CSTN-LCD用铬版清洗效果的改善

利用铬版清洗机对CSTN-LCD用铬版进行清洗处理,分析了清洗过程中出现的铬层脱落现象,铬层脱落与轴向喷射压力和水平切力密切相关,通过调整转速和喷射压力探索了安全使用条件:在转速不超过1000r/min,喷射压力低于0.5×105Pa的情况下使用铬版清洗机进行清洗是相对安全的。同时采用预清洗处理的方法满足清洁要求,使换线时间由平均3h缩短到平均1h以内,年产能提高270000片。     

牛奶加工过程中的清洗(二)

五．牛奶厂的清洗。目前，牛奶厂采用的清洗方式主要是CIP清洗(Cleaning in place)，原地清洗或称定置清洗，即在基本不拆卸或挪动机械装置和管线的情况下对生产过程中能与牛奶发生接触的设备表面进行的清洗。其冲刷、清洗、灭菌的整个过程全部实现了自动化因此大大降低了劳动强度。而有一些不     

浅析6063铝型材表面“铝丝印”的成因与对策

在介绍“铝丝印”概念的基础上，从金属腐蚀学的观点出发，分析了“铝丝印”形成的电化学腐蚀机理，并提出了具体的解决措施。     

Efficient similarity-based operations for data integration

Dealing with discrepancies in data is still a big challenge in data integration systems. The problem occurs both during eliminating duplicates from semantic overlapping sources as well as during combining complementary data from different sources. Though using SQL operations like grouping and join seems to be a viable way, they fail if the attribute values of the potential duplicates or related tuples are not equal but only similar by certain criteria. As a solution to this problem, we present in this paper similarity-based variants of grouping and join operators. The extended grouping operator produces groups of similar tuples, the extended join combines tuples satisfying a given similarity condition. We describe the semantics of this operator, discuss efficient implementations for the edit distance similarity and present evaluation results. Finally, we give examples of application from the context of a data reconciliation project for looted art.     

东方N-18250-2型凝汽器胶球清洗系统改造

对湘潭电厂存在已久的胶球清洗装置收球率低的问题进行了深入探讨，结合电厂对胶球清洗系统的改造、试验过程，分析并提出了影响胶球清洗装置清洗效果及收球率的诸多原因及其解决方法。     

制备单根大重量喷涂钼丝的生产研究

全面系统地介绍了“大坯料轧制开坯-大加工率变形-长线拉伸”制造喷涂钼丝的工艺。重点阐述了Y370、Y250型三辊连轧机实现一火轧制开坯和长线拉伸增加在线碱洗工序对提高喷涂钼丝内部组织结构和外部表面质量的影响。分析了工艺中出现的问题，提出了相应的解决办法。     

太钢4号高炉喷煤站应用MFD—Ⅲ型布袋除尘器的实践

太钢４号高炉喷煤站从１９９０年起采用ＭＦＤ－Ⅲ型脉动反吹式布袋除尘器。这种除尘器采用脉动式反吹清灰设施，合理布置布袋间距，布袋支撑骨架及选用针呢材质的布袋，过滤面积大，反吹清灰效果好，设备运行平稳，除尘效率高达９９．８％，排放浓度小于１０ｍｇ／ｍ＾３，故障率低。     

Estimation of fouling in a plate heat exchanger through the application of neural networks

Pasteurization is an important, if not the most important, process step in the packaging of milk. It is subject to alterations stemming from the variation in the temperature, pH and raw milk quality. The variability may manifest itself in changes in the formation of the deposit (fouling) in the pasteurization unit, such that there is a need for tools, both instrumentation and computational, to help in monitoring the process and keeping it on the desired course. In this paper we describe a practical procedure based on artificial neural networks (ANN) that allows prediction of the deposit thickness, the overall heat transfer coefficient and the critical time (the time that the unit has to be stopped for cleaning) for reducing the impact of fouling on such processes. The procedure determines when the cleaning operation is required once the system is under critical conditions of operations. A combination of fundamental studies and plant measurements were used for study of the operating conditions and thus evaluation of the trades‐offs between operating conditions and longer operating life span. The results are encouraging, enough to validate current operating industrial techniques. Copyright © 2005 Society of Chemical Industry     

电渗析器免拆清洗实例

用静态溶垢试验和静态模拟试验选出的清洗剂清洗电渗析器，结果表明：用质量分数为2％ HCl，5％多聚磷酸盐，2％HCl 2％CaCO3，0.1mol／L NaOH依次循环清洗电渗析器可清洗掉常见电渗析器垢物和污染物．