速动形状记忆合金元件设计原理

提出了评价速动双程形状记忆元件性能的主要参数,并说明了设计实用速动元件的原理和方法。     

钨尾矿微晶玻璃的形状记忆效应

研究了钨尾矿微晶玻璃的形状记忆效应（ＳＭＥ），并用Ｘ射线衍射法（ＸＲＤ）作了相分析。结果表明，钨尾矿微晶玻璃具有明显的ＳＭＥ；恢复应变随回复保温温度升高而增加；该材料随着变形量的减小，形状恢复率随之上升     

Cu基形状记忆合金干滑动磨损研究

对Cu基形状记忆合金CuZnAl进行了干滑动磨损,采用扫描电镜观察磨损表面及磨屑.结果表明,CuZnAl合金的磨损过程受塑性变形控制,粘着与转移磨损和剥离磨损是材料失重的两种主要机制.电镜薄膜拉伸时显微裂纹尖端发生了应力诱发马氏体相变.用显微裂纹钝化作用的马氏体择优取向机制和应力诱发马氏体相变机制阐述了这种软基体高变形能力材料的耐磨本质。     

EFFECT OF RESIDUAL STRESS ON THE MARTENSITIC TRANSFORMATION OF SPUTTER-DEPOSITED SMA THIN FILMS

TiNi thin films were sputter-deposited on circular single-cry stal silicon substrates un-der various sputtering parameters. The crystal structure and residual stress of the as-deposited films were determined by X-ray diffraction and substrate-curvature method. The phenomenon of stress-suppressed martensitic transformation was observed. R is considered that the residual stresses in SMA thin films based on circular substrates act as balanced biaxial tensile stresses. The status of equilibrant delays the align-ment of self-accommodated variants and the volume shrinkage during the martensitic transformation.     

NiTi形状记忆合金螺钉的研制及医学应用

成功地研制了一种新型NiTi形状记忆合金螺钉并已临床应用了150例,经3年多考核,未发现骨不连及股骨头缺血坏死现象。     

CNG储气瓶的金属磁记忆检测

使用金属磁记忆检测方法和超声方法对在役的七组公交车CNG高压储气瓶组进行了检测,并对比分析了两种方法的检测结果。结果表明,金属磁记忆方法检测到的可疑区域涵盖了超声检测到的缺陷区域,因此用磁记忆方法检测高压储气瓶,有较高的可靠性和高效性。     

Cu-Al-Be形状记忆合金的应力腐蚀性能

用恒载荷法和慢应变速率法及SEM研究了Cu-Al-Be形 状记忆合金在甘油、海水和氨介质中的应力腐蚀性能.结果表明，Cu-Al-Be合金具有良 好的抗海水应力腐蚀性能和较低的氨介质应力腐蚀倾向.单相马氏体有较 好的耐海水腐蚀能力，可减少腐蚀引起的裂纹源；外应力下马氏体的孪晶变形和变体间的界 面迁移，则有利于松弛应力集中，阻碍和延缓腐蚀裂纹源的扩展，从而提高Cu-Al-Be合金的 应力腐蚀能力.     

超高密度磁记录的课题与展望

介绍了超高密度记录的研究开发状况 ,论述了垂直磁记录技术的课题以及采用TMR磁头的、记录密度为Subterabit in2 的记录 读出特性。作为高密度记录所必需的头 盘界面技术 ,提出了接触记录技术的课题 ,还就STM (Scanningtunnelingmicroscopy)存储器论述了未来超高密度技术     

Novel associative classifier based on dynamic adaptive PSO: Application to determining candidates for thoracic surgery

Association rule mining is a data mining technique for discovering useful and novel patterns or relationships from databases. These rules are simple to infer and intuitive and can be easily used for classification in any domain that requires explanation for and investigation into how the classification works. Examples of such areas are medicine, agriculture, education, etc. For such a system to find wide adoptability, it should give output that is correct and comprehensible. The amount of data has been growing very fast and so has the search space of these problems. So we need to change traditional methods. This paper discusses a rule mining classifier called DA-AC (dynamic adaptive-associative classifier) which is based on a Dynamic Particle Swarm Optimizer. Due to its seeding method, exemplar selection, adaptive parameters, dynamic reconstruction of regions and velocity update, it avoids premature convergence and provides a better value in every dimension. Quality evaluation is done both for individual rules as well as entire rulesets. Experiments were conducted over fifteen benchmark datasets to evaluate performance of proposed algorithm in comparison with six other state-of-the-art non associative classifiers and eight associative classifiers. Results demonstrate competitive performance of proposed DA-AC while considering predictive accuracy and number of mined patterns as parameters. The method was then applied to predict life expectancy of post operative thoracic surgery patients.     

Change of short-term memory effect in acute ischemic ventricular myocardium: A computational study

The ionic mechanism of change in short-term memory (STM) during acute myocardial ischemia has not been well understood. In this paper, an advanced guinea pig ventricular model developed by Luo and Rudy was used to investigate STM property of ischemic ventricular myocardium. STM response was calculated by testing the time to reach steady-state action potential duration (APD) after an abrupt shortening of basic cycling length (BCL) in the pacing protocol. Electrical restitution curves (RCs), which can simultaneously visualize multiple aspects of APD restitution and STM, were obtained from dynamic and local S1S2 restitution portrait (RP), which consist of a longer interval stimulus (S1) and a shorter interval stimulus (S2). The angle between dynamic RC and local S1S2 RC reflects the amount of STM. Our results indicated that compared with control (normal) condition, time constant of STM response in the ischemic condition decreased significantly. Meanwhile the angle which reflects STM amount is less in ischemic model than that in control model. By tracking the effect of ischemia on intracellular ion concentration and membrane currents, we declared that changes in membrane currents caused by ischemia exert subtle influences on STM; it is only the decline of intracellular calcium concentration that give rise to the most decrement of STM.