甲弹,在穿透多层板时呈现出一种新颖的自分布起爆、多重爆燃行为,并在板后产生多峰超压。本文建立了RMFS自分布能量释放和等效爆燃的分析模型。提出了基于单次爆燃超压表达式的多峰超压形成模型。通过584 m/s、616 m/s和819 m/s下RMFS对多层板的冲击试验验证了分析模型。此外,还讨论了单个超压峰值和时间间隔对冲击速度的影响。分析结果表明,爆燃发生在板后20.68 mm范围内,初始冲击速度和板厚是影响自分布多峰超压效应的关键因素。提出了三种多峰超压形成模式。
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引用次数: 0
Thermal decomposition and kinetics of diisopropyl methylphosphonate (DIMP), a chemical warfare agent simulant 化学战剂模拟剂甲基膦酸二异丙酯(DIMP)的热分解和动力学
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.dt.2025.08.009
Natalie Gese, Hergen Eilers
Chemical warfare agents (CWAs) remain a persistent hazard in many parts of the world, necessitating a deeper exploration of their chemical and physical characteristics and reactions under diverse conditions. Diisopropyl methylphosphonate (DIMP), a commonly used CWA surrogate, is widely studied to enhance our understanding of CWA behavior. The prevailing thermal decomposition model for DIMP, developed approximately 25 years ago, is based on data collected in nitrogen atmospheres at temperatures ranging from 700 K to 800 K. Despite its limitations, this model continues to serve as a foundation for research across various thermal and reactive environments, including combustion studies. Our recent experiments have extended the scope of decomposition analysis by examining DIMP in both nitrogen and zero air across a lower temperature range of 175 °C to 250 °C. Infrared spectroscopy results under nitrogen align well with the established model; however, we observed that catalytic effects, stemming from decomposition byproducts and interactions with stainless steel surfaces, alter the reaction kinetics. In zero air environments, we observed a novel infrared absorption band. Spectral fitting suggests this band may represent a combination of propanal and acetone, while GCMS analysis points to vinyl formate and acetone as possible constituents. Although the precise identity of these new products remains unresolved, our findings clearly indicate that the existing decomposition model cannot be reliably extended to lower temperatures or non-nitrogen environments without further revisions.
在世界许多地方,化学战剂仍然是一种持续存在的危害,需要更深入地探索其化学和物理特性以及在不同条件下的反应。甲基膦酸二异丙酯(DIMP)作为一种常用的CWA替代物被广泛研究,以增强我们对CWA行为的理解。目前流行的DIMP热分解模型是在大约25年前开发的,它基于在700 K至800 K温度范围内的氮大气中收集的数据。尽管有其局限性,但该模型仍然是各种热和反应环境(包括燃烧研究)研究的基础。我们最近的实验通过在175 °C至250 °C的较低温度范围内检查氮气和零空气中的DIMP,扩展了分解分析的范围。氮下红外光谱结果与建立的模型吻合较好;然而,我们观察到由分解副产物和与不锈钢表面的相互作用引起的催化效应改变了反应动力学。在零空气环境下,我们观察到一个新的红外吸收带。光谱拟合表明该波段可能代表丙醛和丙酮的组合,而GCMS分析则指出甲酸乙烯酯和丙酮可能是成分。虽然这些新产物的确切身份尚未确定,但我们的研究结果清楚地表明,如果不进一步修订,现有的分解模型不能可靠地扩展到较低温度或非氮环境。
{"title":"Thermal decomposition and kinetics of diisopropyl methylphosphonate (DIMP), a chemical warfare agent simulant","authors":"Natalie Gese,&nbsp;Hergen Eilers","doi":"10.1016/j.dt.2025.08.009","DOIUrl":"10.1016/j.dt.2025.08.009","url":null,"abstract":"<div><div>Chemical warfare agents (CWAs) remain a persistent hazard in many parts of the world, necessitating a deeper exploration of their chemical and physical characteristics and reactions under diverse conditions. Diisopropyl methylphosphonate (DIMP), a commonly used CWA surrogate, is widely studied to enhance our understanding of CWA behavior. The prevailing thermal decomposition model for DIMP, developed approximately 25 years ago, is based on data collected in nitrogen atmospheres at temperatures ranging from 700 K to 800 K. Despite its limitations, this model continues to serve as a foundation for research across various thermal and reactive environments, including combustion studies. Our recent experiments have extended the scope of decomposition analysis by examining DIMP in both nitrogen and zero air across a lower temperature range of 175 °C to 250 °C. Infrared spectroscopy results under nitrogen align well with the established model; however, we observed that catalytic effects, stemming from decomposition byproducts and interactions with stainless steel surfaces, alter the reaction kinetics. In zero air environments, we observed a novel infrared absorption band. Spectral fitting suggests this band may represent a combination of propanal and acetone, while GCMS analysis points to vinyl formate and acetone as possible constituents. Although the precise identity of these new products remains unresolved, our findings clearly indicate that the existing decomposition model cannot be reliably extended to lower temperatures or non-nitrogen environments without further revisions.</div></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"55 ","pages":"Pages 40-51"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Defence Technology(防务技术)
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