Friction stir welding of AZ31 magnesium alloy

Friction stir welding (FSW) is an new solid-phase joining technology which has more advantages over fusion welding methods in welding of aluminum and other non-ferrous metals. The effects of welding parameters on mechanical properties and microstructure during friction stir welding of AZ31 magnesium alloy were studied in this paper. Microstructures and mechanical properties of the joints were investigated by means of optical microscopy, scanning electric microscopy ( SEM ) , micro-hardness analysis, and tensile test. Experimental results show that the magnesium alloy can be successfully welded by FSW method, and the ultimate tensile strength (UTS) of FSW joint reaches up to 90 percent of base metal. The microstructures of welded joints exhibit the variation from dynamically recrystallized fine grains to greatly deformed grains. Hardness in nugget zone was found lower than the base metal but not too obvious.     

微量Y对Al—Li合金的析出相和力学性能的影响

研究了Y(0.1、0.5wt-％)对Al-Li-Cu—Mg—Zr合金析出相与拉伸性能的影响结果表明:Y可使铸态合金晶粒细化:促进β′(Al_3Zr)相析出:抑制δ′(Al_3Li)相的长大速度:使S′(Al_2CuMg)相的分布均匀化.添加0.1％Y能改善合金塑性而不降低强度:添加0.5％Y可使强度提高而塑性不降低     

冷硬呋喃树脂砂防粘模技术的研究

就冷硬呋喃树脂砂使用过程中常见的粘模问题进行了较系统的研究，通过对木质芯盒和铝芯盒采用不同的脱模剂进行的一系列试验表明，自制的Ｊ－Ｂ溶液是较理想的一种脱模剂。     

有色合金用呋喃树脂砂溃散性的研究

呋喃树脂砂用于有色合金铸造时，由于浇注温度低，型芯的演散性较差。对于薄壁铝合金铸件和厚大型芯该问题尤其明显。为解决这个问题，作者以ＫＪＮ－Ⅲ型呋喃树脂自硬砂为对象，就其在不同加热温度下的温度场、残留强度及热强度进行了系统的研究。通过对树脂添加剂与残留强度之间关系的研究，得到几种较好的树脂添加剂。在合适的加入量下，可使呋喃树脂砂的残留强度下降４０％～８０％，取得了令人满意的结果。     

快速凝固Al－Cu－Mg合金的时效特征

对离心雾化法制得的快速凝固Ａｌ－Ｃｕ－Ｍｇ合金的时效特征进行了研究。结果表明,随时效温度的升高,快速凝固Ａｌ－Ｃｕ－Ｍｇ合金的时效硬度峰值增加,且达峰值后硬度下降缓慢。在连续加热时效过程中,快速凝固Ａｌ－Ｃｕ－Ｍｇ合金有Ｓ”相形成过程,且Ｓ’相形成长大过程比较缓慢。从时效析出激活能、连续加热过程分析等方面进行了解释和验证。     

A new high accuracy method for two-dimensional biharmonic equation with nonlinear third derivative terms: application to Navier–Stokes equations of motion

In this paper, we propose a new compact fourth-order accurate method for solving the two-dimensional fourth-order elliptic boundary value problem with third-order nonlinear derivative terms. We use only 9-point single computational cell in the scheme. The proposed method is then employed to solve Navier–Stokes equations of motion in terms of streamfunction–velocity formulation, and the lid-driven square cavity problem. We describe the derivation of the method in details and also discuss how our streamfunction–velocity formulation is able to handle boundary conditions in terms of normal derivatives. Numerical results show that the proposed method enables us to obtain oscillation-free high accuracy solution.     

介观模拟研究温度对DPPC磷脂双层膜结构的影响

生物膜作为生物体的一种基本组成单元,在各种生命活动中占据重要地位。生物膜的结构和功能的稳定性是其发挥一切生理功能的前提。本文以DPPC磷脂双分子层为生物膜模型,采用基于Martini力场的粗粒化模拟方法,考察了温度对DPPC磷脂双层膜结构、形态和功能的影响。结果表明,315 K为DPPC磷脂双层膜的相转变温度;温度升高,DPPC分子间隙增加,尾链发生折叠弯曲,引起脂均面积增大,厚度减小,流动性增加;DPPC双层膜中甘油酯基团组成的栅栏区为膜中分子排列最有序的区域,也是阻碍小分子透膜的主要屏障区。研究结果不仅有助于更好地阐释生物膜的结构形态和功能之间的关系,也有助于理解药物与膜的相互作用,指导临床用药。     

结合肤色分割与平滑的人脸图像快速美化

目的 针对目前人脸图像美化算法存在的对于细节丰富的眼睛和头发等区域处理过度平滑,美化后的图像整体美化效果较差等问题,提出一种基于肤色分割与平滑人脸图像的美化方法。方法 首先对脸部瑕疵特性,用双指数边缘保护滤波器平滑人脸图像的瑕疵,与此同时很好保持图像边缘信息;再通过利用色度直方图自适应快速检测、修正、分割肤色区域;然后利用拟合高斯羽化皮肤区域生成蒙版,融合平滑图像和原图像,保留图像头发背景等细节信息;最后基于人像美感标准,对皮肤亮度通过拟合log曲线实现快速自适应调整人脸图像亮度,增强眼睛等细节,从而快速实现人脸图像美化方法。结果 通过与其他人像美化算法相比较,在保留边缘方面,该算法更有效地对皮肤边缘上的瑕疵进行平滑,达到更好地美化人脸图像;而在时间复杂度方面,相对于前人的算法,计算速度快12倍,实现快速美化人脸图像。结论 该算法适应能力较强,对大部分人脸图像的脸部瑕疵完美去除的同时达到背景信息不变,肤色美白自然,使整体美化效果显著;尤其是细节丰富的边缘区域平滑适度,具有一定的实用性。     

中职学校基建档案科学化管理

中职学校基建档案是中职学校整体规划和建设管理的重要组成部分,是学校实行各项评估的重要内容之一,因此,加强中职学校档案管理工作是十分重要的。详细阐述了中职学校基建档案的特质和效能,分析了如何实现中职学校基建档案的科学化管理,提出了加强基建档案科学化管理的相关建议。     

Taking a free ride for routing topology inference in peer-to-peer networks

A Peer-to-Peer (P2P) network can boost its performance if peers are provided with underlying network-layer routing topology. The task of inferring the network-layer routing topology and link performance from an end host to a set of other hosts is termed as network tomography, and it normally requires host computers to send probing messages. We design a passive network tomography method that does not require any probing messages and takes a free ride over data flows in P2P networks. It infers routing topology based on end-to-end delay correlation estimation (DCE) without requiring any synchronization or cooperation from the intermediate routers. We implement and test our method in the real world Internet environment and achieved the accuracy of 92 % in topology recovery. We also perform extensive simulation in OMNeT++ to evaluate its performance over large scale networks, showing that its topology recovery accuracy is about 95 % for large networks.