FE Simulation for Internal Inversion of Aluminium Alloy Tube

1 Introduction A double-walled invertube is difficult to fabricate other than applying inversion process. Such kind of invertube can be used as impact energy absorbing element in transport vehicles, like aircrafts and automobiles. Reddy T Y[1] did the analysis of Internal inversion and calculated the inversion load. Reid[2] et al. examined nosing and internal inversion of cold drawn steel tube by the finite element package ABAQUS. Recently, Rosa P A[3] et al. investigated Internal invers…     

Prediction of Final Product Properties After Cocurrent Spray Drying

The effect of drying and atomization conditions on the physical properties of powders for agglomerate-like materials and skin-forming material are studied in this article. A neural model is used for powder bulk and tapped density predictions.     

热重分析对高分子材料中碳酸钙的定量研究

碳酸钙是高分子材料中常用的无机填料，在高温时会同二氧化碳而失重。利用热重分析可准确定出高分子材料中碳酸钙的含量，同时还可测出聚合物，挥发物的含量，热重分析法样品用量小，灵敏度高，所需时间短。     

计算机软件在多媒体化学教育中的应用

本文阐述了计算机软件在多媒体化学课件开发中的应用，着重介绍了一些普通软件及专业化学软件的特点及功能。     

同杆并架双回线基于电流突变量的综合选相

相电流差突变量选相元件在单回线故障中具有良好的选相性能，但在同杆双回线跨线故障中可能误选相。利用六序故障分量的分析方法，分析了相电流突变量在同杆双回线跨线故障中的幅值和相位特征，给出了其相位比相方程。在此基础上，提出了一种运用测量阻抗和方向元件相结合的综合选相方法，并给出了选相流程图。仿真结果表明，在双回线简单故障和跨线故障时，基于单回线单端电气量的同杆并架双回线综合选相方法具有较理想的选相性能。     

辽河流域平原区浅层地下水水化学特征和水质状况

本文根据多年地下水水质监测资料和近期实测监测资料,系统地对辽河流域平原区浅层地下水的水化学特征进行了分析,并对浅层地下水的水质类别及水质污染状况进行了分析评价.结果表明:平原区地下水化学类型以重碳酸盐型为主,浅层地下水有污染加重和扩大的趋势.     

加强地下水管理的思路与对策

地下水是水资源不可分割的组成部分,是生态和环境的主要控制因素。作为我国北方地区的主要供水水源,地下水开发规模不断增加,超采以及因超采引发的生态与环境问题日趋突出,南方部分地区特别是沿海和重要城市区,地下水开发带来的问题也越发严重。今后一个时期,要全面推进地下水资源管理,对水资源进行统一调查评价,统一规划和统一调配,加强超采区的治理,遏制地下水超采,加强地下水水质保护,防止地下水污染,逐步实现地下水采补平衡,改善生态与环境,实现地下水资源的可持续利用。     

尖晶石型纳米钴蓝陶瓷颜料的制备

采用化学共沉淀法作为钴蓝颜料的制备方法,探讨了主要工艺因素对制备钴蓝颜料性能的影响,对制备的样品进行了测试与表征。结果表明:Co2+和Al3+物质的量比为1∶2.5时,制备的钴蓝样品颜色饱和度与明度最高,沉淀剂为尿素时制得的样品的粒度最小,粒度分布比较均匀。前驱体的洗涤过程采取水洗加醇洗的方法可有效减少样品的硬团聚现象,且前驱体的最佳煅烧温度为950℃左右。     

活性污泥数学模型入流组分测定及应用

阐述了活性污泥1号模型人流组分的分析方法，并用这些方法测定了西安市城市污水水质。实验结果表明测定方法操作简单、准确可靠，能为利用模型进行污水处理厂的设计、模拟及管理提供入流组分分析依据，     

SECANT-FUZZY LINEAR REGRESSION METHOD FOR HARMONIC COMPONENTS ESTIMATION IN A POWER SYSTEM

In order to avoid unnecessary damage of electrical equipments and installations,high quality power should be delivered to the end user and strict control on frequency should be made, Therefore, it is important to estimate the power system's harmonic components with higher accuracy. This paper presents a new approach for estimating harmonic component in a power system using secant - fuzzy linear regression method. In this approach the non - sinusoidal voltage or current waveform is written as I linear function. The coefficient of this function is assumed to be fuzzy number with a membership function that has center and spread value. The time dependent quantity is written as Taylor series with two different time dependent quantities. The objective is to use the sample obtained from the transmission line to find the power system harmonic components and frequencies. We used an experimental voltage signal from a sub power station as a numerical test.