Exact solution of elasto-plastic stresses in a metal-matrix composite beam of arbitrary orientation subjected to transverse loads

An analytical elasto-plastic stress analysis is presented for a metal-matrix composite beam of arbitrary orientation subjected to a single transverse force applied to the free end of the beam and a uniformly distributed load. The material is assumed to be perfectly plastic in the elasto-plastic solution. A composite consisting of stainless-steel-reinforced aluminum was produced for this work. Sample problems are given for various orientation angles. Elastic, elastoplastic and residual normal and shear stresses are calculated. The location of the elasto-plastic boundary of the beam is obtained according to the x coordinates of the beam.     

横观各向同性土介质与结构物共同作用的有限元与边界元耦合分析

本文采用有限元与边界元耦合方法对上与结构物进行共同作用的分析．其中上部结构采用有限元子结构法，地基上考虑为横观各向同性特性，应用边界元法，通过基础界面上位移连续、面力平衡的条件进行耦合分析．编制了相应的计算程序，对某高层空间剪力培与地基的共同作用进行了计算，与有限元法和实测结果进行了对比分析，得到了满意的结果．说明：有限元和边界元的耦合方法能充分发挥两者的优越性，不失为共同作用分析的一种有效途径．     

缺陷交互作用对陶瓷半导体导电性能的影响

本文借助于缺陷化学反应过程，分析了陶瓷半导体内缺陷间的交互作用，得到了陶瓷半导体实验研究的三个重要启示：（1）强还原（或氧化）或施主（或受主）掺杂对同一样品不能同时起到最佳效果；（2）本征原子空位对施主或受主的补偿导致电导率的非线性增长；（3）缺陷的缔合降低了半导化杂质的有效浓度，从而使电导性能发生异常变化。     

LD泵浦的Nd∶YAG腔内倍频激光器及其模式

用KTP晶体研制成LD泵浦的YAG腔内倍频激光器,得到0.532μm连续绿色线偏振激光输出,阈值泵浦功率为41mW,输出功率为1.4mW,斜效率为1.7％。研究了泵浦光对倍频激光横模的影响。     

110kV高压开关二次储能回路改进

针对110kV联兴站110kV高压开关二次储能回路设计存在的缺陷,提出改进意见,并提出故障防范措施。     

SAS数据挖掘在冷轧酸洗卷质量缺陷分析中的应用

数据挖掘作为一种发现大量数据中潜在信息的数据分析技术,受到各界的密切关注。SAS数据挖掘技术是众多数据挖掘方法中的佼佼者,它在大型企业中得到很好的应用。本文介绍数据挖掘的背景知识,并利用SAS/EM工具,对该技术在冷轧酸洗卷质量缺陷原因分析作了初步尝试。     

LearningADD: Machine learning based acoustic defect detection in factory automation

Defect inspection of glass bottles in the beverage industrial is of significance to prevent unexpected losses caused by the damage of bottles during manufacturing and transporting. The commonly used manual methods suffer from inefficiency, excessive space consumption, and beverage wastes after filling. To replace the manual operations in the pre-filling detection with improved efficiency and reduced costs, this paper proposes a machine learning based Acoustic Defect Detection (LearningADD) system. Moreover, to realize scalable deployment on edge and cloud computing platforms, deployment strategies especially partitioning and allocation of functionalities need to be compared and optimized under realistic constraints such as latency, complexity, and capacity of the platforms. In particular, to distinguish the defects in glass bottles efficiently, the improved Hilbert-Huang transform (HHT) is employed to extend the extracted feature sets, and then Shuffled Frog Leaping Algorithm (SFLA) based feature selection is applied to optimize the feature sets. Five deployment strategies are quantitatively compared to optimize real-time performances based on the constraints measured from a real edge and cloud environment. The LearningADD algorithms are validated by the datasets from a real-life beverage factory, and the F-measure of the system reaches 98.48 %. The proposed deployment strategies are verified by experiments on private cloud platforms, which shows that the Distributed Heavy Edge deployment outperforms other strategies, benefited from the parallel computing and edge computing, where the Defect Detection Time for one bottle is less than 2.061 s in 99 % probability.     

一种用户故事需求质量提升方法

敏捷开发采用用户故事表达用户需求.一般采用格式受限的自然语言编写,但在用户故事编写过程中经常出现一些表述上的缺陷.典型的缺陷包括缺失必要信息、意思表达含糊不清、故事间有重复或存在冲突等.这很大程度上影响了需求的质量,影响软件开发项目的进行.提出一种用户故事需求质量提升方法.从故事缺陷定位的角度出发,该方法构建了用户故事概念模型,并根据实际案例总结并提出11条用户故事应遵循的质量准则.从而提出故事结构分析、句法模式分析以及语法分析等技术,用于自动构建带场景用户故事的实例层模型,并根据准则进行故事缺陷检测,进而提升用户故事质量.在包含36个用户故事84个场景的实际项目中进行实验,自动检测出173个缺陷,缺陷检测的准确率和召回率分别达到88.79%和95.06%.     

基于图像处理的片式元件缺陷检测算法

表面缺陷检测是电子元器件生产过程中的关键步骤,通过分析表面缺陷检测的现状问题,结合片式元件图像的自身特征,提出一种基于改进的自适应阈值canny算子的片式元件缺陷检测算法;该算法把片式元件灰度图像进行区域分割,得到不同值域范围内的灰度区域,利用带有敏感度的自适应双阈值canny算子进行边缘检测;算法实现结果表明,该算法能高效地检测并处理不同缺陷类型的片式元件,并且可以达到工业生产的检测速度。     

COLLMANN2824轮胎检测X光机U形探测器及硬件升级

轮胎X射线检测机随着使用年限的增加,故障会逐步增多,维护费用和维护难度也在增长,特别是设备最核心的成像系统会出现电路板和传感器老化现象,使轮胎X射线图像出现模糊、区域过亮或过暗、黑条或白条(传感器整块宽度图像丢失)、竖线(传感器像素宽度图像丢失)等故障,导致检测效果变差甚至会出现检测盲区,最终出现漏检现象。