新型潜伏性环氧树脂体系固化动力学

采用非等温差示扫描量热(DSC)技术对改性咪唑类固化剂(MIM)及其微胶囊固化剂(MIC)与E-51环氧树脂的固化反应过程进行了跟踪,并利用Kissinger和Crane方程对该固化反应进行了动力学分析,在此基础上探讨了固化剂包覆处理前后其环氧树脂体系的固化动力学参数与固化剂室温贮存性能的关系。结果表明:在不同升温速率下,E-51/MIM反应体系的放热量均大于E-51/MIC体系;两固化反应体系的反应级数均为0.89;与E-51/MIM体系相比,E-51/MIC体系的固化反应活化能和频率熵因子均较大,并具有更好的室温贮存性能。     

基于标注事件图的空间数据库主动规则终止性分析

主动规则的终止性分析强化了规则的设计高效性。给出主动规则元模型的概念作为主动规则终止性分析和比较的基础;对精化触发图进行扩展,提出标注事件图分析模型。结合实例给出终止性分析算法。与各种方法的对比说明标注事件图是可应用于终止性分析的通用抽象模型。     

脉冲功率电源故障诊断方法研究

脉冲功率电源是电磁发射系统中最容易发生故障的薄弱环节,脉冲功率电源故障会使整个系统性能下降。针对脉冲功率电源故障,提出基于多层小波分析提取故障信息的模式搜索支持向量机故障诊断方法。通过建立脉冲功率电源的软故障模型,进行仿真分析获得电流故障数据样本,对故障样本进行离散小波分解,获得指定层细节信息的小波系数作为故障特征量;对故障特征量进行主成分分析,将小波系数进行降维,以便有效地进行故障诊断。通过实验,将所提方法故障诊断结果与其他三种故障诊断结果进行比较,验证了所提方法的有效性。     

航天装备备件配置现状SWOT分析及对策研究

全面分析航天装备备件配置现状,把握备件配置优化的主要方向,形成推动备件配置水平快速提升的关键策略,是提高航天装备备件保障科学性和高效性的重要基础。本文通过SWOT分析法对航天装备备件配置现状的优势、劣势、机遇和威胁进行了系统剖析,并在此基础上构建SWOT分析矩阵,进而基于矩阵因素的不同组合形式,研究形成改进航天装备备件配置现状、提高备件配置科学性的四种关键策略,即抓住机遇、发挥优势的S-O策略,利用机遇、克服不足的W-O策略,利用优势、应对威胁的S-T策略和弥补不足、应对威胁的W-T策略,提出当前应重点解决备件需求提报精度、库存配置科学性和协调激励机制三个现实问题,为开展航天装备备件配置问题深入研究明确了重点、确定了方向。     

Theoretical and numerical investigations on the headspace of cartridge cases considering axial deformation and movement

The cartridge case headspace is the axial clearance between the cartridge and bolt of an automatic weapon, and influences the reliability and security of the weapon. Accordingly, theoretical and numerical studies were conducted to analyze the dynamic response of cartridge cases during internal impact considering the initial radial clearances between the cartridge case and chamber. A theoretical model was proposed to predict the cartridge case headspace considering both the deformation and movement of the cartridge case and confirmed by the results of nonlinear finite element simulations. The differences between the results of the conventional static model and the dynamic model were then comprehensively evaluated. The effects of the angle between the cartridge and chamber, the cartridge case material, and the internal impact pressure on the predicted headspace value were also analyzed. The dynamic response of the cartridge case predicted by the dynamic model was more accurate than that predicted by the conventional static model. The internal impact pressure, pressure change rate, and cartridge material were all found to affect the predicted headspace.     

Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources

Environmentally friendly energy resources open a new opportunity to tackle the problem of energy security and climate change arising from wide use of fossil fuels. This paper focuses on optimizing the allocation of the energy generated by the renewable energy system to minimize the total electricity cost for sustainable manufacturing systems under time‐of‐use tariff by clipping the peak demand. A rolling horizon approach is adopted to handle the uncertainty caused by the weather change. A nonlinear mathematical programming model is established for each decision epoch based on the predicted energy generation and the probability distribution of power demand in the manufacturing plant. The objective function of the model is shown to be convex, Lipchitz‐continuous, and subdifferentiable. A generalized benders decomposition method based on the primal‐dual subgradient descent algorithm is proposed to solve the model. A series of numerical experiments is conducted to show the effectiveness of the solution approach and the significant benefits of using the renewable energy resources.     

Optimal allocation of minimal repairs in parallel and series systems

In reliability engineering, the concept of minimal repair describes that the repair brings the failed unit (eg, system or component) to the situation which is same as it was just before the failure. With the help of the well‐known Gamma‐Poisson relationship, this paper investigates optimal allocation strategies of minimal repairs for parallel and series systems through implementing stochastic comparisons of various allocation policies in terms of the hazard rate, the reversed hazard rate, and the likelihood ratio orderings. Numerical examples are presented to illustrate these findings as well. These results not only strengthen and generalize some known ones in the seminal work of Shaked and Shanthikumar, but also solve the open problems proposed by Chahkandi et al.'s study and Arriaza et al.'s study.     

智能化作战指挥模式需求

智能装备已经走入军队、走向战场,创建智能化作战指挥模式是智能化时代作战指挥的必然发展趋势,智能化作战指挥模式需求分析可为智能作战问题研究提供有效的信息。智能化作战指挥模式的需求分析已经具备了一定的物质、理论和技术基础,同时,也具有了一定的构建思路、实践条件和实验平台。在此基础上,本文从军事需求、功能需求和技术需求以及构建要求四个不同角度进行需求分析,以找准创建需求,为后续工作进一步展开奠定基础。     

Analysis of some critical aspects in hot machining of Ti-5553 superalloy: Experimental and FE analysis

In this study, a newly developed titanium superalloy, i.e., the Ti-5553 alloy has used for hot machining. This material replaced Ti-grade-5 alloy in the application of aerospace, automobile, and biomedical sector. However, similar to Ti-grade-5 alloy, the Ti-5553 alloy has a low thermal conductivity which makes it difficult-to-cut material categories hence, high tool wear, cutting force and bad surface finish. Hot machining of Ti-5553 has been studied at different machining condition (room and hot) using Deform-2D finite element analysis. The result from the simulation test was compared with the experimental value and reduction of cutting and thrust forces was observed. The experiment was carried out with the same input parameters as simulation, and good coherence between them observed. Additionally, cutting zone temperature, effective stress, etc. for both room and elevated the temperature are also discussed.