材料表面残余应力测试技术研究

在生产、处理或加工材料的过程中,由于材料的局部区域的不均匀塑性变形,产生了残余应力。残余应力对疲劳强度、抗蚀性、尺寸稳定性、相变、硬度等均有影响;提高表面塑变抗力,降低表层的有效拉应力,可以抑制疲劳裂纹的萌生和扩展,提高疲劳强度。本文主要以结构钢、不锈钢类材料为研究对象,应用x射线衍射原理测定表面残余应力,讨论x射线法测残余应力的要点,分析能够影响测定结果的技术因素、材料因素及被测件的几何因素,并找出应力分析仪最佳的测试参数。     

聚酰亚胺复合材料的防辐射性能设计

以聚酰亚胺、氧化锆及金属铅粉为主要原材料,制备了聚酰亚胺基复合材料,并进行了X-射线衍射、紫外射线分析.结果表明,聚酰亚胺/氧化锆+金属铅复合材料比纯聚酰亚胺具有更好的X-射线防护性能,耐热性能仍然很好.     

Earth-Based Visible and Near-IR Imaging of Mercury

New planned orbiter missions to Mercury have prompted renewed efforts to investigate the surface of Mercury via ground-based remote sensing. While the highest resolution instrumentation optical telescopes (e.g., HST) cannot be used at angular distances close to the Sun, advanced ground-based astronomical techniques and modern analytical and software can be used to obtain the resolved images of the poorly known or unknown part of Mercury. Our observations of the planet presented here were carried out in many observatories at morning and evening elongation of the planet. Stacking the acquired images of the hemisphere of Mercury, which was not observed by the Mariner 10 mission (1974–1975), is presented. Huge features found there change radically the existing hypothesis that the “continental” character of a surface may be attributed to the whole planet. We present the observational method, the data analysis approach, the resulting images and obtained properties of the Mercury’s surface.     

C／C复合材料石墨化度的测定和评价

用Ｘ射线衍射方法对不同热处理温度下Ｃ／Ｃ复合材料石墨化度进行了测定，并对衍射峰进行了分峰处理。得出该材料由三种不同组元构成，即树脂炭，碳纤维和热解炭，求出各组元的石墨化度值及所占比例，进而得到试样的加权平均石墨化度。     

基于PO-PTD的航空器对下滑道结构影响的动态研究

下滑信标是仪表着陆系统的重要组成部分,为进近中的航空器提供垂直方位引导。进行障碍物对下滑信标信号影响的精确分析可以为导航台站选址及解决导航台运行中存在的问题提供理论依据。本文基于物理光学-物理绕射理论(Physical optics-physical theory of diffraction,PO-PTD)算法,结合空客A320-200型客机以及机场三维模型对下滑信标的下滑道结构影响进行了静态分析。在静态分析的基础上,对飞机在滑行道上滑行且五边上有飞机进近时的影响进行了动态研究,找出了某机场飞行员长期反映的下滑道信号不稳问题的原因。动态研究数据与飞行校验结果进行了比对并与飞行校验结果吻合。     

Performance verification of Lunar Regolith Penetrating Array Radar of Chang’E-5 mission

Lunar Regolith Penetrating Array Radar (LRPR) is one main payload of the Lander for Chinese Chang’E-5 (CE-5) mission. It is used to support the drilling and sampling device and to detect lunar regolith thickness and structure of the landing site. LRPR will only work in situ under static status, so the antenna array is employed. Since the antenna array is about 90?cm high from the ground, the layout is irregular, and the metal structure of the lander seriously interferes with LRPR, these factors make it very difficult to reconstruct the image of the drilling area, so the performance verification must be carried out. We propose a set of methods to process LRPR’s data and reconstruct image. The verification experiments demonstrate that these methods are suitable for LRPR, the thickness and structure of the lunar regolith from zero to two meters can be clearly mapped, the vertical resolution is a few centimeters, and the electromagnetic properties of the subsurface can be estimated. Therefore, the performance of LRPR meets the requirements, and LRPR can successfully support drilling and sampling.     

使用深度神经网络检测Cassini ISS图像中圆盘状星体轮廓

Cassini空间探测器光学成像系统（ISS）拍摄的图像中，很多卫星呈现为面元，其轮廓检测是天体测量的重要工作.使用神经网络方法进行ISS图像中面元轮廓检测.每个ISS图像的像素分为轮廓边缘和非轮廓两类.使用神经网络框架TensorFlow，输入每个像素的9个特征，输出每个像素的分类.利用约3.6万个像素训练该网络，通过380幅ISS图像进行测试.与人工标记结果相比，轮廓像素检测的平均精确率为78.26%，平均召回率为73.32%.以检出轮廓像素作为输入，通过椭圆拟合得到面元的轮廓，所得轮廓与面元真实轮廓吻合良好.研究结果表明该方案能够有效检测出面元轮廓，进而给出假图像星的排除范围.      

Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery

A statistical model is proposed for analysis of the texture of land cover types for global and regional land cover classification by using texture features extracted by multiresolution image analysis techniques. It consists of four novel indices representing second-order texture, which are calculated after wavelet decomposition of an image and after texture extraction by a new approach that makes use of a four-pixel texture unit. The model was applied to four satellite images of the Black Sea region, obtained by Terra/MODIS and Aqua/MODIS at different spatial resolution. In single texture classification experiments, we used 15 subimages (50 × 50 pixels) of the selected classes of land covers that are present in the satellite images studied. These subimages were subjected to one-level and two-level decompositions by using orthonormal spline and Gabor-like spline wavelets. The texture indices were calculated and used as feature vectors in the supervised classification system with neural networks. The testing of the model was based on the use of two kinds of widely accepted statistical texture quantities: five texture features determined by the co-occurrence matrix (angular second moment, contrast, correlation, inverse difference moment, entropy), and four statistical texture features determined after the wavelet transformation (mean, standard deviation, energy, entropy). The supervised neural network classification was performed and the discrimination ability of the proposed texture indices was found comparable with that for the sets of five GLCM texture features and four wavelet-based texture features. The results obtained from the neural network classifier showed that the proposed texture model yielded an accuracy of 92.86% on average after orthonormal wavelet decomposition and 100% after Gabor-like wavelet decomposition for texture classification of the examined land cover types on satellite images.     

硅基底上外延生长过渡金属硅化物薄膜的研究

过渡金属与硅的接触系统一直被人们所关注,是因为它们在界面处具有肖特基势垒的形成、过渡金属硅化物的外延生长、制作器件的稳定和耐高温等重要性.因此在硅基底上形成金属硅化物薄膜也被广泛应用于半导体工业.对硅衬底上蒸发的Cr、Fe、Mn薄膜进行热处理,通过固相反应法(SPR)制备过渡金属硅化物薄膜,即经过对过渡金属硅化物(薄膜)/Si系统进行各种温度、不同时间的热处理,制备出各种过渡金属硅化物薄膜.对于制成的各种硅化物薄膜,用X射线衍射法(XRD)和软X射线发射分光光谱法(SXES)对它们的组成成分进行了分析和确认.并且,由这两种分析方法表明:各种过渡金属硅化物薄膜在硅衬底上各形成了单一相的均匀层硅化物薄膜.