Moisture Distribution and Dewatering Efficiency for Wet Materials

This review paper summarizes current research efforts toward a comprehensive view of wet material dewatering, considering the binding energy as the strength to hold water, and rupture energy given to remove moisture from materials.     

路径长度受限的随机需求VRP的模型和算法

路径长度受限的随机需求VRP在生产、生活中有着广泛的应用。给出了路径长度受限的随机需求VRP问题的线性整数规划模型,在不允许部分服务和仅能服务失败一次的策略下设计了一个启发式算法。该算法以离散优化中广泛应用的扫描算法为基础生成服务的一个初始可行方案,然后利用模拟退火算法改进得到近似最优解。对需求为二项分布的50个结点、1个服务中心的问题进行了数值试验,数值结果表明该算法对求解路径长度受限的随机需求VRP是有效的。     

环保型阻燃剂现状及前景分析

简述我国阻燃剂市场的基本情况,介绍几种绿色环保型阻燃剂,分析我国阻燃剂市场现状及未来发展的方向等。     

A_1-A_2-O-M工艺处理焦化废水的实验研究

采用厌氧-缺氧-好氧-复合(A1-A2-O-M)工艺处理焦化废水,考察了外加碳源和碱源对焦化废水COD和NH4+-N脱除效果的影响。试验结果表明:外加甲醇和碳酸氢钠对焦化废水的硝化和反硝化效果影响很小;不外加碳源和碱源时,焦化废水经处理后出水的COD和NH4+-N平均质量浓度分别为125.0mg/L和1.12mg/L,分别达到《污水综合排放标准》(GB8978-1996)中的二级标准和一级标准。     

应用膜生物反应器处理焦化污水

膜生物反应器(MBR)是膜分离与生物反应器相结合的新型水处理技术。焦化污水是一种高浓度、难降解的工业污水，应用传统的生化方法处理焦化污水存在费用大、效率低的缺点。作者采用一体浸没式膜生物反应器处理焦化污水，调整合适的操作参数，污水中主要污染物COD、NH2-N的去除率分别达到80％、98％以上，操作简单，出水水质稳定，且远好于国家一级排放标准，取得了良好的效果，有一定的推广意义。     

2000年化肥工业发展的几个问题

本文分析预测了我国２０００年的化肥需求量和世界化肥市场价格及其对我国化肥发展的影响。     

许昌市水资源多模式联合调度与合理配置

水资源短缺是制约城市经济社会发展的重要因素,合理配置和有效利用有限的水资源是解决水资源供需矛盾的有效途径。以许昌市国家水生态文明试点城市建设为例,在分析水资源开发利用现状的基础上,运用定额法对需水量进行预测。以多年平均水资源量为基础,2011年作为研究基准年,根据水资源取用方式、工程方案及各种水量需求等,利用MIKE BASIN建立水资源配置模型,对许昌市水资源供需平衡进行模拟,通过三次供需平衡分析,得到不同规划水平年水资源供需配置方案,最终达到水资源供需平衡,使有限的水资源发挥最大效益。研究结果表明,本地水资源结合南水北调、引黄调蓄、中水回用等多模式联合调度,可以满足许昌市中长期经济社会可持续发展用水需求,对未来许昌市水资源可持续利用具有重要的指导意义。     

纯苯市场分析及预测

对纯苯市场的供需情况进行了调查和分析.     

Cloud based intelligent system for delivering health care as a service

The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.     

Viscoelastic Effects in a Phosphate Glass-Metal Seal

A family of phosphate glasses has been developed with thermal expansion behavior in the elastic range that nearly matches the response of 304 stainless steel. Attempts to make concentric pin-shell seals consistently have yielded fractures between 400° and 300°C during cooling. Elastic stress analyses which neglect glass transitional behavior and utilize constant glassy ("elastic") thermal expansion coefficients predict a residual stress state that is compressive. However, viscoelastic computations which include the effects of structural relaxation during glass transtion show that tensile stresses sufficient to cause failure arise during cooldown of the seal.