风机叶片用缝编织物渗透性能评估

在渗透性能测试方法归纳介绍的基础上,开展了试验及比较,初步确定了相应的测试试验规范.结合风机叶片的具体工艺和使用部位等,初步选定了缝编织物的渗透性能评估参数和测试方法,以对风机叶片用缝编织物渗透性能测试评估方法的统一规范确定提供一些思路.     

长波授时附加二次相位因子修正方法

附加二次相位因子（ASF）是影响长波授时精度的主要因素,而其理论计算复杂、实测成本太高,不便于工程推广。本文选取华北平原区域为研究范围,提出一种简单高效的ASF修正方法———建立对应的ASF数据网格,采用插值算法进行ASF修正研究。通过对ASF数据网格的验证和分析,得到了和预期效果相一致的实验结果。实验结果表明：建立区域性的ASF数据网格有利于快速地修正ASF误差,便于实际工程应用。     

脉冲星时间尺度的相关研究

在已有脉冲星时频率稳定度σZ算法基础上,提出了针对长时间跨度计时观测数据缺失（gap）的脉冲星时稳定度的处理方法,并以该类典型的脉冲星J1857＋0943于帕克斯天文台PARKES的实测数据为例,给出稳定度计算结果并讨论,简介了计时软件包Tempo2得到最小残差的拟合过程,并以Tempo2处理后的数据作为输入,由其时间尺度结果引发对Tempo2处理脉冲星时间尺度的相关分析与讨论,介绍了含gap的脉冲星观测数据在综合脉冲星时算法中的应用。     

针对JPEG图像典型隐写算法的鲁棒性研究

针对图像在传输过程中遇到的椒盐噪声、高斯滤波、裁剪攻击等几种干扰攻击方式,在研究Jsteg、MB、OutGuess和F5等4种典型隐写算法嵌入和提取秘密信息的原理的基础上,分析了图像嵌入秘密信息后的不可感知性,提出采用差分归一化相关系数测量隐写算法鲁棒性对干扰攻击的敏感程度,研究了4种隐写算法在上述3种干扰攻击下的鲁棒性和受干扰攻击的敏感程度。仿真实验表明,椒盐噪声、高斯滤波对F5隐写算法的鲁棒性影响最大,而OutGuess隐写算法的鲁棒性对裁剪攻击最为敏感。     

大型氦制冷机的净化系统

氦制冷机是我国大型空间环境模拟器的重要组成部分,是完成红外相机定标试验、航天器运动部件超高真空冷焊试验的关键部件.文章介绍了氦制冷机净化系统的组成及设备性能.化系统在定标试验中的有效运转保证了氦制冷机可靠运行.     

基于fastText算法的行业分类技术

随着中国经济的高速发展和技术创新能力的不断提升,高效的组织、分类信息是提供个性化行业管理和跟踪分析的基础。根据行业信息特点和发展规律,提出了一种基于fastText算法的行业分类模型。首先,构建行业分类关键词库,通过特征词库进行分词和权重计算。然后,构建分类器模型,实现中文行业的自动分类。最后,实验选取了80 000个包含企业经营范围、企业信息、舆论信息的测试文档,结果表明,所提模型结果高于Bayes、决策树、KNN等分类算法,取得了较好的应用效果。      

固体火箭喷管颗粒尺寸分级两相跨音速流场计算

本文中对固体火箭喷管颗粒尺寸分级的两相跨音速流场作了计算.气相控制方程采用隐式近似因子分解法求解,尺寸分级的颗粒控制方程采用特征线求解,然后,二者进行充分的耦合,可以获得固体火箭发动机含有任意颗粒质量分数和不同颗粒尺寸时轴对称喷管跨音速流场的参数分布.文中讨论了不同颗粒半径和质量分数对流场的影响,对单一颗粒尺寸和颗粒尺寸分级的参数进行了比较.两相耦合计算的迭代收敛速度取决于气相,本文中气相方程求解的格式除部分边界外是隐式的,CFL数可取至6左右,收敛速度快.特别是对颗粒尺寸分级的计算,得益更大,其得益的倍数为颗粒的分级数.     

月面着陆动力下降段最优轨迹序列凸优化方法

针对月面着陆器动力下降制导过程中,时变惯性加速度和重力加速度难以估计与补偿等问题,提出一种基于序列凸优化的在线制导算法。在考虑月面曲率及月球自转的着陆器动力学建模基础上,首先对模型及约束条件进行凸化,得到一个二阶锥规划(SOCP)问题;然后对经典序列凸优化进行了改进,对时变加速度剖面予以实时估计和补偿,提升了现有优化算法的性能,使着陆器在尽可能节约燃料的前提下实现高精度着陆。仿真结果表明,与经典的显式制导律相比,所提出的算法在动力下降段燃料消耗更少。由多种位置偏差下的打靶分析结果可知,所提出的算法均能满足性能指标要求;即使起始位置存在±2500 m的较大波动时,仍能以高精度的速度、位置完成动力下降制导。     

Plume aerodynamic effects of cushion engine in lunar landing

 During the second period of China "Tanyue" Project, the explorer will softland on the moon. The cushion engines are used to decelerate the explorer and reduce the impact on the lunar ground. It is necessary to study its plume effects on the explorer component. The self-developed PWS (Plume WorkStation) software based on direct simulation Monte Carlo (DSMC) method is used to simulate the plume effects of two 150 N engines. Due to the complex structure of the explorer, PWS uses a decoupling method to treat the boundary mesh, which mainly interacts with simulation particles, and has no relation with the computational grids. After the analytical expressions of plane surfaces and curved surfaces of each boundary block are given, the particle position within or without the boundary blocks can be easily determined. Finally the 3D plume field of two 150 N engines is simulated. The pressure, temperature and velocity distributions of plume field are clearly presented by three characteristic slices. The aerodynamic effects on the explorer bottom, the landfall legs and antenna are separately shown. The compression influence on the plume flow of four landfall legs can be observed.     

A new method to predict fatigue crack growth rate of materials based on average cyclic plasticity strain damage accumulation

By introducing a fatigue blunting factor, the cyclic elasto-plastic Hutchinson-Rice-Rosengren (HRR) field near the crack tip under the cyclic loading is modified. And, an average damage per loading-cycle in the cyclic plastic deformation region is defined due to Manson-Coffin law. Then, according to the linear damage accumulation theory-Miner law, a new model for predicting the fatigue crack growth (FCG) of the opening mode crack based on the low cycle fatigue (LCF) damage is set up. The step length of crack propagation is assumed to be the size of cyclic plastic zone. It is clear that every parameter of the new model has clearly physical meaning which does not need any human debugging. Based on the LCF test data, the FCG predictions given by the new model are consistent with the FCG test results of Cr2Ni2MoV and X12CrMoWVNbN 10-1-1. What’s more, referring to the relative researches, the good predictability of the new model is also proved on six kinds of materials.