Effect of Heat Treatment on Microstructure and Mechanical Properties of Extruded PM Ti–6Al–4V Alloy With Deformation Flowlines

Metallurgical and Materials Transactions A - Two heat treatments, namely 955°C/2h/AC (AC = air cooling) and 955°C/4h/FC (FC = furnace cooling), were carried out on...     

应变速率对中碳低温贝氏体钢强塑性的影响

摘要：为探索低温贝氏体钢的断裂行为,研究应变速率对低温贝氏体钢TRIP效应的影响,采用不同应变速率的拉伸试验对低温贝氏体钢的强塑性进行研究。利用扫描电镜（SEM）、透射电镜（TEM）及X射线衍射（XRD）等试验方法对低温贝氏体钢的微观组织、断口形貌及裂纹走向进行表征。结果表明,随着应变速率的提高,试验钢的屈服强度由771MPa上升至806MPa,抗拉强度由1554MPa上升至1606MPa,断后伸长率由13.5%下降至9.0%。主要原因是高应变速率拉伸引发的绝热温升抑制了残余奥氏体的马氏体相变,对试验钢塑性造成负面影响。     

SBTV铁电材料的制备和微观组织结构

采用固相反应法合成了SrBi2Ta2O9(简称SBT)和V掺杂SrBi2Ta2O9(简称SBTV)陶瓷,通过TG-DTA、XRD、SEM、TEM等技术手段研究了材料的烧结工艺、相组成和微观组织结构.研究表明V2O5是一种很好的助烧剂,掺杂后材料的烧结温度可降低200℃烧结后纯SBT均为单一的钙钛矿相SBT;掺杂后2种成型工艺所制备的SBTV除了生成少量Bi4(V2O11)外,仍主要由钙钛矿相组成;同时所有的材料都发生了一定程度的择优取向.掺杂后材料的晶粒形态发生变化棒状转化为片状.同时V掺杂后引起了晶格畸变,产生应变,SBTV材料在透射中观察到具有α-边界特征的90°畴.     

淀粉丙烯酸接枝共聚吸水性树脂的研究进展

基于淀粉丙烯酸接枝共聚作为吸水性树脂具有环保和可生物降解的优良特性 ,目前 ,人们普遍关注的是如何提高其吸水性 ,抗温性 ,控制水份释放 ,压力下保水 ,以及电解液的吸收等。这些特性的改进将使产品的用途更为广泛 ,可以预见 ,淀粉丙烯酸接枝共聚作为吸水性树脂具有广阔的应用和发展前景。     

Honey bees mating optimization algorithm for process planning problem

Process planning is a very important function in the modern manufacturing system. It impacts the efficiency of the manufacturing system greatly. The process planning problem has been proved to be a NP-hard problem. The traditional algorithms cannot solve this problem very well. Therefore, due to the intractability and importance of process planning problem, it is very necessary to develop efficiency algorithms which can obtain a good process plan with minimal global machining cost in reasonable time. In this paper, a new method based on honey bees mating optimization (HBMO) algorithm is proposed to optimize the process planning problem. With respect to the characteristics of process planning problem, the solution encoding, crossover operator, local search strategies have been developed. To evaluate the performance of the proposed algorithm, three experiments have been carried out, and the comparisons among HBMO and some other existing algorithms are also presented. The results demonstrate that the HBMO algorithm has achieved satisfactory improvement.     

VideoGraph: a non-linear video representation for efficient exploration

In this paper we introduce VideoGraph, a novel non-linear representation for scene structure of a video. Unlike classical linear sequential organization, VideoGraph concentrates the video content across the time line by structuring scenes and materializes with two-dimensional graph, which enables non-linear exploration on the scenes and their transitions. To construct VideoGraph, we adopt a sub-shot induced method to evaluate the spatio-temporal similarity between shot segments of video. Then, scene structure is derived by grouping similar shots and identifying the valid transitions between scenes. The final stage is to represent the scene structure using a graph with respect to scene transition topology. Our VideoGraph can provide a condensed representation in the scene level and facilitate a non-linear manner to browse videos. Experimental results are presented to demonstrate the effectiveness and efficiency by using VideoGraph to explore and access the video content.     

基于FPGA的高频全数字低电平系统算法实现

本套加速器高频低电平系统(LLRF)是中国ADS注入器II高频系统的原型机,其工作频率为162.5 MHz,以实现超导加速腔的幅度与相位稳定控制和谐振频率调节。该系统主要由射频前端和数字信号处理FPGA两部分组成。射频前端主要实现高频信号的上下变频和电平匹配;数字信号处理FPGA是系统的核心,主要完成射频信号幅值与相位的数字稳定控制,超导腔谐振频率控制,以及1 000 M以太网通信。在实验室环境下,对该系统进行了幅度和相位稳定度测试,相位稳定度峰峰值为±0.3°,有效值为0.09°,幅值相对稳定度峰峰值为±5×10-3,有效值为3.2×10-3,达到了设计要求。     

Optimizing ranking method using social annotations based on language model

Recent research has shown that more and more web users utilize social annotations to manage and organize their interested resources. Therefore, with the growing popularity of social annotations, it is becoming more and more important to utilize such social annotations to achieve effective web search. However, using a statistical model, there are no previous studies that examine the relationships between queries and social annotations. Motivated by this observation, we use social annotations to re-rank search results. We intend to optimize retrieval ranking method by using the ranking strategy of integrating the query-annotation similarity into query-document similarity. Specifically, we calculate the query-annotation similarity by using a statistical language model, which in a shorter form we call simply a language model. Then the initial search results are re-ranked according to the computational weighted score of the query-document similarity score and the query-annotation similarity score. Experimental results show that the proposed method can improve the NDCG score by 8.13%. We further conduct an empirical evaluation of the method by using a query set including about 300 popular social annotations and constructed phrases. More generally, the optimized results with social annotations based on a language model can be of significant benefit to web search.     

Learning high-dimensional correspondence via manifold learning and local approximation

The recent years have witnessed a surge of interests of learning high-dimensional correspondence, which is important for both machine learning and neural computation community. Manifold learning–based researches have been considered as one of the most promising directions. In this paper, by analyzing traditional methods, we summarized a new framework for high-dimensional correspondence learning. Within this framework, we also presented a new approach, Local Approximation Maximum Variance Unfolding. Compared with other machine learning–based methods, it could achieve higher accuracy. Besides, we also introduce how to use the proposed framework and methods in a concrete application, cross-system personalization (CSP). Promising experimental results on image alignment and CSP applications are proposed for demonstration.     

动态格点搜索的改进算法用于团簇结构快速优化

结合高效的动态格点搜索(DLS)算法与扰动操作(Perturbation Operation)提出一种新的改进方法(DLS-PO),用于确定团簇的最低能量结构。针对一个特定构型,DLS算法总能给出其对应搜索空间的最规则结构。然而,一次失败的DLS优化将消耗大量的运算资源。为此,采取原子移动和结构旋转的扰动操作成功地改变了构型,再结合后续的DLS操作,提高了优化效率。将该算法用于原子数高达309的Lennard-Jones团簇及100原子NP-B函数铝团簇的结构优化。优化结果显示相比于DLS算法,DLS-PO算法更为高效。