换热网络优化中换热单元生成频次的影响分析及策略改进

换热单元的生成频次对换热网络优化有直接的影响，分析其机理可以指导求解算法的改进。本文采用节点非结构模型及强制进化随机游走算法，通过设置不同的换热单元生成概率与生成个数以改变换热单元的生成频次，观察并记录个体在优化过程中产生的年综合费用变化情况。发现不同生成频次下整型变量和连续变量的相对优化频率发生了变化，从而改变了整体优化过程，并且与个体当前优化状态不适应的生成频次会造成相对优化频率不平衡、优化结果较差。基于此，本文提出了一种具有生成参数动态调节策略的换热单元生成方式，在优化过程中根据个体状态实时调整换热单元的生成概率与生成个数，平衡整型变量与连续变量的相对优化频率。最后，采用15SP、10SP和20SP算例进行验证，换热网络的年综合费用较文献结果分别下降了1.06%、0.16%、0.68%，验证了该策略使得换热单元的生成频次更为合理，有效地提高了算法的优化效率。     

高聚物的新型3D打印材料开发进展

综述了一般3D打印技术的概念、产业及其发展。重点介绍了高聚物在3D打印材料中的应用。持续跟踪结果表明:一批新型高聚物的3D打印材料推向市场,一批国际知名化工公司也在积极介入3D打印业务。     

基于网络学习行为聚类分析的在线课堂优化策略研究

利用聚类分析法对网络学习行为分类，从而挖掘不同类型学习者在学习行为和学习效果间的差异。以大学计算机公共课《数据库技术及应用》为例，综合学习者学习行为类别差异、在线课程内容组织以及课程特点等要素为在线课堂进一步发展提供优化策略。     

Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems

Nonlinear equations systems (NESs) are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple roots. Evolutionary algorithms (EAs) are one of the methods for solving NESs, given their global search capabilities and ability to locate multiple roots of a NES simultaneously within one run. Currently, the majority of research on using EAs to solve NESs focuses on transformation techniques and improving the performance of the used EAs. By contrast, problem domain knowledge of NESs is investigated in this study, where we propose the incorporation of a variable reduction strategy (VRS) into EAs to solve NESs. The VRS makes full use of the systems of expressing a NES and uses some variables (i.e., core variable) to represent other variables (i.e., reduced variables) through variable relationships that exist in the equation systems. It enables the reduction of partial variables and equations and shrinks the decision space, thereby reducing the complexity of the problem and improving the search efficiency of the EAs. To test the effectiveness of VRS in dealing with NESs, this paper mainly integrates the VRS into two existing state-of-the-art EA methods (i.e., MONES and DR-JADE) according to the integration framework of the VRS and EA, respectively. Experimental results show that, with the assistance of the VRS, the EA methods can produce better results than the original methods and other compared methods. Furthermore, extensive experiments regarding the influence of different reduction schemes and EAs substantiate that a better EA for solving a NES with more reduced variables tends to provide better performance.      

Research on resistance characteristics of secondary air damper and nozzle in pulverized coal boiler

This article provides an industrial application method for monitoring and regulating the secondary air through the burner nozzle of a tangentially fired boiler. A geometric model from the inlet of the damper to the burner nozzle was established, which divides the grid for numerical calculation of the flow field to get the drag coefficients of the nozzle and damper under different opening ratios of the damper. In the range of 20–70% opening, the damper has perfect regulation performance, which has the main resistance comparing with that of nozzle. The disc-type damper has a slightly larger resistance than that of the splayed one. A precise corresponding function relationship between the opening ratio and the gas flow rate was established, and base on which, an exact control method on the secondary air damper was proposed. The result can apply to the intelligent transformation of thermal power plants to save energy and reduce consumption.     

石油储罐防腐涂料施工策略

在经济不断发展的背景下,石油已经成为不可或缺的能源,其从开采至加工整个过程均需使用储油罐,所以储油罐的防腐质量十分重要,需要使用相应的涂料进行防腐。本文对石油储罐防腐涂料施工策略进行分析,以供参考。     

铝合金铸件定向凝固过程的数值模拟

为了研究铝合金定向凝固组织的变化规律，采用有限元软件ProCAST对Al Si Cu合金定向凝固过程进行模拟,分析了不同浇注温度和抽拉速率对铸件定向凝固过程中的温度梯度、固液界面前沿、糊状区宽度、枝晶生长速率和二次枝晶臂间距的影响。结果表明，当浇注温度越高时，温度梯度越大，而固液界面前沿下凹越小，糊状区宽度也越窄，从而越有利于顺序凝固的发生；随着抽拉速率的增大，枝晶生长速率先增大后减小,当抽拉速率为200 μm/s时，最大生长速度达到0.093 mm/s，铸件凝固组织最佳；当抽拉速率大于300或小于200 μm/s时，都会导致枝晶生长速率缓慢，枝晶生长不平稳，二次枝晶臂粗大。对模拟得到较优的工艺参数进行试验验证，可以制备出具有较好力学性能的铸件。     

基于NB分类器重访概率预测的Web缓存替换策略

Web缓存是用来解决网络访问延迟和网络拥塞问题，缓存替换策略直接影响缓存的命中率。为此，提出一种朴素贝叶斯（NB）分类器重访概率预测的Web缓存替换策略；根据用户之前访问日志，通过分区操作提取多项特征来表示每次访问的对象，并构建特征数据集；训练NB分类器，用来确定缓存中对象被再次访问的概率，为对象分配权重；结合LRU策略来合理删除一些对象。仿真结果表明，提出的策略在保证较高命中率的同时有效降低了执行时间。     

Corporate performance of the Seven Brothers of the European energy market: Then there were five

Fifteen years ago, Thomas (2003) found that seven European energy utilities had a strong hold over European energy markets. By 2009, further concentration had occurred, with five large utilities becoming more dominant. However, by 2015, while the market share of these five companies remained intact, their strength was waning. Sales and profits were declining, and their credit ratings suffering. Contributing factors were poor corporate strategy, competition from new entrants, and a shift from large, complex technologies to smaller, decentralised options. The challenge for the Big Five is to embrace new business models and transform themselves into more nimble companies.     

多维不确定性影响下的水期权交易最优策略研究

为解决来水预测不确定性和水价不确定性给用水户带来的风险对冲问题,引入对冲性的水期权交易模式,建立了以用水户期望收益最大为目标的水期权交易模型,得到了最优的期权交易策略应满足的条件,并利用二分法计算得到了最优的期权交易策略,探究了来水不确定性与水价不确定性对期权交易策略的影响。结果表明,来水预测误差和水价的波动越大,用水户的期望收益越大,最优的期权交易策略能有效降低来水预测不确定性和水价不确定性带来的风险。