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101.
以超临界二氧化碳(S-CO_2)干气密封为研究对象,建立变黏度变密度雷诺方程,通过构建物性数据库的方式对黏度及密度进行处理,并采用有限差分法对控制方程进行求解,得到端面压力分布,并计算开启力、泄漏量、摩擦扭矩和气膜刚度等稳态性能参数。结果表明:随着压力、转速的增大,开启力、泄漏量、摩擦扭矩、气膜刚度等参数均增大;随着槽坝比和槽深的增加,开启力、泄漏量和气膜刚度均增大,摩擦扭矩减小;随着槽数的增加,各稳态性能参数均减小;将槽坝比控制在0.5~1的范围内,有助于提高密封稳定性。 相似文献
102.
利用悬浮态高温炉,对比研究了菱镁矿及石灰石的热分解特性,探讨了其热解模型及动力学参数。结果表明:低温段(650~750℃)时,菱镁矿比石灰石易分解,达到一定高温后其分解速率相差不大;菱镁矿、石灰石在悬浮态下的热解机理均符合收缩核模型,其活化能分别为50 kJ/mol、79 kJ/mol;随着菱镁矿粒度的增大,其分解速率趋缓,分解表观活化能增大。 相似文献
103.
在390℃温度下对AZ31镁合金进行固态扩渗Zn+La2O3(扩渗剂中的质量分数为0.4%)处理,扩渗时间分别为0、2、4、6h。研究了不同扩渗时间下镁合金表面渗层组织的变化,并测试了镁合金表面扩渗层的硬度和耐腐蚀性能。结果表明:当扩渗时间为2h时,未出现渗层;当扩渗时间为4h时,扩渗层中出现了Mg0.97Zn0.03固溶体和Mg-Zn化合物(MgZn+Mg2Zn3+MgZn2+ Mg2Zn11)。随着扩渗时间的延长,使得Zn原子的扩渗能力增强,Mg和Zn反应扩散形成了多种化合物,在AZ31镁合金表面得到了渗层。当扩渗时间为6h时,Mg7Zn3作为一种新相出现在了渗层中,同时,渗层组织粗化。扩渗试样的硬度随扩渗时间的增加而增加,而耐腐蚀性能在扩渗时间为4 h时为最佳。 相似文献
104.
Y.F. Gomes Jun Li K.F. Silva A.A.G. Santiago M.R.D. Bomio C.A. Paskocimas M.A. Subramanian F.V. Motta 《Ceramics International》2018,44(11):11932-11939
In this paper, a new synthetic pathway is proposed for the system YIn1-xMnxO3, a bright blue inorganic pigment, discovered in 2009. Blue pigment samples with increasing concentration of Mn3+ (x?=?0.08, 0.12 and 0.16) were prepared using the complex polymerization method (CPM) and compared with those synthesized via solid state reaction. All powders, the amorphous precursor from CPM and the starting materials for solid state method, were calcined at 1000, 1100, 1200 and 1300?°C for 12?h, and the resulting blue pigments were characterized by X-ray diffraction (XRD), colorimetric system CIE L*a*b* and Near infrared (NIR) reflectance measurements. XRD patterns and Rietveld Refinement show that the lowest temperature at which single hexagonal phase (isostructural to YInO3) is formed is 1000?°C for CPM method and 1300?°C for conventional solid state method, respectively. The L*a*b* values demonstrate that the coloration of powders prepared by CPM exhibit temperature dependence below 1300?°C, a color shade shift from grayish blue to intense deep blue is observed when heating the samples from 1000 to 1300?°C. Blue pigments obtained by CPM have smaller particle size due to low temperatures and excellent near-infrared reflectance comparable to those by solid state method. Thus, providing advantages for application process and energy efficiency. 相似文献
105.
M. Kamal Warshi Vikash Mishra Vinayak Mishra Rajesh Kumar P.R. Sagdeo 《Ceramics International》2018,44(12):13507-13512
Rare-earth orthoferrites (RFeO3) are well-known for the antiferromagnetic ground state. However, some of the recent experimental results suggest that the few members of RFeO3 family possess ferromagnetism. In the present investigation we report the possible origin of ferromagnetism in antiferromagnetic YFeO3 using density functional theory. For this purpose, we have considered pure as well as self-doping in YFeO3 i.e. by considering the point defect at Y, Fe and O sites. Our finding suggests that the point defects in YFeO3 results in the mixed-valence state of Fe, which may result in ferromagnetism through Zener double exchange mechanism. 相似文献
106.
Ju-Hwan Han Jin-Myung Choi Seong-Hyeon Lee Woojin Jeon Jin-Seong Park 《Ceramics International》2018,44(17):20890-20895
Silicon nitride (Si3N4) films have received great attention not only as dielectric materials for the gate dielectric of transistors and the insulator of capacitors, but also as a buffer layer and etch-stop layer for the semiconductor industry. As the applications of Si3N4 film increase, the necessity of investigating a novel deposition process applicable at low temperature has emerged. In this regard, the plasma-enhanced atomic layer deposition (PEALD) technique is attractive as a promising process; however, the Si3N4 film deposition process at growth temperatures less than 150?°C using PEALD has not been investigated. In this work, the growth behavior and chemistry of SiNx (x?<?1.33) film deposited by the PEALD process at various growth temperatures were developed. Insufficient thermal energy from low growth temperature induces an unstable chemical state of deposited film due to the remaining unreacted ligand of adsorbed precursors. This state results in a further chemical reaction to SiO2 formation by air exposure. Other chemical effects depending on chemical composition and electrical property were also examined in detail. 相似文献
107.
非高斯噪声广泛存在于各种非线性系统,对非高斯噪声所驱动系统的非稳态演化行为进行研究可以更为深入的了解其内在的演化机理.本文对非高斯噪声和高斯白噪声共同驱动的非线性动力学系统的非稳态演化问题进行研究.首先应用格林函数的 $\Omega$ 展开理论在初始区域对非线性动力学系统进行线性化,然后结合本征值和本征矢理论推导出了该系统 Fokker-Planck 方程的近似非稳态解的表达式,最后以 Logistic 系统模型为例分析了非高斯噪声强度,关联时间及非高斯噪声偏离参数对非稳态解以及一阶矩的影响.研究结果表明,用 Logistic 模型描述产品产量增长时,其非稳态解可更好地反映产品产量在不稳定点附近的演化行为. 相似文献
108.
Xiaoyang Du Yi Yuan Lei Zhou Hui Lin Caijun Zheng Junyi Luo Zhenhua Chen Silu Tao Liang‐Sheng Liao 《Advanced functional materials》2020,30(15)
Charge transfer state (CT) plays an important role in exciton diffusion, dissociation, and charge recombination mechanisms. Enhancing the utilization and suppressing the recombination process of CT excitons is a promising way to improve the performance of organic solar cells (OSCs). Here, an effective method is presented via introducing a delayed fluorescence (DF) emitter 3,4‐bis(4‐(diphenylamino)phenyl)acenaphtho[1,2‐b]pyrazine‐8,9‐dicarbonitrile (APDC‐TPDA) in OSCs. The long‐lifetime singlet excitons on APDC‐TPDA can transfer to polymer donors to prolong exciton lifetime, which ensures sufficient time for diffusion and dissociation. Concurrently, the high triplet energy level (T1) of the DF material can also prevent the reverse energy transfer from CT to T1. APDC‐TPDA‐containing ternary OSCs shows a high PCE of 16.96% with a reduced recombination energy loss of 0.46 eV. It is noteworthy that the ternary OSC also exhibits superior storage stability. After 55 days of storage, the PCE of the ternary OSC still retains about 96% of its primitive state. Furthermore, this ternary strategy is efficient and universally applicable to OSCs, and positive results can be obtained in different systems with different DF emitters. These results indicate that the ternary strategy provides a new design idea to realize high performance OSCs. 相似文献
109.
Cyril Poriel Cassandre Quinton Fabien Lucas Joëlle Rault-Berthelot Zuo-Quan Jiang Olivier Jeannin 《Advanced functional materials》2021,31(43):2104980
Spirobifluorene (SBF) is one of the most important scaffolds used in the design of organic semi-conductors (OSCs) for electronics. In recent years, among all the structures developed for these applications, SBF dimers have been highlighted due to their great potential in thermally activated delayed fluorescence and in phosphorescent organic light-emitting diodes. Attaching two SBF units generate 10 dimers, each possessing its own structural specificity, which in turn drives its electronic properties. These ten SBF dimers are gathered herein. Understanding how the molecular assembly determines the electronic properties has been one of the pillars of organic electronics. This is the goal of this article. As positional isomerism is a key tool to design OSCs, defining the design guidelines for the SBF scaffold appears of interest for the future of this building block. Herein, the importance of the two main parameters involved in the electrochemical and photophysical properties, namely the nature of the phenyl linkages and the steric congestion between the two SBF units is discussed. The combination of these two parameters drives the electronic properties but their respective weight is different as a function of the regioisomer involved or of the property considered (frontier orbitals energy level, absorption, fluorescence, phosphorescence). 相似文献
110.
We present a data-driven method for monitoring machine status in manufacturing processes. Audio and vibration data from precision machining are used for inference in two operating scenarios: (a) variable machine health states (anomaly detection); and (b) settings of machine operation (state estimation). Audio and vibration signals are first processed through Fast Fourier Transform and Principal Component Analysis to extract transformed and informative features. These features are then used in the training of classification and regression models for machine state monitoring. Specifically, three classifiers (K-nearest neighbors, convolutional neural networks and support vector machines) and two regressors (support vector regression and neural network regression) were explored, in terms of their accuracy in machine state prediction. It is shown that the audio and vibration signals are sufficiently rich in information about the machine that 100% state classification accuracy could be accomplished. Data fusion was also explored, showing overall superior accuracy of data-driven regression models. 相似文献