Calculation of high-temperature insulation parameters and heat transfer behaviors of multilayer insulation by inverse problems method

In the present paper, a numerical model combining radiation and conduction for porous materials is developed based on the finite volume method. The model can be used to investigate high-temperature thermal insulations which are widely used in metallic thermal protection systems on reusable launch vehicles and high-temperature fuel cells. The effective thermal conductivities（ECTs） which are measured experimentally can hardly be used separately to analyze the heat transfer behaviors of conduction and radiation for high-temperature insulation. By fitting the effective thermal conductivities with experimental data, the equivalent radiation transmittance, absorptivity and reflectivity, as well as a linear function to describe the relationship between temperature and conductivity can be estimated by an inverse problems method. The deviation between the calculated and measured effective thermal conductivities is less than 4%. Using the material parameters so obtained for conduction and radiation, the heat transfer process in multilayer thermal insulation（MTI） is calculated and the deviation between the calculated and the measured transient temperatures at a certain depth in the multilayer thermal insulation is less than 6.5%.     

Human factors quantification via boundary identification of flight performance margin

A systematic methodology including a computational pilot model and a pattern recognition method is presented to identify the boundary of the flight performance margin for quantifying the human factors. The pilot model is proposed to correlate a set of quantitative human factors which represent the attributes and characteristics of a group of pilots. Three information processing components which are influenced by human factors are modeled： information perception, decision making, and action execution. By treating the human factors as stochastic variables that follow appropriate probability density functions, the effects of human factors on flight performance can be investigated through Monte Carlo（MC） simulation. Kernel density estimation algorithm is selected to find and rank the influential human factors. Subsequently, human factors are quantified through identifying the boundary of the flight performance margin by the k-nearest neighbor（k-NN） classifier. Simulation-based analysis shows that flight performance can be dramatically improved with the quantitative human factors.     

卫星在空间碎片撞击下的易损性分析方法研究

针对厘米/毫米级空间碎片对卫星的撞击风险评估,在对卫星部件的失效模式及影响分析（FMEA）的基础上,结合射线跟踪法和失效树分析法建立一种卫星目标的易损性分析方法,计算卫星在空间碎片撞击下导致不同损伤等级的系统失效概率PK/H。详细介绍了该易损性分析方法的总体思路和各项关键技术,并给出了应用实例。该方法可推广应用于载人航天器上,对于航天器的撞击风险评估和防护结构优化设计有重要意义。     

涡轴发动机全状态实时气动热力学数值模拟

用“外推”法得到了某燃气涡轴发动机起动状态的部件特性,采用容积法建立了表达发动机热力过程特性的非线性方程组,解决了通常的部件法建模需要迭代的问题,建立了1个涡轴发动机全状态气动热力学实时模型;在起动建模中考虑了温升对部件效率的影响以及传热对燃气热焓的影响。给出了某发动机从起动到最大状态全过程的数值模拟结果。     

复合绝热管气囊成型工艺设计和实验

对两端收口复合绝热管进行了工艺方案分析,确定气囊成型工艺为优选工艺方案,在此基础上阐述了气囊成型工艺设计的原则,依据这个原则开展了典型样件的研制.结果表明：方案选择合理,工艺设计完整、可靠,产品满足各项指标要求.     

酚醛树脂杂化磷酸盐基复合材料的研究

用酚醛树脂对磷酸盐进行了杂化，并用杂化基体制备了玻璃纤维增强的复合材料。考察了酚醛树脂加入量对复合材料的力学性能、吸水性和介电性能的影响。结果表明，酚醛树脂加入后。磷酸盐复合材料的力学性能明显提高，弯曲强度从50MPa提高到100MPa以上；吸水性显著下降，吸湿率从5．5％降低到1．5％左右；同时复合材料的介电性能亦有改善。     

硅酸钇材料的研究进展

针对硅酸钇材料结构特点和物理化学特性，综述了该材料目前在高温抗氧化涂层、光学以及微电子器件等领域的应用现状，并介绍了近年来国内外相关制备技术的发展情况，对硅酸钇材料今后的研究趋势和发展方向进行了展望。     

一种新型复合材料旋翼桨尖结构形式

本文介绍一种新型复合材料旋翼桨尖结构形式,从结构设计、工艺制造及力学性能方面阐述了它的优势;同时介绍了这种结构形式的使用情况和应用前景。     

磷酸铬铝高温透波材料的制备和性能研究

以氢氧化铝、氧化铬和磷酸为原料制备磷酸铬铝，通过对反应体系粘度的监测，控制反应程度、确定反应时间。采用DSC-TG和XRD分析研究体系固化特性和耐热性能。对层间剪切强度进行测试．初步评价磷酸铬铝复合材料的性能。结果表明，控制反应时间为1h时可以得到转化率较高、粘度适当的体系。DSC—TG分析表明，该体系固化成型温度低于200℃，成型工艺简单，同时结合。XRD分析证明此材料体系具有优异的耐高温性能。对其复合材料层剪强度的研究发现，增强体材料表面进行涂层保护可有效地克服体系对增强体的腐蚀．有利于复合材料性能的改善。     

热压压力对B/Al复合材料组织结构及力学性能的影响

使用表面覆有B4C涂层的硼纤维，采用大气等离子喷涂法制备连续硼纤维增强铝基复合材料预制片，结合真空热压扩散焊制备了纤维均匀分布的B／Al复合材料。探讨在接近铝基体熔点温度的条件下热压压力对复合材料力学性能与B／Al界面结合的影响，分析了B／Al界面结合状态与断口形貌及力学性能之间的关系。研究表明：热压压力对制备的B／Al复合材料的纤维体积分数、B纤维与Al基体的界面结合状态和拉伸强度有显著的影响；纤维表面的B4c涂层有效地防止了B纤维与Al基体间的界面反应，在温度6500C、压力10MPa的条件下，制备的纤维体积分数为42％的B／Al复合材料拉伸强度达到968MPa，达到了纤维理想强度的77％。