测定钠中杂质的手动阻塞计的研究

文章介绍了测定钠中杂质浓度的手动阻塞计的原理、装置和实验结果。为了减少测量误差,我们研究了影响准确测定阻塞温度的因素,并且找到了减少测量误差的办法。在同样的杂质饱和温度下,该阻塞计测得的高、低阻塞温度所对应的杂质浓度差是很接近的。对氧其差值为1.03ppm;对氢为0.0763ppm。     

火电机组运行优化系统的现状与展望

简单回顾了国内外在火电机组运行优化领域的研究历程，列举了目前国内外市场上针对火电机组的各种主流运行优化产品的功能特点和应用情况，分析了国外引进产品和国内自主研发产品在中国当前市场环境下各自的优势和劣势。介绍了当前运行优化系统在国内电站机组的应用现状，阐述了国内外运行优化系统在实际应用中存在的问题，并提出了相应的改进意见。对机组运行优化系统的未来发展进行了展望，指出机组运行优化系统将利用先进技术设备和信息平台，与电站管理紧密结合，在日益规范的市场中不断发展完善，为提高电站经济性发挥更大的作用。     

Hydrolysis of Milk Fat with Lipase in Reversed Micelles

Enzymatic hydrolysis of milk fat was studied in a reversed-micelle system consisting of lecithin, water (1% total volume) and butteroil. Candida cylindracea lipase entrapped in the water pools of reversed micelles hydrolyzed surrounding triglycerides. The optimum temperature for enzyme activity was 55°C with an activation energy of 15.4 kcal/mole, while maximum enzyme activity was observed between pH 4 to 6. The molar ratio of water to surfactant (R value) in the system influenced enzyme activity with maximum activity at R = 10. Enzyme activity also increased with increasing surfactant or enzyme concentration.     

蒸汽喷射器射流场流动模型研究综述

综述了3种不同维数的喷射器射流场流动模型的研究工作,分析了3种模型各自的特点后指出,一维模型的建立主要基于定压混合理论或定常面积混合理论;二维偏微分方程模型建立后基于差分法等数值算法进行求解.随着网格技术和计算方法的提高,三维粘性射流场中激波和湍流的数值模拟发展迅速.     

以硅氧烷醇锂为催化剂的氟硅生胶的合成

介绍了单体三氟丙基甲基环三硅氧烷通过硅氧烷醇锂催化剂聚合成氟硅生胶,讨论了不同催化剂及其用量,原料中水分含量、不同乙烯基含量对氟硅生胶分子量的影响.     

高精度智能转速测量模板的设计

介绍了一种利用高性能的16位单片机80C196KC进行转速实时高精度的测量方法，阐述了如何通过CAN总线实现与微机通讯；详细描述了硬件电路的设计，并给出了软件程序框图。     

本钢7号高炉中控室10kV供电系统技术分析及改进方案实施

根据7号高炉中控室供电状况，进行了供电平衡分析。调整两段负荷，使供电平衡安全。     

Matrix expression and reachability analysis of finite automata

In this paper,we propose a matrix-based approach for finite automata and then study the reachability conditions.Both the deterministic and nordeterministic automata are expressed in matrix forms,and th...     

Multi-channel SAR imaging based on distributed compressive sensing

The rapid development of compressive sensing(CS)shows that it is possible to recover a sparse signal from very limited measurements.Synthetic aperture radar(SAR)imaging based on CS can reconstruct the target scene with a reduced number of collected samples by solving an optimization problem.For multi-channel SAR imaging based on CS,each channel requires sufficient samples for separate imaging and the total number of samples could still be large.We propose an imaging algorithm based on distributed compressive sensing(DCS)that reconstructs scenes jointly under multiple channels.Multi-channel SAR imaging based on DCS not only exploits the sparsity of the target scene,but also exploits the correlation among channels.It requires significantly fewer samples than multi-channel SAR imaging based on CS.If multiple channels offer different sampling rates,DCS joint processing can reconstruct target scenes with a much more flexible allocation of the number of measurements offered by each channel than that used in separate CS processing.