石英晶体薄膜厚度差动测量技术的研究􀀁

本文介绍一种石英晶体膜测厚的差动工作方式。它的厚度测量精度为１ｎｍ，分辨率为纳米级，其温度稳定性在０－＋４００℃范围内达到５０Ｈｚ。这种差动测量技术不仅可在真空镀膜工艺中实现在线测量，而且在纳米技术及超精细加工中具有广阔应用前景。     

遗传算法在直流传感器磁屏蔽体优化设计中的应用

应用遗传算法对直流传感器的磁屏蔽体进行优化设计,对遗传算法的适应度线性尺度变换作了改进.文中选取直流传感器的磁屏蔽效能为目标函数,给出了一个具体设计实例.优化后磁屏蔽效能增大了534,表明在磁屏蔽体优化设计中采用改进的遗传算法取得了良好效果.     

极小布尔不可满足子式的提取算法

研究了极小布尔不可满足子式的提取算法，它分为近似算法和精确算法两种．文中就精确算法提出了局部预先赋值的优化方案，并且在理论上证明了该算法的正确性；通过实验显示了此算法可以获得更高的效率．通过模拟实验观察到，利用完法计算法进行近似提取的一个有趣现象，即随着公式密度的增加，算法的提取误差会趋于下降．     

基于智能卡和指纹识别的校园综合管理信息系统

本文介绍了智能卡和指纹识别技术．论述了智能卡在校园综合信息管理中的应用及其特点。提出了一种基于智能卡和指纹识别技术的校园综合管理信息系统的解决方案。     

研究生教育管理模式探讨

随着研究生教育规模的扩大,研究生教育管理理念必须与时俱进.文章结合学校实际,从加强党的领导地位和凝聚力切入,围绕创新研究生素质教育、强化研究生自我管理、营造研究生成才环境等展开讨论,旨在探讨创建有特色的开放式研究生教育管理模式.     

330MW汽轮机组给水泵出力不足的热力性能分析

对某电站330MW汽轮机组水泵出力不足的问题，通过热力性能试验及系统分析，认为影响汽轮机汽动给水泵组出力不足的原因是小汽轮机轴功率输出不够，建议降低小汽轮机排汽压力，改造小汽轮机通流部分，以提高小汽轮机的输出轴功率。     

基于非时序模型的新能源消纳能力评估方法

随着风电和光伏装机容量的快速增长,弃风和弃光问题日益突出,开展新能源消纳能力研究,建立消纳能力量化评估体系对电网调度的运行和控制工作有着重要的意义。文中提出了一种基于非时序分析模型的新能源消纳能力量化评估方法。该方法基于概率分析理论,首先利用阿基米德Copula函数构建了新能源理论出力的概率分布,通过负荷特性构建了系统新能源消纳空间的概率分布,进而得到了系统新能源弃电功率的概率分布。然后,再通过新能源弃电功率的概率分布计算得到新能源弃电率,评估系统的新能源消纳能力。最后,基于EPRI 36机组系统验证了所提方法的正确性和有效性,并分析了负荷、新能源装机容量、常规机组调峰率以及备用水平对弃电率的影响。     

新型四辊冷轧机工作辊双向移动技术

新型四辊冷轧机工作辊双向移动技术极大地提高了板形控制能力，降低了板带轧制过程中产生的边降，延长了轧辊使用周期，可广泛应用于板带轧制。     

Investigation of mass transport and cell performance on μDMFC with different anode flow fields

The study systematically analyzes the performance of micro direct methanol fuel cell (μDMFC) with different flow fields. A two‐phase three‐dimensional model is developed to evaluate the mass transport accurately. The transport of methanol and air, the pressure distribution, the anode saturation, and the methanol crossover are numerically observed, the under‐rib convection is also investigated numerically. The flow fields with an active area of 0.64 cm² are fabricated on silicon wafers by micro electromechanical system technology. Performance of μDMFCs with different flow fields is sorted as: double‐serpentine flow field (DSFF) > single‐serpentine flow field (SSFF) > triple‐serpentine flow field (TSFF), and the dynamic test results indicate the cell with DSFF takes the shortest time to reach a stable power output when compared with other cells. Copyright © 2013 John Wiley & Sons, Ltd.     

Experimental study and energy analysis on microwave-assisted lignite drying

For value-added utilization of high-humidity lignite, an investigation on its drying behavior was carried out, using a method of Microwave Thermogravimetric Analysis (MTGA). The characteristic of heat and mass transfer during drying process was studied. The effects of initial lignite mass on its drying process and energy consumption were also addressed. In addition, changes of lignite pore structure, sulfur content, and calorific value were tested after drying experiment. The results indicated that lignite microwave drying was divided into three stages: incubation stage, high-efficient dehydration stage, and deep dehydration stage. It was in agreement with the variation of temperature inside the sample. High-efficient dehydration stage and deep dehydration stage were separated at a critical moisture content. Microwave power and initial mass could be properly matched, which was effective to increase dehydration rate and decrease energy consumption. It was further noted that the best power for achieving the least energy consumption was in advance to that for achieving the greatest dehydration rate, especially for initial mass of 20?g and 25?g. The optimum power for initial mass of 20?g and 25?g was found to be 385?W and 539?W, respectively. Pore structure of dried lignite was basically deteriorated. Meanwhile, lignite microwave drying at 231?W for 6?min could lead to an increase of calorific value by 8.1% and a decrease of sulfur content by 68.6%.