射水造墙法在祖孙洲堤基处理中的应用

介绍了江西省赣东大堤祖孙渊险段堤基险情及渗漏原因，采用射水法造墙技术进行堤基防渗处理，在运用射水法造墙技术中，根据机具性能作了技术上的改进，顺利地在粒径大于８ｍｍ甚至达１００ｍｍ的砂砾石层完成造墙，使大堤堤基渗漏险情得到彻底解决。     

轧机调试中的作零技术分析

对轧机作零的目的、过程进行了阐述 ,特别是对作零技术的要点作了深入细致的分析 ,同时提出了处理某些技术难点和实测作零过程可靠性的途径     

An examination of decision-makers' utilization of decision support system output

A study was conducted of 18 decision support systems in major U.S. corporations in order to examine their methods of operation and the ways in which the DSS contribute to the decision making process. These DSS were studied with respect to organizational level of the decision maker, phases of the decision making process, interaction among decision makers using the DSS, requirement for and regularity of DSS use, impact on job tasks and performance, and perceived value of the DSS. Study results provide substantial support for generalized conceptualizations in the literature. Decision support is primarily for upper and/or middle management working in interaction. Use of the DSS is at the discretion of the decision maker and the majority of DSS users are highly satisfied with their systems.     

聚合物驱后进一步提高采收率的实验研究

在具有大庆油田油层地质特征的人造物理模型上开展了包括水驱、一次聚物合驱，水驱，二次聚合物驱，水驱各阶段的聚合物驱油试验，试验结果表明，在一次聚合和的驱之后注入分子量更高，浓度更大的聚合和的或可在地层内交联的聚合物，可进一步提高油藏的采收率，在一次聚合物驱中使用可交联聚合物，提高采收率的效果更佳，详细介绍了油层物理模型的制作方法。     

水解酸化在制浆造纸废水处理中的研究及应用

由于制浆造纸废水的难生物降解性,水解酸化被广泛地应用于制浆造纸行业的废水处理中。针对制浆造纸不同原料不同工艺所产生废水的特点,通过实验及实际运行收集数据的分析,总结出一些水解酸化工艺应用于制浆造纸废水处理中的一些设计及运行管理参数和经验之谈。     

相反相成 化境八章（四）

作为对阴阳媾和这一中国文化生成机制的提炼“相反相成”乃是“化境八章”的理论核心“相反”规定生成机制里形象的差异性前提“相成”则促成生成机制里的媾和结果：“相反相成”不但是中国艺术“形势”论的概括——“相反”是“形势”对“形”提出的差异性形象的前提,“相成”则是“形势”对“势”提出的异形媾和的期待：“相反相成”还是中国艺术“对仗”标准的展开——对要求“相反”的异象用以配“对”“仗”要求异象媾和成相互仰仗的“相成”关系。对用于被西方建筑学“自明性”的标准文章将从“相反相成”里提取“互成性”标准并对计成《园冶》里的理论核心“因借”展开重点复述。     

通过热喷涂涂层提高造纸效率

该报告将选用几个例子来证明为什么热喷涂技术将其它涂覆技术挤出这一商业领域,并仍然能够保持对供应商和终端消费者的双赢局面,甚至在涂层性能方面的微小差异都将决定成功与失败。     

宋元福建制盐业的发展与技术创新

宋元时期,福建制盐业在创新技术的推动下迅速发展,成为我国六大海盐产区之一.创始于宋代的刮土淋卤法、鸡子桃仁试卤法、管道输送等关键技术极大地提高了福建煮盐的生产效率.而海盐晒法的重大技术革新再次推动宋元福建盐业的勃兴发展.从宋末的浮沙晒盐,到元中的盐埕砂盐,再到明初的邱盘晒盐,福建海盐晒法一直走在全国的前列.制盐技术的改进与创新,节省了生产成本,促进了盐业的大发展.     

Adaptability analysis of design for additive manufacturing by using fuzzy Bayesian network approach

The rapid development of Additive Manufacturing (AM) has been conspicuous and appealing towards manufacturing end-use products and components over the past decade. The continual advancement of AM has brought many advantages such as personalization and customization, reduction of material waste, cutting off the existence of special tooling during fabrication, etc. However, the AM approach has its limitations, such as a lack of knowledge of AM process activities and the progressive industrialization of AM, which makes the design process activities unstable, unpredictable, and have a limited effect. The concept of “design for AM (DFAM)” is increasing, which means we have the opportunity to concentrate almost totally on product functioning. Therefore, the entire design paradigm must be revised to accommodate new production capabilities, geometries, and parameters to avoid molding or machine tooling technology constraints. Few studies have attempted to provide systematic and quantitative knowledge of the relationship between these elements and the feasibility of the design process, making it difficult for designers to assess and control AM industrialization. For this reason, DFAM is needed to reform AM from rapid manufacturing to a mainstream manufacturing method. This paper put forward a framework based on the Fuzzy Bayesian Network (FBN) for DFAM decision-making. Twenty impact factors were encapsulated from experts’ experience and existing literature to investigate the potential adaptability of DFAM. The proposed approach uses expert knowledge and Fuzzy Set Theory (FST) presented with Triangular Fuzzy Numbers (FFN) to perceive the uncertainties. The Bayesian Network (BN) captures the causal relationships and dependencies among the impact components and analyzes the DFAM adaptability for robust probabilistic reasoning. A robot arm claw was used to show the effectiveness of our approach. The results showed that FBN could be used to guide DFAM adaptability in the manufacturing industry.