考虑电动汽车停泊概率的配电网接纳电动汽车能力评估方法

针对规模化电动汽车无序充电易导致配电网电压及潮流越限,需要定量评估配电网接纳电动汽车的能力问题,提出考虑电动汽车停泊概率的配电网接纳能力评估方法。首先在充电负荷建模环节增加考虑电动汽车停泊概率的影响,采用二阶段方法确定充电负荷所在节点;其次对基础负荷的季节特性进行建模,以研究由此导致的配电网接纳能力季节差异;建立了考虑静态安全约束的接纳能力评估模型,采用机会约束消除充电负荷预测偏差对评估准确度的影响。最后通过算例验证了所提评估方法的有效性。     

汽车变速箱同步性能试验台的研制

汽车变速器同步性能直接影响车辆操控性,其量化测试十分重要。文中对变速箱同步器在换档过程中的同步时间,同步的轴向位移,同步时的换档力变化等参数借助于传感器进行采集。各路传感器信号经过调理电路转变为模拟量,然后经高速并行A/D转换为数字信号,并由单片机通过RS232上传给上位机进行数据分析并作出各项参数的曲线,对变速箱的性能作出评估。     

创建学习型组织促进企业持续发展

指出21世纪是一个新知识经济的时代,企业在市场中的竞争力,是企业政治力、经济力、文化力3个力的综合反映.其中,文化力是核心竞争力,而其关键要素已不是单纯的成本与效率,而是指创新能力.企业的创新,是一个整体性的活动,这就提出了要创建一个学习型的组织,来达到创新的目的.本文概述了创建学习型组织的重要意义,探讨了学习型企业的创建途径,旨在起到抛砖引玉的作用.     

工艺参数对送粉式激光熔覆组织及性能的影响

通过对不同规范参数情况下激光熔覆过程的研究分析，讨论了在熔覆过程中不同激光粉匹配条件对熔覆层尺寸、熔覆层组织及性能的影响，从而确定其影响规律。     

国产气相聚乙烯浆液催化剂的工业应用

本文简要阐述了北化院BCS01和上海院SLC-S两种国产气相聚乙烯浆液催化剂的性能、催化剂结构,在Unipol聚乙烯工业装置上应用结果,以及和进口同类催化剂UCAT-J的性能比较。     

采用表面粘涂技术提高设备的抗腐蚀性能

通过表面粘涂，对受到腐蚀、冲蚀、气蚀的设备进行表面修补与防护，可提高设备的使用寿命。     

水利工程施工应急能力G1-灰色评价方法研究

为有效加强水利工程应急能力建设,采用G1-灰色综合评价法对水利工程应急能力进行了综合评价研究。在水利工程施工特点和应急管理研究基础上,建立应急能力评价指标体系。通过采用G1法分析各应急能力评价指标相互关系,确定了指标权重。引入灰色理论将样本信息处理成灰色评价矩阵,并结合指标权重进行单值化处理得到应急能力综合评价值和评价等级。研究结果表明,搜救抢险能力、应急资源调配能力和应急决策指挥能力对于水利工程应急能力建设起到最主要的作用。该评价方法不仅可揭示指标重要程度关系,还能有效量化和评价水利工程项目综合应急水平,具有较好的实用性。     

传统法制备嗪草酮印迹聚合物

农药嗪草酮应用广泛,它的残留问题引起了人们的普遍关注,发展快速准确的检测方法势在必行。而分子印迹技术因其独特的优点使它成为痕量残留快速检测的一种较好的方法。采用传统法制备嗪草酮印迹聚合物,以甲基丙烯酸(MAA)为功能单体,N,N-亚甲基双丙烯酰胺为交联剂,甲苯为溶剂,在50℃时聚合得到选择性、吸附性最佳的印迹聚合物。     

Reliability-based robust design optimization: A general methodology using genetic algorithm

In this paper, we present an improved general methodology including four stages to design robust and reliable products under uncertainties. First, as the formulation stage, we consider reliability and robustness simultaneously to propose the new formulation of reliability-based robust design optimization (RBRDO) problems. In order to generate reliable and robust Pareto-optimal solutions, the combination of genetic algorithm with reliability assessment loop based on the performance measure approach is applied as the second stage. Next, we develop two criteria to select a solution from obtained Pareto-optimal set to achieve the best possible implementation. Finally, the result verification is performed with Monte Carlo Simulations and also the quality improvement during manufacturing process is considered by identifying and controlling the critical variables. The effectiveness and applicability of this new proposed methodology is demonstrated through a case study.     

Experimental design in soap manufacturing for optimization of fuzzified process capability index

In manufacturing industries, the quality of a product depends on the combined effect of multiple input variables working singly or together and therefore attention has been given on process capability indices to shift from single to multivariate domain. In case of multivariable domain the capability to incorporate uncertainties at the time of decision making becomes necessary. Fuzzy system is introduced to take care of this requirement. In this article the process parameters of soap manufacturing industries have been analyzed. The process capability is determined using Fuzzy Inference System rule editor based on a set of justified if then statements as applicable for the process. The data has been collected in linguistic form to derive its process capability, using a set of justified rules and the effect of each factor has been determined using Design of Experiments (DoE) and analysis of variance technique (ANOVA) for improving the soap quality from perspective of its softness. This article ventures to propose a new methodology by integrating Fuzzy with DoE providing better result followed by DoE and Fuzzy Inference system in isolation.