形状记忆合金电机在机器人中的应用研究

作为新型功能材料的形状记忆合金(SMA)在工程机械和日常生活中得到了广泛的应用。由SMA构成的结构简单、控制灵活、功率密度大的电机(SMAA)，在机器人系统中具有独特的技术优势。文中详细阐明了SMAA的独特优点和结构类型．综述在机器人中的应用。     

充分利用市场网络资源构建厂内通信网

为节省网络建设资金，同时保证企业内部通信网络的高效和实用，在组织筹建公司企业内部通信网络时，应充分考虑和合理利用市场上现有的网络资源。文中通过江西东津发电公司的两个成功的组网实例．介绍了这方面的思路和实施经验。     

摆线轮齿形的组合修正方式及其优化设计

针对齿形已经确定的摆线轮,在修正方式及修正量未知的情况下,利用改进的复合形法对摆线轮齿形修正方式及修正量进行了优化分析．同时,采用工艺过程简单的“等距＋ 移距” 修正方式代替工艺过程较复杂的转角修正方式,使用该方法计算等距和移距修正量速度快,与传统的计算方法相比较,工作效率明显提高．计算结果表明：在摆线轮齿形的各种修正方式中,“正等距＋ 负移距”修正方式是较理想的摆线轮齿形修正方式．这种修正方式具有理想齿形,加工工艺简单,在设计与制造中有一定的推广使用价值     

Stress and deformation analysis on deep surrounding rock at different time stages and its application

Based on the characteristics of the deep circular tunnel, the surrounding rock was divided into three regions: the cracked region, the plastic region and the viscoelastic region. The process of rock stress deformation and change was divided into three stages after the roadway excavation. By using the elastic–plastic mechanics theory, the analytical solutions of the surrounding stress and displacement at different stages and the radii of cracked and plastic regions were formulated. We additionally explained the surrounding rock stress and displacement which appeared in practical project. Simultaneously, based on the problem which emerged from a mine in Xuzhou during the excavating process of rock roadway’s transport, we got the theoretical solutions for the stress and displacement in the process of rock roadway’s excavation and considered that the broken area of rock roadway was largely loosing circle. The results indicate that according to the rheological characteristics of surrounding rock, in the primeval excavation of rock roadway, we should increase the length of anchor bolt and cooperate it with anchor nets cable-U steel supporting frame. In addition, when the deformation rate of the surrounding rock is descending after the 15 days’ excavation, we should use the “three anchor” supporting method (anchor bolt spray, anchor note and anchor rope) and set aside about 20 cm as the reserved deformation layer.     

基于模糊数学的低致敏营养餐包感官评价研究

以低致敏蛋白、微囊化油脂以及复合糖元为主要原料制备开发低致敏营养餐包。从粉体的颗粒特性、冲调特性和主客观感官特性等对餐包开展评价研究,利用模糊数学法对餐包冲调后的色泽、气味及滋味、组织状态进行感官评价;通过餐粉的均匀度、溶解稳定性、湿润性进行基本特性评定。结果表明：餐包粉体粒度分布与餐包冲调特性具有相关性,细粉颗粒（0~30 μm、0~50 μm、0~100 μm）与餐包冲调特性呈负相关性,与粗粉颗粒（200~500 μm）呈正相关性,即随细粉粉体颗粒体积不断增加,湿润时间不断增加,冲调特性逐渐变差;随粗粉粉体颗粒体积不断增加,湿润时间不断减少,则冲调特性不断加强。粉体粒径与餐包感官评分呈正向线性相关性,一定范围内,随粒径不断增大,感官评分不断加强,产品品质质量较好。该评价体系为完善低致敏营养包的加工工艺提供了理论依据。     

微机控制的感应电动机特性测试系统

采用单片机作为下位机,PC机作为上位机,联合组成了感应电动机特性的微机测试系统。单片机对被测电量波形进行同步采样,对被测电机的运行状态进行控制。PC机控制单片机的运行,对测量数据进行快速处理,打印试验报告,绘制图形曲线,实现了测试过程的自动化。     

串补装置中快速暂态过程的建模与时域求解

为了对间隙放电在串补平台设备上造成的快速暂态过电压进行评估,以部分单元等效电路(partial element equivalent circuit,PEEC)为基础,提出了含有集中元件支路的考虑全部段间电磁耦合的复杂多导体系统建模方法.此外还对含有非线性元件的复杂多导体系统状态方程的时域求解方法进行了深入研究.典型算例下与EMTP计算结果的对比表明,该文采用的方法计算结果准确,此外与传统方法相比对于紧密耦合的复杂多导体系统(如串补装置)电磁暂态过程的仿真具有更好的适用性.     

最少拍数字控制改善磁致伸缩微小位移机构动态特性

本文介绍一种新的适用于快速动态过程的磁致伸缩微小位移机构及其计算机数字控制实验系统;求出磁致伸缩微小位移机构系统的传递函数,并对利用计算机数字校正来进一步改善机构系统的动态特性进行了分析和实验。结果表明,该机构系统不仅适用于镜面车削时作精密微量进刀,而且还可以应用在误差动态补偿系统中作执行机构。     

重庆民族地区小学生心理健康状况调查

采用心理健康诊断测验对重庆民族地区的620名1-6年级小学生进行了调查.调查结果:小学生心理问题的总检出率为1.9%,至少有一项心理问题的检出率为51.1%;学生最主要的心理问题是学习焦虑,其次为身体症状、过敏倾向、自责倾向和恐怖倾向;家庭环境和学习成绩是影响小学生心理健康的重要因素;从1-6年级,小学生的心理健康水平呈W状发展趋势.     

A general stochastic clustering method for automatic cluster discovery

Finding clusters in data is a challenging problem. Given a dataset, we usually do not know the number of natural clusters hidden in the dataset. The problem is exacerbated when there is little or no additional information except the data itself. This paper proposes a general stochastic clustering method that is a simplification of nature-inspired ant-based clustering approach. It begins with a basic solution and then performs stochastic search to incrementally improve the solution until the underlying clusters emerge, resulting in automatic cluster discovery in datasets. This method differs from several recent methods in that it does not require users to input the number of clusters and it makes no explicit assumption about the underlying distribution of a dataset. Our experimental results show that the proposed method performs better than several existing methods in terms of clustering accuracy and efficiency in majority of the datasets used in this study. Our theoretical analysis shows that the proposed method has linear time and space complexities, and our empirical study shows that it can accurately and efficiently discover clusters in large datasets in which many existing methods fail to run.