RTS-20A便携式低温恒温槽

介绍了一种便携式低温恒温槽的工作原理及组成结构，并给出了试验数据。     

飞机生产中产生不协调问题的原因及解决办法

根据笔者多年来从事工艺技术的经验，总结了在飞机生产中，由于协调路线设计不合理、铆接装配变形、温度影响、在重量作用下引起的变形以及误差积累所产生的不协调问题，并结合具体的实例对上述不协调问题产生的原因提出了解决的办法。     

双工器的频率温度系数

详细叙述了测试GSM移动通信基站中900MHz和1800MHz两种双工器的频率温度系数的方法和具体数据;从网络理论和实际工艺两方面分析了双工器因温度变化产生较大频率偏移的主要原因,总结出预防频率偏移的设计方法.     

提高铂电阻温度计测量精度的方法研究

分析了检定规程对铂电阻温度计的要求,通过研究铂电阻温度计的测温特性,提出了提高铂电阻温度计测量精度的方法,并给出了在温度校准点的测量不确定度.     

微特电机全温度自动补偿原理及参数的确定

设计了全温度自动补偿电路，提高微特电机主要性能指标的温度稳定性．它的工作原理简单；电路参数的确定采用计算机辅助计算方法——具有连续延伸和自动改变初值的加速寻优的单纯形方法，不仅快捷、准确，而且稍加修改也可适用于任何多元非线性方程组的求解     

QD-×××燃气轮机验证机台架试车的性能研究

QD-×××燃气轮机是由某型发动机改造成的燃气轮机,试车过程中解决了验证机起动、稳定工作并达到燃气轮机设计要求。试验数据表明:发动机改进设计后实测输出功率小于发动机设计计算功率,经过分析得出,验证机排气温度高,内涵空气流量小,是验证机输出功率小的根本原因。     

模块化空间可展开天线支撑桁架结构的热-结构分析

对模块化空间可展开天线支撑桁架结构进行空间热交变环境下的热 结构分析,为天线结构因热致变形影响形面精度和网面稳定性提供合理的防护建议。采用ANSYS APDL有限元软件建立了大口径模块化空间可展开天线支撑结构的精细化数值模型,基于已有试验分别验证了模块化可展开天线结构有限元建模和热分析模型的正确性;分析了在瞬态温度场作用下约束位置等参数对支撑桁架弦杆及拉索应力的影响和热致变形规律。研究结果表明：空间可展开天线结构的应力和变形随时间历程发展与瞬态温度场变化趋势基本一致;同一瞬态温度场下,天线结构中心模块拉索热应力最大,同圈模块的弦杆热应力幅值基本相同,其上弦杆热应力逐圈增大,而拉索热应力逐圈减小;天线结构热致变形在距离约束最远端处整体累计值最大,上层中心点处累计热致变形可达15mm左右,对天线形面精度的影响不可忽略;将天线支撑桁架结构最外侧且距离结构中心最近的模块顶角和与相邻模块竖杆拼接处作为星载天线伸展臂约束时,天线结构的热致变形最小。将该处作为模块化空间可展开天线的展开支点,并建议对天线支撑结构表面采用涂刷隔热防护复合材料涂层等防护措施,以增加天线结构在太空极端环境的适应性,从而减小温度交变对天线整体形变和网面精度的影响。     

多目标多光谱高温仪的研制

根据固体火箭发动机羽焰特征研制了多目标多光谱高温仪。文中介绍了多光谱测温技术及测温仪系统构成。该系统可同时测量羽焰6个目标点的温度,每个目标点均有8个工作波长,可实现对发动机试验时羽焰流场轴向和环向多目标的温度动态测量。     

高温材料光谱发射率测量技术研究

针对发射率测量技术现状及面临的问题,明确了建立高温材料光谱发射率测量装置的意义,对所研究的测量装置的技术路线和设计方案进行了介绍。     

Validation of non-linear split window algorithm for land surface temperature estimation using Sentinel-3 satellite imagery: Case study; Tehran Province,Iran

In recent years, land surface temperature (LST) has become critical in environmental studies and earth science. Remote sensing technology enables spatiotemporal monitoring of this parameter on large scales. This parameter can be estimated by satellite images with at least one thermal band. Sentinel-3 SLSTR data provide LST products with a spatial resolution of 1 km. In this research, direct and indirect validation procedures were employed to evaluate the Sentinel-3 SLSTR LST products over the study area in different seasons from 2018 to 2019. The validation method was based on the absolute (direct) evaluation of this product with field data and comparison (indirect) evaluation with the MODIS LST product and the estimated LST using the non-linear split-window (NSW) algorithm. Also, two emissivity estimation methods, (1) NDVI thresholding method (NDVI-THM) and (2) classification-based emissivity method (CBEM), were used to estimate the LST using the NSW method according to the two thermal bands of Sentinel-3 images. Then, the accuracy of these methods in estimating LST was evaluated using field data and temporal changes of vegetation, which the NDVI-THM method generated better results. For indirect evaluation between the Sentinel-3 LST product, MODIS LST product, and LST estimated using NSW, four filters based on spatial and temporal separates between pairs of pixels and pixel quality were used to ensure the accuracy and consistency of the compared pairs of a pixel. In general, the accuracy results of the LST products of MODIS and Sentinel-3, and LST estimated using NSW showed a similar trend for LST changes during the seasons. With respect to the two absolute and comparative validations for the Sentinel-3 LST products, summer with the highest values of bias (?1.24 K), standard deviation (StDv = 2.66 K), and RMSE (2.43 K), and winter with the lowest ones (bias of 0.14 K, StDv of 1.13 K, and RMSE of 1.12 K) provided the worst and best results for the seasons in the period of 2018–2019, respectively. According to both absolute and comparative evaluation results, the Sentinel-3 SLSTR LST products provided reliable results for all seasons on a large temporal and spatial scale over our studied area.