Mechanism and Inhibition of Grain Coarsening of Al-Mg-Si Alloy in Hot Forming

A high-Ti 6061 alloy was rolled with strains up to 0.8-2.0 and at 350-550 ℃. Microstructures that developed during deformation and subsequent solution heat treatment (SHT) were observed by using optical and transmission electron microscopy. Microstructure evolution during SHT depends mainly on the initial rolling temperature, and it was found that the higher this temperature is, the coarser the grains are. After rolling at 400 ℃, well-defined cells and subgrains were formed, which induced further sites for recrystallization nucleation during subsequent SHT. The recrystallization mechanism was found to be subgrain rotation, with a final grain size smaller than 200 μm. Increasing the rolling temperature to 500 ℃ results in a low density of dislocations distributed uniformly in the deformed matrix and fewer nucleation sites during subsequent SHT. The recrystallization mechanism is grain boundary bulging, while the final grain size approaches several millimeters. Finally, a hot forming process of high-Ti 6061 alloy for inhibiting grain coarsening was proposed, and verified by experiments.     

Microcellular foaming of plasticized thin PC sheet I. Effects of processing conditions

Novel microcellular foams using thin plasticized PC sheet were prepared by compression molding. The measurement results showed that T _g of plasticized PC was decreased and the molecular chain mobility was increased. Decrease in T _g and increase in chains mobility were contributed to the widen of foaming temperature window. Effects of processing conditions on cell size, cell density and relative density were also investigated. The experimental results show that the temperature, tributyl citrate and foaming agent content have more effects on the structures and morphology of the plasticized PC microcellular foam. Effects of experimental conditions on cell size distribution have also been discussed.     

考虑爆裂影响的轴向约束高强混凝土柱耐火性能研究

应用有限元软件ABAQUS,基于一次爆裂模式,建立了轴向约束高强混凝土（HSC）柱的抗火分析模型.采用试验数据验证了模型的合理性.采用验证后的模型,分析了不同轴向约束刚度比下高强混凝土柱轴力及位移变化的规律,重点考虑了爆裂深度、爆裂长度、爆裂开始时间等爆裂参数对高强混凝土柱轴向位移、截面温度场和耐火极限的影响规律.研究表明：相同爆裂时间前提下,HSC柱轴向位移随爆裂深度、爆裂长度的增大而增大,耐火极限随之减小.爆裂深度、爆裂长度相同前提下,爆裂开始时间对HSC柱的耐火性能影响很小.当荷载比不变时,轴向约束刚度比对HSC柱膨胀阶段的最大轴向位移影响甚小,但是在越过初始平衡位置的收缩阶段对轴向位移影响很大.轴向约束刚度比对轴向约束HSC柱的耐火极限影响不大.     

Algorithms for computing the optimal transitive approximation of a proximity relation

Three ways for generating the optimal transitive approximations or a suboptimal transitive approximation are given in this paper. The first one can obtain all the optimal transitive approximations for any proximity relation. However, trying to find all the optimal transitive approximations can be very expensive. The second one gives a method to obtain a suboptimal transitive approximation which can frequently generate an optimal transitive approximation. Furthermore, starting from the transitive closure the third method is proposed which can obtain a locally optimal transitive approximation. Finally, numerical experiments are carried out to show the abilities of these algorithms and compare them to other existing approximation algorithms.     

Design and Experimental Evaluation of a Discrete‐time ASPR‐based Adaptive Output Feedback Control System Using FRIT

This paper describes the design of an adaptive output feedback control system in discrete‐time, based on almost strictly positive real (ASPR)‐ness with a feedforward input. It is well‐known that an adaptive output feedback control system based on ASPR conditions can achieve asymptotic stability via a constant feedback gain. Unfortunately, most realistic systems are not ASPR because of the severe conditions. The introduction of a parallel feedforward compensator (PFC) is an efficient way to alleviate such restrictions. However, the problem remains that there exists a steady state error between the output of the augmented system and the output of the original system. The proposed scheme provides a strategy wherein the feedforward input is utilized such that the steady state error is removed. Furthermore, the fictitious reference iterative tuning (FRIT) approach is employed to determine the control parameters using one‐shot input/output experimental data directly, without prior information about the control system. This paper explains how the FRIT approach is applied in designing an adaptive output feedback control system. The effectiveness of the proposed scheme is confirmed experimentally, by using a motor application.     

基于结构化对等网络的skyline计算

一个多维数据库的skyline,是此数据库上不被其它任何数据支配的点所组成的集合.集中式skyline作为早前的关注焦点得到了较深入成熟的研究,现在已经有了大量针对集中式数据库的skyline算法.而迄今为止,对等网络上的skyline研究却仍然很匮乏,仅有三篇文章对此作出了初步的探索.其中一篇文章是专门为子空间上的skyline计算设计的,另两篇则是分别针对某种特殊的对等网络协议而不能适用于其他协议.提出了一种新的skyline算法.它基于一种重要的对等网络Chord,着力于减小网络带宽的占用量和节点访问数,并提供了保持负载均衡的方法,具有良好的扩展性和渐进性.理论分析与实验结果均证明这种算法是一个符合对等网络特点的准确高效的skyline算法.     

基于颜色识别的手指多点跟踪人机交互系统

基于英特尔凌动处理器的嵌入式平台和Windows操作系统,以OpenCV2.0库为图形识别处理基础,运用颜色识别、肤色识别、手指动作识别等非接触式实现跟踪技术,构建了一个基于手指动作识别的多点人机交互系统。该系统能够跟踪双手共四个手指的动作,实现图片的多点"触控"、画图、PDF文件浏览功能。     

基于PLC的火电厂电除尘器振打控制的研究

为了提高火电厂中静电除尘器的稳定性、可靠性、自动化水平,采用了高性能施耐德Twido可编程控制器(PLC)以及Twidosoft编程软件,设计了电除尘器电机振打控制方案,编制了振打控制梯形图程序;当沉降室侧壁振打3分钟,停7分钟;第一电场振打2分钟,停8分钟;第二电场振打2分钟,停18分钟;第三电场振打2分钟,停28分钟时,振打效果较好;运行结果表明:采用Twido可编程控制器之后,实现了电机振打的自动运行,与传统继电器振打控制系统相比,可靠性高,稳定性好,除尘效率高,粉尘排放浓度低于50mg/m3,为火电厂静电除尘器电机振打系统的自动控制提供了新的方法。     

异构网络集成方法研究

本文通过对不同的异构集成方法的分析、比较和实践，探讨异构网络集成问题解决方法的现状不足，提出了解决这个问题的新方法，以及可能发展的趋势和方向。     

Recommendation algorithm based on item quality and user rating preferences

Recommender systems are one of the most important technologies in e-commerce to help users filter out the overload of information. However, current mainstream recommendation algorithms, such as the collaborative filtering CF family, have problems such as scalability and sparseness. These problems hinder further developments of recommender systems. We propose a new recommendation algorithm based on item quality and user rating preferences, which can significantly decrease the computing complexity. Besides, it is interpretable and works better when the data is sparse. Through extensive experiments on three benchmark data sets, we show that our algorithm achieves higher accuracy in rating prediction compared with the traditional approaches. Furthermore, the results also demonstrate that the problem of rating prediction depends strongly on item quality and user rating preferences, thus opens new paths for further study.