油罐清洗作业防火安全措施

目前大型原油储罐逐步应用自动机械清洗系统进行清罐作业,而对于容量小、沉积物较少的油罐国内仍采用人工清洗方式进行。分析了油罐人工清洗作业过程时容易引发火灾的原因,并提出相应的预防火灾措施。     

企业施工定额的编制以及施工成本分析平台的应用

本文阐述了施工企业内部编制定额的必要性和成本分析平台的实用性,并根据多年的工作经验就建筑施工企业对施工成本的控制谈谈一自己的认识和看法.     

A study of the effects of the location of flashing inception on maximum and minimum critical two-phase flow rates:: Part II: analysis and modelling

A general unified model is developed to predict one-component critical two-phase pipe flow. An extension of the Henry [Henry, R.E., 1970. The Two-Phase Critical Discharge of Initially Saturated or Subcooled Liquid. Nucl. Sci. Eng. 41, 336-342.] and Henry and Fauske [Henry, R.E., Fauske, H.K., 1970. The two-Phase critical Flow of One-Component Mixtures in Nozzles; Orifices and Short Tubes, ASME J. Heat Transfer, May 1970.] models to incorporate the effects of wall friction and the location of flashing inception is proposed. Modelling of the two-phase flow is accomplished by describing the evolution of the flow between the location of flashing inception and the exit (critical) plane. The model approximates the nonequilibrium phase change process via thermodynamic equilibrium paths. Included are the relative effects of varying the location of flashing inception, pipe geometry, fluid properties and length to diameter ratio. The model predicts that a range of critical mass fluxes exist and is bound by a maximum and minimum value for a given thermodynamic state. This range is more pronounced at lower subcooled stagnation states and can be attributed to the variation in the location of flashing inception. The model is based on the experimental study of critical two-phase flow rates of saturated and subcooled water through long tubes given in Part I of this work. In that study, the location of flashing inception was accurately controlled and adjusted through the use of a new device. The data obtained revealed that for fixed stagnation conditions, the maximum critical mass fluxes occurred with flashing inception located near the pipe exit; while minimum critical mass fluxes occurred with the flashing front located further upstream. The results of the present study, as well as available data since 1970 are compared with the model predictions. These data cover a wide range of conditions and include test section L/D ratios from 25 to 302 and a temperature and pressure range of 110-280°C and 0.16-6.9 Mpa, respectively. The predicted maximum and minimum critical mass fluxes show an excellent agreement with the range observed in the experimental data.     

碘量法测铜中物质性质和分析操作

本文讨论了碘量法测定铜量中一些有关物质的特性,以及这些性质对分析条件和操作的要求。     

THE USE OF TRANSMISSION AND TRANSFLECTANCE NEAR INFRARED SPECTROSCOPY FOR THE ANALYSIS OF BEER

Both transmission and transflectance near infrared spectroscopy have been evaluated for the rapid analysis of beer components. Results of sufficient accuracy have been obtained for ethanol content and Original Gravity. Application of a first derivative mathematical treatment on the spectral data improved calibration equations. Better accuracy was achieved using the transmission mode compared to that using the transflectance mode.     

复杂信息处理中因果关联模型的构建及主因判定算法

近来，诸如图形图像、音频视频等复杂类型信息的分析和处理，已日益受到各学科领域专家和学者的重视，文章首先介绍了复杂信息处理中因果关联模型的构建，然后给出了主因分析方法的构造和实现过程，并提出了具体的算法和实例检验。     

NaSCN装置脫色釜H_2S爆燃的原因分析与对策

分析了NaSCN装置脱色釜爆燃的原因,找出了引起爆燃的主要因素,提出了脱色生产安全防范措施。     

深亚微米集成电路的快速时域仿真技术

随着深亚微米集成电路技术的发展，集成电路的规模越来越大，工作频率越来越高，并正朝着系统集成的方向发展，因而在模拟速度，模拟精度和可模拟的电路规模等各个方面对电路仿真技术提出了新的要求。近年来，各种新的电路仿真方法和仿真系统用相继脱颖百出，并将取代那些传统的，已经无法适应深亚微米技术发展的电路仿真器。     

Integrating neural network technology and noise analysis

The integrated use of neural network and noise analysis technologies offers advantages not available by the use of either technology alone. The application of neural network technology to noise analysis offers an opportunity to expand the scope of problems where noise analysis is useful and unique ways in which the integration of these technologies can be used productively. The two-sensor technique, in which the responses of two sensors to an unknown driving source are related, is used to demonstration such integration. The relationship between power spectral densities (PSDs) of accelerometer signals is derived theoretically using noise analysis to demonstrate its uniqueness. This relationship is modeled from experimental data using a neural network when the system is working properly, and the actual PSD of one sensor is compared with the PSD of that sensor predicted by the neural network using the PSD of the other sensor as an input. A significant deviation between the actual and predicted PSDs indicate that system is changing (i.e., failing). Experiments carried out on check valves and bearings illustrate the usefulness of the methodology developed.