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311.
对于Cerenkov型器件,由高频结构温升引发的热脱附会造成的射频击穿,进而导致输出功率降低和脉冲缩短。基于此,研究了电磁脉冲对高频结构的加热温升效应,推导了高频结构的温升公式,指出了理论公式的适用范围,并给出了数值求解试件温升的方法。以二周期1 MV·cm-1的高频结构为例,进行了温升的数值计算和仿真研究。结果表明,脉宽100 ns的单脉冲对不锈钢试件的温升效应明显高于其他材料。当系统工作在高重频时,电磁脉冲的温升作用可能使金属材料达到气体脱附的阈值从而引发气体脱附形成局部高压。该研究可为高功率微波源中的气体脱附以及射频击穿等研究提供参考。 相似文献
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行车取力泵控马达发电系统可以改变现有装备车辆供电模式。针对泵控马达系统存在转速和外接负载扰动的问题,以输入变转速变负载变量泵-定量马达恒速控制系统为研究平台,建立系统的流量模型,确定了对转速和负载扰动的控制策略以及相应的前馈补偿系数,采用了PID闭环控制与前馈补偿相结合的复合控制方法。并通过Matlab的Simulink模块对建立系统的仿真模型,得到了系统在转速和负载扰动下的控制规律,结果表明控制系统在两种扰动下反应迅速,最后通过实验验证,马达输出转速能保持在较理想的状态,为行车取力发电系统实现提供了借鉴意义。 相似文献
315.
Pascal Vennesson 《战略研究杂志》2017,40(3):358-391
Critical security advocates commonly portray strategic studies as crippled by its narrow focus on Cold War-era military issues, as state-centric and as Western-centric. I argue that this conception of the scope of strategy is flawed and I offer a comprehensive rebuttal by working out the logic of the theories advanced by Carl von Clausewitz and Thomas Schelling. The proponents of critical security overlook the striking expansion of strategy during the Cold War, its longstanding inclusion of competing political actors not just states, as well as its capacity to put Western and non-Western actors in a common analytic frame. By breaking out of the conceptual jails in which strategy has been incarcerated, I seek to reconnect International Relations to strategic thought from which it has become increasingly estranged. 相似文献
316.
针对伞翼无人机参数不确定性和复杂环境干扰敏感的问题,提出一种伞翼无人机线性自抗扰(Linear Active Disturbance Rejection Control,LADRC)高度控制方法。建立伞翼无人机8自由度飞行动力学模型,并引入风场和降雨模型以更加准确地模拟真实飞行环境。基于LADRC确定总体控制架构,设计线性扩张状态观测器对所有扰动进行估计,并引入误差反馈率在控制中实时补偿。使用该控制方法在多种扰动工况下进行伞翼无人机高度控制仿真实验。仿真结果表明,基于LADRC的高度控制方法能够有效克服内扰和外扰的影响,实现高精度高度控制;与传统PID控制效果相比,LADRC控制器具有更好的抗扰能力和鲁棒性。 相似文献
317.
埋地高压天然气经小孔泄漏会导致土壤冻结形成冻土,应用一元气体动力学、流体力学和传热学知识建立了天然气小孔泄漏吸热率模型和土壤稳态温度场模型,并进行了实例计算。结果表明:当天然气输送压力小于临界压力,小孔泄漏吸热率随压力的增大而增大;当天然气输送压力大于等于临界压力,小孔泄漏吸热率达到最大值;冻土厚度随土壤热导率或空气对流传热系数的增大而减小,但土壤热导率对其影响较小,空气对流传热系数对其影响较大。 相似文献
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《防务技术》2014,10(2):190-197
Plane wave generators (PWGs) are used to accelerate flyer plates to high velocities with their generated plane waves, which are widely used in the test of dynamic properties of materials. The traditional PWG is composed of two explosives with different detonation velocities. It is difficult to implement the related fabrication processes and control the generated waves due to its complicated structures. A simple plane wave generator is presented in this paper, which is composed of two identical cylindrical high explosive (HE) charges and an air-metal barrier. A theoretical model was established based on two different paths of the propagation of detonation waves, based on which the size of air-metal barrier was calculated for a given charge. The corresponding numerical simulations were also carried out by AUTODYN-2D® based on the calculated results, which were used to compare with the theoretical calculations. A detonation wave with a flatness of 0.039 μs within the range of 70-percent diameter of the main charge was obtained through the simulations. 相似文献
320.
《防务技术》2014,10(4):334-342
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. 相似文献