基于CaO引导的甲烷蒸汽重整化学链燃烧制氢系统

为在重整气中得到高纯H_2和降低尾气CO_2分离成本,建立了基于CaO引导的甲烷蒸汽重整化学链燃烧制氢系统,该系统在重整反应器中加入CaO吸收剂,用以吸收重整器内的CO_2,提高重整气中H_2浓度,形成的CaCO_3固体在煅烧器中受热分解重新生成CaO。利用Aspen Plus进行了过程模拟及热力学分析,并研究主要参数对系统性能的影响,得到优化的操作条件为:CaO循环量/CH_4比为0.5,CH_4(燃料)/CH_4比为0.35,NiO循环量/CH_4比为1.4。CaO循环量/CH_4比从0变化到0.5时,重整气中H_2浓度从0.60增长到0.99;CH_4(燃料)/CH_4比在0.25~0.45区间变化时,重整气中H_2浓度从0.86提高到0.99,产气量增加;NiO循环量/CH_4比在1~1.6区间变化时,重整气中H_2浓度从0.88增长到0.99,系统有效能效率变化较小。     

酚醛胺(T-31)环氧树脂固化剂之浅谈

介绍了酚醛胺(T-31)系列环氧固化剂及原料的现状和特点,并对酚醛胺(T-31)系列环氧固化剂进行了分代,阐述了第三代酚醛胺(T-31)系列环氧固化剂的系列化、专用化、高档化。预测和展望了2005年的需求和方向。     

荧光染料用于涤纶织物染色的荧光性能研究

在实验条件下，染色织物的荧光反射率随荧光染料的浓度增加而增加，超过一定浓度后，有下降趋势；在pH=5左右，荧光反射率最高；荧光增白剂会提高染色织物的荧光反射率，在荧光黄2GFL中，当荧光增白剂的浓度由0.1％增加到5％时，荧光反射率由8．43增加至18．59，而对非荧光染料只有增艳的作用，不产生荧光。荧光染料染色织物的荧光反射率随着加入非荧光染料量的增加而减弱。     

油水井化学封窜堵漏新工艺

通过分析中原油田注水开发的两大问题，阐明了新型堵剂YLD-1的适应性，结合室内试验，重点分析了该堵剂的性能特点，深入探讨了封窜堵漏的选井原则和施工工艺，经过在文留油田的现场应用，展示了该技术良好的发展前景。     

山梨醇类聚丙烯成核剂的开发与应用研究进展

综述了山梨醇类聚丙烯成核剂产品在国内外的开发进展，介绍了该类成核剂在聚丙烯中的应用和效果，及其作用机理。     

HT-730改性酚醛-丁腈胶粘剂的研制

对酚醛-丁腈胶粘剂进行改性，添加5．0％的硅烷偶联剂，改善了酚醛-丁腈胶粘剂的工艺性能，提高了粘接强度，特别是降低了酚醛-丁腈胶对环境湿度的敏感性。研制的HT-730胶在环境湿度90％时仍有很高的粘接强度，同时老化性能和适用期并没有受到影响。     

Vinyl‐containing silicone resin as the crosslinking agent of heat‐curable silicone rubber

Heat‐curable silicone rubber (HCSR) was prepared by using vinyl‐containing silicone resin (VSR) as the crosslinking agent instead of polyvinylsilicone oil (C gum). Mechanical properties and crosslink density of the vulcanizates were measured. The results indicate that VSR is a good crosslinking agent for HCSR. The tensile strength, tearing strength, elongation at break, and hardness of the vulcanizate can reach 10.2 MPa, 29.1 kN/m, 720%, and 58 SHA, respectively. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 83: 3123–3127, 2002; DOI 10.1002/app.10054     

智能虚拟环境中基于MAS的智能Agent体系结构

智能虚拟环境是人工智能和虚拟现实相结合的产物。由于多Agent系统具有可扩展性、自治性、主动性、可重构性和敏捷性等特点,已成为目前最感兴趣的AI技术之一。本文提出一种IVE中基于多Agent系统的智能Agent体系结构,着重于智能Agent内部机制的研究与设计,通过Agent的内部机制来提升系统的整体性能。     

多编组协同任务分配模型及DLS-QGA 算法求解

为解决多智能体编组协同任务分配问题, 定义任务、智能体编组和相关的分配过程变量, 建立以最高任务执行效率为目标的数学模型. 在问题模型中设计考虑资源损耗的编组资源能力更新机制, 提出用于求解该模型的动态列表规划和量子遗传算法的混合任务分配算法, 使用动态列表规划选择处理的任务, 利用量子遗传算法为选定任务分配最合适编组. 最后通过算例表明, 所提出的方法在解决时序逻辑任务分配时能够得到更优更稳定的方案.

     

Ozone-Based Advanced Oxidation Processes for the Decomposition of N-Methyl-2-Pyrolidone in Aqueous Medium

The present study investigates the decomposition of N-Methyl-2-Pyrolidone (NMP) using conventional ozonation (O₃), ozonation in the presence of UV light (UV/O₃), hydrogen peroxide (O₃/H₂O₂), and UV/H₂O₂ processes under various experimental conditions. The influence of solution pH, ozone gas flow dosage, and H₂O₂ dosage on the degradation of NMP was studied. All ozone-based advanced oxidation processes (AOPs) were efficient in alkaline medium, whereas the UV/H₂O₂ process was efficient in acidic medium. Increasing ozone gas flow dosage would accelerate the degradation of NMP up to certain level beyond which no positive effect was observed in ozonation as well as UV light enhanced ozonation processes. Hydrogen peroxide dosage strongly influenced the degradation of NMP and a hydrogen peroxide dosage of 0.75 g/L and 0.5 g/L was found to be the optimum dosage in UV/H₂O₂ and O₃/H₂O₂ processes, respectively. The UV/O₃ process was most efficient in TOC removal. Overall it can be concluded that ozonation and ozone-based AOPs are promising processes for an efficient removal of NMP in wastewater.