Study of liquid injection impact on the performance of new refrigerant mixtures

In this paper, the test results of liquid injection impact on the performance of new alternative refrigerant mixtures such as: R-410A, R-507, R-407C and R-404A are discussed, analysed and presented. The test results were obtained using an air-source heat pump set-up with enhanced surface tubing under various liquid injection ratios. Performance tests were conducted according to the ARI/ASHRAE standards. The performance data demonstrated that as liquid injection ratio increases, compressor head pressure and discharge temperature decrease. This has a positive effect in protecting the compressor. The effect of liquid injection on mixture behaviour varies from one mixture to another depending upon the mixture's composition. Furthermore, liquid injection appears to have a significant influence on R-410A behaviour compared to the other mixtures in question. Copyright © 2002 John Wiley & Sons, Ltd.     

新取代苯基荧光酮试剂的合成及其性质的研究Ⅱ．新型取代苯基荧光酮与金属离子显色反应的研究

研究了３，５－二溴－４－氨基苯基荧光酮、３，５－二溴－４－偶氮变色酸等８种苯基荧光酮在酸性介质中与高价金属离子Ｚｒ（Ⅳ）、Ｍｏ（Ⅵ）、Ｗ（Ⅵ）、Ａｌ（Ⅲ）、Ｇａ（Ⅲ）等的显色反应。３，５－位二溴取代的试剂的灵敏度高于未取代的灵敏度，摩尔吸光系数绝大多数在１０５Ｌ·ｍｏｌ－１·ｃｍ－１以上。     

应用在地下工程施工中的新技术（Ⅱ）

为有效保护地面上的生态环境，开发利用地下空间资源并营建新世纪的地下水城，在新的21世纪里将会建造更多的地下工程以满足人们生产生活的各种需要。文中介绍了地下工程施工中采用的逆作法、盾构法、新奥法、沉管隧道、顶管工程和大型沉井施工新技术，供同行们参考应用。     

对我国酱油酿造几项新技术应用之浅见

本文概述了三十年来我国酿造酱油工业开展研究的六项新技术在现阶段的投产可行性，及进一步研究方向的看法。     

进一步增强整体开放意识开创我市对外开放工作的新局面

九十年代是中国社会主义现代化建设进程的关键时期。作者从宏观角度提出了青岛市如何进一步增强整体开放意识,开创对外开放工作的设想。对我市今后更好适应我国的经济振兴和社会进步意义重大。     

首钢2号高炉的技术进步

介绍首钢2号高炉大修采用的新技术、开炉操作和投产以来的生产情况。     

打火机专用SAN树脂工业化开发生产

介绍了15kt/a本体苯乙烯－丙烯腈（SAN)装置试生产打火机专用SAN树脂的生产情况，确定了主要工艺配方及参数：进料组成为乙苯浓度为6％－11％、丙烯腈浓度为30％－42％，聚合温度130－145℃、压力0．40－0．46MPa，搅拌转速60－90r/min，脱挥温度215－250℃、压力小于等于4kPa；并对影响打火机志用SAN树脂性能的主要工艺条件及因素进行了讨论。结果表明，聚合温度、结合丙烯腈含量、熔体流动指数、转化率是影响打火机专用SAN树脂生产工艺及产品性能的主要因素。     

Recommending suitable learning scenarios according to learners’ preferences: An improved swarm based approach

The paper presents a new approach for recommending suitable learning paths for different learners groups. Selection of the learning path is considered as recommendations to choosing and combining the sequences of learning objects (LOs) according to learners’ preferences. Learning path can be selected by applying artificial intelligence techniques, e.g. a swarm intelligence model. If we modify and/or change some LOs in the learning path, we should rearrange the alignment of new and old LOs and reallocate pheromones to achieve effective learning recommendations. To solve this problem, a new method based on the ant colony optimisation algorithm and adaptation of the solution to the changing optimum is proposed. A simulation process with a dynamic change of learning paths when new LOs are inserted was chosen to verify the method proposed. The paper contributes with the following new developments: (1) an approach of dynamic learning paths selection based on swarm intelligence, and (2) a modified ant colony optimisation algorithm for learning paths selection. The elaborated approach effectively assist learners by helping them to reach most suitable LOs according to their preferences, and tutors – by helping them to monitor, refine, and improve e-learning modules and courses according to the learners’ behaviour.