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微观结构对MOCVD制备氧化铬涂层氢渗透性能的影响 被引量:3
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作者 何迪 李帅 +3 位作者 刘晓鹏 Stolyarov Vladimir Leonidovich pavel stabnikov Vladislav Krisyuk 《稀有金属》 EI CAS CSCD 北大核心 2018年第4期443-448,共6页
利用金属有机化学气相沉积(MOCVD)在316L不锈钢表面分别制备了(110)择优取向和随机取向的氧化铬涂层。利用扫描电子显微镜(SEM)和X射线衍射分析(XRD)分别对涂层的显微结构和相结构进行了表征。采用气相氘渗透方法对涂层的氢渗... 利用金属有机化学气相沉积(MOCVD)在316L不锈钢表面分别制备了(110)择优取向和随机取向的氧化铬涂层。利用扫描电子显微镜(SEM)和X射线衍射分析(XRD)分别对涂层的显微结构和相结构进行了表征。采用气相氘渗透方法对涂层的氢渗透性能进行测试。结果表明,择优取向的氧化铬涂层氢渗透率为P=4.58×10^-6exp(-112688/RT)(mol·m^-1·s^-1·Pa^0.5),而随机取向的氧化铬涂层氢渗透率为P=1.20×10^-5exp(-102057/RT)(mol·m^-1·s^-1·Pa^0.5)。在873,923,973 K时,择优取向涂层的氢渗透阻挡因子(PRF)分别为38.2,21.1和13.1,而随机取向涂层的PRF仅为2.6,1.9和1.5。对涂层显微结构的分析表明,择优取向的氧化铬涂层晶粒规则排列,易于得到结构致密的涂层;而随机取向的涂层,晶粒排列杂乱无序,易在涂层中产生通孔等缺陷,使得涂层的氢渗透性能出现大幅降低。 展开更多
关键词 阻氢渗透涂层 氧化铬 金属有机化学气相沉积 微观结构
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Description of the Nature Using the Models Developed in Euclidean Space
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作者 pavel A. stabnikov 《Natural Science》 2022年第2期78-93,共16页
In elucidating the laws of matter motion, it is necessary also to take into account the subjective human possibilities to think and construct models. These possibilities are restricted to the framework of Euclidean sp... In elucidating the laws of matter motion, it is necessary also to take into account the subjective human possibilities to think and construct models. These possibilities are restricted to the framework of Euclidean space. No problems could arise during the development of the laws of classical science. However, it was established later on that in some areas it was rather difficult to describe the motion of the matter in terms of Euclidean models. In these cases, researchers either introduce a space of higher dimensionality, use complex numbers, or make some deformations of our habitual Euclidean space. Those were exactly the cases for which the pseudo-Euclidean, Hilbertian, reciprocal, micro-Euclidean and other spaces were proposed. Humans are able to think only in terms of Euclidean space. So, to provide a correct description of unusual motion of matter, the necessity arises to transform the information into the understandable Euclidean space. The operators suitable for these purposes are Lorentz transformations, Schrodinger equation, the integral transformations of Fourier and Weierstrass, etc. The features of information transformations between different spaces are illustrated with the examples from the areas of X-ray structural analysis and quantum physics. 展开更多
关键词 Modeling in Euclidean Space Direct Inverse Hilbert and Other Spaces Integral Transformations An Increase in the Infinitesimal
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