采用遗传算法的弹托迎风窝结构设计

针对一体化弹丸弹托易分离性和轻质化的设计要求，构建弹托迎风窝参数化外形模型，基于激波和膨胀波理论建立弹托气动力计算模型；以弹托分离加速度和弹托质量综合最优为目标函数，采用遗传算法对弹托迎风窝的外形参数进行优化设计，从而得到弹托迎风窝的优化外形。以中口径尾翼稳定脱壳穿甲弹的弹托设计为例，采用提出的优化设计模型对其迎风窝结构进行优化设计，并采用基于动网格技术的弹托分离仿真模型验证其最优性。仿真结果表明：所提优化模型能够得到最优的弹托迎风窝结构；针对现有的中口径尾翼稳定脱壳穿甲弹，可进一步对其弹托结构进行优化，以提高其分离快速性。     

A numerical study on the disturbance of explosive reactive armors to jet penetration

The disturbance of flat and V-shaped sandwich reactive armor configurations to shaped-charge jet is studied by a numerical approach. The disturbing and cutting effects of the two reactive armor configurations to the jet are successfully captured. The predicted disturbance characteristics and patterns are in fairly good agreement with the X-ray photographic observations. The residual depth of penetration into a semi-infinitive homogeneous steel target behind the reactive armor is computed for a series of jet/armor parameters. For the flat configuration, it is demonstrated that the residual penetration depth is not significantly reduced for a normal impact while it is reduced up to 75% for an oblique impact. In comparison, the V-shaped configuration reduces the penetration depth of the jet to 90%, and it is observed that the penetration depth is not sensitive to the V-shaped angle.     

Neural network modeling to evaluate the dynamic flow stress of high strength armor steels under high strain rate compression

An artificial neural network (ANN) constitutive model is developed for high strength armor steel tempered at 500 °C, 600 °C and 650 °C based on high strain rate data generated from split Hopkinson pressure bar (SHPB) experiments. A new neural network configuration consisting of both training and validation is effectively employed to predict flow stress. Tempering temperature, strain rate and strain are considered as inputs, whereas flow stress is taken as output of the neural network. A comparative study on Johnson–Cook (J–C) model and neural network model is performed. It was observed that the developed neural network model could predict flow stress under various strain rates and tempering temperatures. The experimental stress–strain data obtained from high strain rate compression tests using SHPB, over a range of tempering temperatures (500–650 °C), strains (0.05–0.2) and strain rates (1000–5500/s) are employed to formulate J–C model to predict the high strain rate deformation behavior of high strength armor steels. The J-C model and the back-propagation ANN model were developed to predict the high strain rate deformation behavior of high strength armor steel and their predictability is evaluated in terms of correlation coefficient (R) and average absolute relative error (AARE). R and AARE for the J–C model are found to be 0.7461 and 27.624%, respectively, while R and AARE for the ANN model are 0.9995 and 2.58%, respectively. It was observed that the predictions by ANN model are in consistence with the experimental data for all tempering temperatures.     

穿甲子弹偏心入射陶瓷/钢复合靶板试验

设计并进行了7.62mm穿甲子弹侵彻陶瓷/低碳钢复合靶板的弹道试验,得到了极限速度及陶瓷锥底部半径等数据。分析了锥底半径与入射速度、面板及背板厚度的关系,着重分析了偏心入射时靶板的抗弹机理。结果表明:陶瓷锥可分为破碎区和粉碎区,粉碎区半径约为面板厚度与弹丸半径之和;当弹着点距离陶瓷面板边缘大于5mm时,靶板的抗弹性能变化不大,而弹着点位于距陶瓷面板边缘小于5mm的板边区时,抗弹性能明显降低,靶板的有效防护面积应扣除板边区。     

22SiMn2TiB装甲钢异种焊接接头超声波探伤探头设计

用常规探头对22SiMn2TiB装甲钢与TWE312异种钢焊接接头进行缺陷检测,杂波和伪缺陷波导致灵敏度、信噪比不高。用扫描电镜观察到这种异种钢焊接接头主要为奥氏体+铁素体组织,其中奥氏体是主体组织。根据焊缝的组织特点,设计出了2.5P13×13K1.5型专用探头。在预制缺陷的焊接接头上进行了验证试验,结果表明2.5P13×13K1.5探头对接头内部的缺陷具有较高的检出率。     

Critical interfaces in body armour systems

The ballistic performance, and behaviour, of an armour system is governed by two major sets of variables, geometrical and material. Of these, the consistency of performance, especially against small arms ammunition, will depend upon the consistency of the properties of the constituent materials. In a body armour system for example, fibre diameter, areal density of woven fabric, and bulk density of ceramic are examples of critical parameters and monitoring such parameters will form the backbone of associated quality control procedures. What is often overlooked, because it can fall into the User’s domain, are the interfaces that exist between the various products; the carrier, the Soft Armour Insert (SAI), and the one or two hard armour plates (HAP1 and HAP2). This is especially true if the various products are sourced from different suppliers.There are between 30 and 150 individual layers within a typical body armour system, and each of the interfaces between each of those layers will, in some way or another, contribute to the ballistic performance of the system. For example, consider the following interfaces/interlayers: (i) the frictional, sliding, inter-ply surfaces within a soft armour pack, and also between the pack and the carrier, (ii) the air-gaps that may develop within the soft armour pack, (iii) the interconnecting space between the soft armour pack and the hard armour plate, (iv) the nature of the interfaces between adjacent plies of a multiplied backing laminate, even in a highly compressed Ultra High Molecular Weight Polyethylene (UHMWPE) variant, (v) the interlayer between the ceramic and its substrate, within a HAP, and (vi) the geometrical fit between two hard armour plates within a stacked body armour system. This paper will provide a User-friendly overview of all such interfaces and provide unique guidance as to their criticality and influence.     

采用动网格技术的弹托分离仿真模型

针对一体化弹丸出炮口后弹托由与弹体接触到绕弹托质心做六自由度运动的过程,提出一种基于弹托分段分离运动并采用动网格技术耦合流体控制方程和六自由度运动方程的弹托分离仿真模型。以尾翼稳定脱壳穿甲弹为例,仿真分析不同马赫数下的弹托分离情况,并探讨弹托和弹体气动系数在分离过程中的变化情况。仿真结果表明:弹托分离马赫数越大,分离轨迹越靠近弹体且分离时间越短,但对地分离横向位移越大。通过与试验数据的对比,验证了所提弹托分离仿真模型的准确性。     

Data-driven prediction of plate velocities and plate deformation of explosive reactive armor

Explosive reactive armor (ERA) is currently being actively developed as a protective system for mobile devices against ballistic threats such as kinetic energy penetrators and shaped-charge jets. Considering mobility, the aim is to design a protection system with a minimal amount of required mass. The efficiency of an ERA is sensitive to the impact position and the timing of the detonation. Therefore, different designs have to be tested for several impact scenarios to identify the best design. Since analytical models are not predicting the behavior of the ERA accurately enough and experiments, as well as numerical simulations, are too time-consuming, a data-driven model to estimate the displacements and deformation of plates of an ERA system is proposed here. The ground truth for the artificial neural network (ANN) is numerical simulation results that are validated with experiments. The ANN approximates the plate positions for different materials, plate sizes, and detonation point positions with sufficient accuracy in real-time. In a future investigation, the results from the model can be used to estimate the interaction of the ERA with a given threat. Then, a measure for the effectiveness of an ERA can be calculated. Finally, an optimal ERA can be designed and analyzed for any possible impact scenario in negligible time.     

精细陶瓷在坦克装甲车辆中的应用与发展

综述了精细陶瓷在坦克装甲车辆动力装置、装甲防护装置、火力装置及腐蚀与防护等方面的应用现状与发展,阐述了制约精细陶瓷广泛应用的主要因素及解决措施,同时展望了精细陶瓷应用的发展前景。     

基于作战仿真的装甲车辆作战效能评估方法

在研制开发装甲车辆的过程中需要预先知道设计的装备是否满足未来战场需要,主要是它的作战效能是否能满足要求。为了获得研制中装备的作战效能,较好的办法是建立作战模型进行仿真。在仿真结果的基础上,通过选取作战效能评估的主要评价指标,建立装甲车辆作战效能的一个综合评估模型,得到了作战效能。