纳米校准与测试——基于纳米测量机的试验性研究

主要介绍了基于纳米测量机的高阶梯差台阶标准样板和深沟槽深度标准样板计量测试和校准工作研究,包括在NMM上对两种标准样板进行计量测试和校准、在NMM上安装不同的探测传感器时纳米级深度标准样板和台阶高度样板的校准比较、以及在研航空基金项目"在NMM上实现小型非球面的坐标扫描轮廓测量方法".     

超声横波斜探头K值对缺陷定位的影响

本文重点分析了影响横波斜探头K值测量的因素之一的测试用横孔埋深,对实测K值的影响,通过实验,得出了两个修订方程,可以提高横波斜探头在探伤时对缺陷的定位精度。     

池沸腾现象中热毛细对流的成因

针对微重力条件下单组份液体池沸腾现象,探讨了有关热毛细效应作用及其成因的不同观点,指出正确描述气液相变界面两侧的温度关系是解决争议的关键.详细评述了现有的气液相变界面温度模型,发现气液相变的非平衡特征会导致气液界面上产生温度梯度,引起表面张力的显著差异,从而驱动热毛细对流的形成.但现有气液相变界面温度模型机理差异迥然,预测结果也差别很大,因此,需要更深入研究.      

基于DDPG的单目无人机避障算法

提出了一种基于单目相机的小型多旋翼无人机的连续避障策略。所提出的方法包括深度估计和导航决策两个模块。其中,在深度估计模块采用条件对抗网络对无人机采集得到的RGB图片进行训练预处理,在导航决策模块采用深度确定性策略梯度(DDPG)算法实现无人机的连续避障。在此基础上,对DDPG中的Actor网络进行改进,通过使用多模态网络代替原有策略网络,从而抑制无人机飞行震动,提高避障能力。最后,在Airsim仿真环境中进行测试,实验表明所提算法模型经过训练能够使无人机成功躲避障碍物并到达指定目标点,与原有算法相比避障轨迹得到明显改善。     

基于多特征融合的航天器锂电池健康评估技术

传统的航天器蓄电池可靠性试验按照最大放电深度进行定额充放电，所构建的失效模型用于支撑航天器总体可靠性设计，不能用于在轨锂离子蓄电池健康评估任务；航天器在蓄电池遥测的采样率、精度、样本量方面无法与民用领域相比，基于高采样、大样本的民用蓄电池健康估计方法也不适用于在轨锂离子蓄电池健康评估。针对该问题，从在轨航天器蓄电池数据特性出发，挖掘在轨状态下所能提取的退化特征，并采用多特征综合评价方法，设计了一种基于多特征融合的在轨锂离子蓄电池健康评估方法，实现了在轨蓄电池放电内阻、同放电深度下的终端电压、恒压充电时间3项退化特征融合的健康量化评估，应用于某型号卫星的在轨监测与健康评估，具有良好的工程实用性，可作为国内航天器健康评估技术的参考。     

燃油直接喷射入横向气流中雾化机理数值研究

采用商业软件Fluent对燃油直接喷射入横向气流中的破碎雾化过程进行数值模拟,选用欧拉-欧拉方法中的VOF（volume of fluid）耦合level-set方法模拟气液两相流动.数值模拟了横向气流中燃油直接喷射射流破碎雾化过程及其相应流场信息,分析了流场结构对液柱破碎雾化过程的影响,获得了横向气流中射流破碎点位置以及射流穿透深度,并与试验数据进行了对比.数值计算结果表明:①采用VOF耦合level-set算法能够较好地模拟射流喷入横向气流中燃油破碎雾化过程;②由于反向旋转的涡对的存在,使得液膜和液滴沿着展向（y向）输运,对于液滴的二次雾化起到促进作用;③射流液柱总是在喷嘴下游约8倍直径处开始破碎,且破碎点位置取决于喷嘴几何特性.      

发动机叶片气相渗铝工艺研究

为提高发动机叶片抗高温氧化和抗燃气腐蚀的能力,选用发动机叶片气相渗铝工艺,通过模拟生产的工艺试验,以试验数据及现象为依据,客观分析了渗铝的加热温度、保温时间及渗铝剂的用量等因素对渗铝层深度的影响,从而确定某型发动机叶片气相渗铝时的热处理参数。     

Langley method applied in study of aerosol optical depth in the Brazilian semiarid region using 500, 670 and 870 nm bands for sun photometer calibration

Due to the high costs of commercial monitoring instruments, a portable sun photometer was developed at INPE/CRN laboratories, operating in four bands, with two bands in the visible spectrum and two in near infrared. The instrument calibration process is performed by applying the classical Langley method. Application of the Langley’s methodology requires a site with high optical stability during the measurements, which is usually found in high altitudes. However, far from being an ideal site, Harrison et al. (1994) report success with applying the Langley method to some data for a site in Boulder, Colorado. Recently, Liu et al. (2011) show that low elevation sites, far away from urban and industrial centers can provide a stable optical depth, similar to high altitudes. In this study we investigated the feasibility of applying the methodology in the semiarid region of northeastern Brazil, far away from pollution areas with low altitudes, for sun photometer calibration. We investigated optical depth stability using two periods of measurements in the year during dry season in austral summer. The first one was in December when the native vegetation naturally dries, losing all its leaves and the second one was in September in the middle of the dry season when the vegetation is still with leaves. The data were distributed during four days in December 2012 and four days in September 2013 totaling eleven half days of collections between mornings and afternoons and by means of fitted line to the data V₀ values were found. Despite the high correlation between the collected data and the fitted line, the study showed a variation between the values of V₀ greater than allowed for sun photometer calibration. The lowest V₀ variation reached in this experiment with values lower than 3% for the bands 500, 670 and 870 nm are displayed in tables. The results indicate that the site needs to be better characterized with studies in more favorable periods, soon after the rainy season.     

Accuracy analysis of GNSS-IR snow depth inversion algorithms

In recent years, with the continuous development of Global Navigation Satellite System (GNSS), it has been applied not only to navigation and positioning, but also to Earth surface environment monitoring. At present, when performing GNSS-IR (GNSS Interferometric Reflectometry) snow depth inversion, Lomb-Scargle Periodogram (LSP) spectrum analysis is mainly used to calculate the vertical height from the antenna phase center to the reflection surface. However, it has the problem of low identification of power spectrum analysis, which may lead to frequency leakage. Therefore, Fast Fourier Transform (FFT) spectrum analysis and Nonlinear Least Square Fitting (NLSF) are introduced to calculate the vertical height in this paper. The GNSS-IR snow depth inversion experiment is carried out by using the observation data of P351 station in PBO (Plate Boundary Observatory) network of the United States from 2013 to 2016. Three algorithms are used to invert the snow depth and compared with the actual snow depth provided by the station 490 in the SNOTEL network. The observations data of L1 and L2 bands are respectively used to find the optimal combination between different algorithms further to improve the accuracy of GNSS-IR snow depth inversion. For L1 band, different snow depths correspond to different optimal algorithms. When the snow depth is less than 0.8 m, the inversion accuracy of NLSF algorithm is the highest. When the snow depth is greater than 0.8 m, the inversion accuracy of FFT algorithm is higher. Therefore, according to the different snow depth, a combined algorithm of NLSF + FFT is proposed for GNSS-IR snow depth inversion. Compared with the traditional LSP algorithm, the inversion accuracy of the combined algorithm is improved by 10%. For L2 band data, the results show that the accuracy of snow depth inversion of various algorithms do not change with the variations of snow depth. Among the three single algorithms, the inversion accuracy of FFT algorithm is better than that of LSP and NLSF algorithms.     

航班排班中航班串生成与筛选问题的算法与实现

针对国内航空公司运营特点，提出了分3步完成航空公司单日航班运营方案的编制：首先运用深度优先搜索算法生成可行航班串；然后以使用飞机数最少为目标，建立0—1整数规划模型对可行航班串进行筛选；最后以筛选后的航班串作为航班运营方案。通过一个算例的分析说明了该方法的应用。