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121.
细粒级掺杂石墨材料的制备及其出气特性的研究 总被引:3,自引:2,他引:1
通过球磨分散方法制备了细粒级掺杂石墨 ,采用SEM、EDX、TEM、XRD等手段分析了材料微观结构 ,并对其性能作了初步研究。研究表明 :当原始粉粒径小于 10 0nm时 ,材料具有高的热导率和优良的物理机械性能 (抗弯强度为 116MPa) ,与粗晶石墨材料相比 ,细晶石墨材料在电子束辐照前的出气性能与其基本相同。而辐照之后 ,细晶石墨材料释放的H2 、H2 O、CO ,特别是CO2 的量远远少于粗晶石墨材料释放的量 相似文献
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We introduce a modified form of exergy named eco-exergy as an ecological indicator. Exergy of detritus and of various organisms are found based upon the definition of eco-exergy. Eco-exergy measures a system's deviation from chemical equilibrium. It is, therefore, crucial to find the concentration of detritus and the various organisms at chemical equilibrium which is possible by the calculation of the probability to form detritus and the various organisms by chemical equilibrium. It implies that the probability to form proteins with the right amino acid sequence must be determined by the use of the amount of coding genes. It is stressed that what we determine by this method of exergy calculation is a relative eco-exergy index. It is not possible to find the eco-exergy of entire ecosystems, because they are far too complex to allow us to know all the details of an ecosystem. The eco-exergy indices have been found in a few cases to demonstrate the usefulness of the method and to show how the exergy indices can be translated to applicable ecological information. 相似文献
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ENDOW (efficient development of offshore wind farms): modelling wake and boundary layer interactions
Rebecca Barthelmie Gunner Larsen Sara Pryor Hans Jrgensen Hans Bergstrm Wolfgang Schlez Kostas Rados Bernhard Lange Per Vlund Sren Neckelmann Sren Mogensen Gerard Schepers Terry Hegberg Luuk Folkerts Mikael Magnusson 《风能》2004,7(3):225-245
While experience gained through the offshore wind energy projects currently operating is valuable, a major uncertainty in estimating power production lies in the prediction of the dynamic links between the atmosphere and wind turbines in offshore regimes. The objective of the ENDOW project was to evaluate, enhance and interface wake and boundary layer models for utilization offshore. The project resulted in a significant advance in the state of the art in both wake and marine boundary layer models, leading to improved prediction of wind speed and turbulence profiles within large offshore wind farms. Use of new databases from existing offshore wind farms and detailed wake profiles collected using sodar provided a unique opportunity to undertake the first comprehensive evaluation of wake models in the offshore environment. The results of wake model performance in different wind speed, stability and roughness conditions relative to observations provided criteria for their improvement. Mesoscale model simulations were used to evaluate the impact of thermal flows, roughness and topography on offshore wind speeds. The model hierarchy developed under ENDOW forms the basis of design tools for use by wind energy developers and turbine manufacturers to optimize power output from offshore wind farms through minimized wake effects and optimal grid connections. The design tools are being built onto existing regional‐scale models and wind farm design software which was developed with EU funding and is in use currently by wind energy developers. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献