低密度小喷管流场的DSMC直接模拟

用ＤＳＭＣ方法数值模拟了低密度轴对小喷管的流场流动，获得了相应的结果，并将所得结果与用差分求解Ｎ－Ｓ方程方法获得的结果进行了对比，二者吻合较好。     

液体火箭发动机典型实验室及典型实验概述

在大量文献研究的基础上,概括介绍了目前液体火箭发动机方面的典型实验室和典型实验及几种用于液体火箭发动机喷雾、燃烧和流动测量的先进仪器。为开展新一代液体火箭发动机的实验研究和设计提供参考。     

一种铝锂合金搅拌摩擦焊接头力学性能及微观组织研究

研究了C24S-T8铝锂合金搅拌摩擦焊接头力学性能及微观组织。通过焊接工艺参数的优化,获得了无孔洞缺陷、焊缝质量优异的接头,强度系数约82%。拉伸时塑性变形及断裂集中于焊缝处。基材晶粒呈薄饼状,沿轧制方向拉长;焊核区为细小等轴的再结晶晶粒,平均晶粒尺寸约2.3μm,大部分晶界是大于15°的大角度晶界;热机影响区的晶粒在焊接过程中发生了偏转和变形。C24S-T8铝锂合金基材强化相包括T1相(Al2CuLi)、θ’相(Al2Cu)和S’相(Al2CuMg);热机影响区及焊核区内强化相完全溶解,造成硬度下降。     

真空小喷管羽流场的Monte Carlo直接模拟

利用直接模拟的Ｍｏｎｔｅ Ｃａｒｌｏ方法数值模拟了真空喷管羽流场，获得了符合规律的数值模拟结果。由于将随机取样频率法用于轴对称问题中，解决了计算机内存和速度上的困难，同时也证明了Ｒ－Ｓ－Ｆ方法的可靠性。     

喷管潜入段二维两相冷流实验

建立了喷管潜入段二维两相冷流实验设备,进行了相应的实验。实验清晰地显示了在潜入喷管进口背壁凹区旋涡的产生、稳定、消失,以及粒子的冲刷、粘贴、脱落、沉积等反复作用的复杂现象,它们与流动的雷诺数、粒子的含量和尺寸、潜入喷管进口处的形状和潜入深度、背壁型面等因素有关。     

TC4合金叶片热模锻过程的数值模拟

文摘为了生产出质量合格的叶片,针对TC4合金叶片的成形特点,为其制订了相应的热模锻成形工艺。同时采用基于有限体积的材料成形模拟技术,对TC4合金叶片热模锻过程进行了模拟,分析了坯料成形过程中的充填情况、应变场、应力场及终锻温度场的分布规律。模拟结果表明:锻件轮廓清晰,模具型腔充填完整,未出现充不满或折叠等锻造缺陷。实际生产出来的叶片经理化检测和外观检查,质量符合要求,制定的工艺方案合理,可以满足TC4合金航空风扇转子叶片的成形质量要求。     

空空导弹发动机采用少烟复合固体推进剂评述

本文在总结我国空空导弹发动机研制的基础上,分析空空导弹发动机尾喷流对载机的影响.同时,从导弹发动机设计的角度出发,根据国内实际水平,提出采用少烟复合固体推进剂作为今后减少尾喷流对载机影响的主要技术途径.     

非自模化区域内动叶叶尖间隙对气动-声学性能的影响

本文对非自模化区域内小型风机的气动－声学性能进行了实验研究,详细了在非自模化区域内动叶叶尖间隙对气动－声学性能的影响,并与自模化区域内的影响作了对比分析,得到了在非自模化区域内动叶径向间隙对气动－声学性能的修正,计算结果与实测值吻合良好。初步提示了非自模化区域内动叶叶尖间隙对气动－声学性能影响的机理。     

SB—3热控涂层电导稳定性能评估

SB—3是一种消光性能好,吸收率和发射率高的黑色热控涂层材料,基底材料是有机化合物。为了增加电导能力和克服表面电荷积累的现象,在涂层中又掺有导电添加剂。对这样一种有应用前途的热控涂层进行比较深入细致的观察研究是十分必要的。通过这方面的评估研究可以指出该涂层的充电性能的变化及规律,也有助于涂层改进并实现在型号上可靠应用的最终目的。     

GRACE gravity field modeling with an investigation on correlation between nuisance parameters and gravity field coefficients

The GRACE (Gravity Recovery And Climate Experiment) monthly gravity models have been independently produced and published by several research institutions, such as Center for Space Research (CSR), GeoForschungsZentrum (GFZ), Jet Propulsion Laboratory (JPL), Centre National d’Etudes Spatiales (CNES) and Delft Institute of Earth Observation and Space Systems (DEOS). According to their processing standards, above institutions use the traditional variational approach except that the DEOS exploits the acceleration approach. The background force models employed are rather similar. The produced gravity field models generally agree with one another in the spatial pattern. However, there are some discrepancies in the gravity signal amplitude between solutions produced by different institutions. In particular, 10%–30% signal amplitude differences in some river basins can be observed. In this paper, we implemented a variant of the traditional variational approach and computed two sets of monthly gravity field solutions using the data from January 2005 to December 2006. The input data are K-band range-rates (KBRR) and kinematic orbits of GRACE satellites. The main difference in the production of our two types of models is how to deal with nuisance parameters. This type of parameters is necessary to absorb low-frequency errors in the data, which are mainly the aliasing and instrument errors. One way is to remove the nuisance parameters before estimating the geopotential coefficients, called NPARB approach in the paper. The other way is to estimate the nuisance parameters and geopotential coefficients simultaneously, called NPESS approach. These two types of solutions mainly differ in geopotential coefficients from degree 2 to 5. This can be explained by the fact that the nuisance parameters and the gravity field coefficients are highly correlated, particularly at low degrees. We compare these solutions with the official and published ones by means of spectral analysis. It is found that our solutions are, in general, consistent with others in the spatial pattern. The water storage variations of the Amazon, Chari and Ganges river basins have also been computed. The variations computed with the NPARB approach are closer to those produced by JPL and DEOS solutions, while the variations produced with the NPESS approach are in good agreement with those produced by the CSR and GFZ solutions. A simulation study is implemented with considering realistic noise and low-frequency error. The two approaches are used to recover the true model. The NPESS solution appears closer to the true one. Therefore we are inclined to estimate the nuisance parameters simultaneously with the geopential coefficients.