缓进给断续磨削时射流冲击强化磨削弧区换热的实验研究

在缓进给磨削时烧伤机理分析的基础上,提出了高压射流冲击强化磨削弧区换热的创新构想,并通过缓进给断续磨削时施加侧向射流冲击弧区的磨削实验研究其换热效果。实验结果表明,射流冲击强化换热技术确是提高弧区换热效率的有效方法,且射流速度越高,换热效果越好。该研究将在解决难加工材料磨削烧伤领域具有广阔的应用前景     

人工神经网络在某型航空发动机故障诊断中的应用

介绍了神经网络在航空发动机故障诊断中的应用 ,给出了利用神经网络方法进行航空发动机故障诊断的方法和步骤及需注意的关键问题 ,并利用神经网络方法诊断了加力泵不供油故障     

Analysis of precipitable water vapour characteristics from GNSS measurements during the snow season in Liaoning Province,China

Global Navigation Satellite System (GNSS) remote sensing precipitable water vapour (PWV) data from November 2015 to March 2019 were combined with snowfall observation data and used to analyse PWV characteristics in Liaoning Province during the snow season (from November to March the following year) and their relationship with snowfall. The potential of using GNSS for PWV measurements was demonstrated using sounding data with a correlation coefficient higher than 0.9 and a mean bias error lower than 0.5 mm. According to the GNSS PWV data gathered at 30-min intervals from 68 GNSS stations in Liaoning during the snow season, the monthly PWV average was highest in November and lowest in January. Negative correlations were found between PWV and altitude. Most of the water vapour was concentrated in the low layer of the atmosphere, and the contribution of this vapour to the PWV was higher during the snow season than in summer. A total of 43 snow cases were identified using the snowfall records from 53 GNSS stations, and the characteristics of PWV during these snowfalls were analysed. An increase in PWV was observed before snowfall events. Moreover, the influence of synoptic systems and air mass origins on PWV was analysed based on National Centers for Environmental Prediction (NCEP) reanalysis data and the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The results show that the water vapour condition was better when the synoptic systems or air masses came from areas south of Liaoning.     

Assessing ecohydrological factors variations and their relationships at different spatio-temporal scales in semiarid area,northwestern China

As a typical semiarid farming-pastoral ecotone sensitive to the environmennt, the Plain of West Liaohe Basin (WLBP) is currently experiencing drastic environmental changes. To identify how environmental change affect vegetation in the WLBP, we analysed spatiotemporal variation characteristics of Ecological environment factors based on monthly and annual air temperature (T), precipitation (P) and Normalized Difference Vegetation Index (NDVI) from 1982 to 2015. And the correlations between them were investigated by correlation analysis (Simple correlation, partial correlation and complex correlation) at temporal and spatial scale. The results showed that: (1) the vegetation growth of the WLBP showed ameliorated trend, with a change rate of 0.004/yr.; (2) P was more sensitive to NDVI than T; (3) and the influence of hydrothermal changes on vegetation growth was more significant than that of the change of single climate factors at time scales; (4) the effects of anthropogenic factors on vegetation change were 75.07% (1982–1993) and 98.08% (1994–2015), respectively. At the temp-special scales, P&T and land use type change (LUCC) were the main climatic and anthropogenic factors that affect vegetation changes, respectively.     

Sensor calibration impacts on dust detection based on MODIS and VIIRS thermal emissive bands

Dust detection using remotely sensed measurements has been one of the challenging problems encountered by atmospheric scientists. MODerate Resolution Imaging Spectroradiometer (MODIS) on the Terra (T) and Aqua (A) platforms have been a versatile sensor for well over 21 and 18 years respectively, and have been extremely useful in the retrieval of aerosol information over the entire globe. The MODIS radiances from the Level 1B in general are expected to be within 5% accuracy in the reflective wavelengths and within 1% in the thermal emissive wavelengths. In this paper, we evaluate the sensitivity of previously developed dust detection technique based on thermal emissive wavelengths, which correspond to MODIS bands 20, 29, 31, and 32 respectively. The Thermal Emissive Dust Index (TEDI) performed very comparably to the traditional Aerosol Optical Thickness (AOT) retrievals by MODIS reflective channels. Since the MODIS Thermal Emissive Bands (TEB) are well calibrated on-orbit using a BlackBody (BB) source, the calibration of these long wave infrared bands is quite robust. As A-MODIS continues to perform well beyond its designed lifetime of 6 years, the instrument has undergone various levels of degradation during its mission time. As a consequence, it is imperative to check the impacts of calibration on the higher-level retrievals. In this paper, we rigorously analyze the sensitivity of TEDI due to the impact of calibration by the afore-mentioned TEB. The perturbation of the dominant (linear) calibration term demonstrated the following: first, there was a correlation in the sensitivity of the TEDI due to the uncertainty in the linear calibration term. Based on a perturbation in the linear calibration term for all aforementioned bands over a range of ±5% yielded the TEDI sensitivity to vary from approximately ?3.2% to about ?3.6%. When considering the uncertainty in each individual band significant changes were observed. The least change was observed for the perturbation in the calibration of band 20 with the TEDI sensitivity and the largest sensitivity in TEDI was observed in the perturbation of band 31 calibration. Thus, in the case of TEDI, noticeable sensitivity due to calibration uncertainty was observed in bands 29, 31, and 32, reiterating the importance of the TEB calibration in these bands. Also, the dust detection scheme based on A-MODIS was successfully transferred to the follow-on sensors such as Suomi (SNPP) and NOAA 20 (N20) VIIRS. The results presented in this paper would be extremely helpful in understanding impacts of calibration on the higher-level products for both current and future missions based on the MODIS heritage. Finally, the work also identifies the importance of radiometric fidelity in maintaining the accuracy of the dust detection. Results presented will show drastic improvement of the Saharan dust detection after the reduction of the electronic crosstalk in the 8.5 µm channel of T-MODIS.     

射频辉光放电法沉积类金刚石碳膜

研究了碳氢气体通过射频辉光放电沉积类金刚石碳膜。研究了射频电压和沉积时间对膜厚和维氏显微硬度的影响。此外,还进行了微动磨损试验。本实验所用的碳氢气体为C_2H_2,基体材料为TC4钛合金(Ti-6％Al-4％V)和45钢(Fe-0.45％C)。     

空间光学系统真空热试验污染控制经验综述

真空热试验过程中光学系统可能受到严重污染,因此需制定严格的污染控制措施。文章对NASA、ESA、JAXA 等航天机构的卫星光学系统真空热试验中典型、有代表性的污染控制经验进行了综述,并对我国光学系统真空热试验污染控制提出了若干建议。     

极化扭转技术在毫米波天线中的应用

本文简述了极化扭转反射器的工作原理，将极化扭转技术应用到毫米波天线中去的几个主要应考虑的因素；探讨了在倒置卡塞格伦天线中主、副反射面上栅条的成型技术；在经过优化设计基础上对加工而成的毫米波天线进行了测试，给出实测结果并对结果进行了分析。     

航天器在轨泄漏声发射信号特征分析

载人航天器的防护要求不断增强, 在轨泄漏检测的重要性日益凸现。文章阐述了航天器在轨泄漏声发射检测的基本原理, 介绍了泄漏检测系统的基本组成及性能参数。通过泄漏声发射检测实验, 利用频谱分析法和特征参数分析法对不同孔径圆形漏孔泄漏产生的声发射信号进行研究, 得到了泄漏声发射信号的频谱和特征参数。实验结果表明, 机械泵运行产生的背景噪声信号主要分布在10 kHz以下, 而气体泄漏产生的是高频声发射信号, 且漏孔越小, 信号能量越小, 高频成分所占比例越大。该研究对于航天器在轨泄漏的检测及泄漏量评估等具有实际意义。     

论斩波放大器的稳定性

为了研究斩波放大器的稳定性问题,首先对解调器的稳态特性作全面分析,然后研究放大器整体的持续运行特征,发现可以构成两个不同的“持续工作点”。信号以不同方式输入可使放大器运行在不同的持续工作点上,从而揭示斩波放大器的不稳定性。根据这些结果,最后给出稳定性判据和消除不稳的方法。