A prediction method for fatigue life of large moving components as function of scale factor: A case of motor‐generator rotor

With the development of science and technology, more and more large moving components have been used in industry, and their service lives have become an important issue. After analysis of the previous results, considering the scale factor, a prediction method for fatigue life of large moving components based on the Basquin relation was proposed at first, and then the magnet pole part of motor‐generator rotor was chosen to make simulation parts with different scale factors mainly in terms of their S‐N curves and fractographies. It was found that with the change of specimen scale factor, the stress concentration factor at transition arc is almost unchanged as well as the fatigue strength exponent, and the fatigue strength coefficient changes linearly. Based on those results, a life prediction method was validated, and the results show that this method is a simple but more precise relation. After fatigue fracture surface and crack growth angle observations and quantitative analyses, the fatigue damage mechanisms associated with the relation among fatigue strength exponent and coefficient and scale factors were explained well. Those studies will provide a new clue to the prediction of the service life for those large moving components.     

Identifying spreading influence nodes for social networks

The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.     

某难选地表氧化铁矿的选矿试验研究

对某难选地表氧化铁矿进行了选铁试验研究。采用阶磨-弱磁-强磁-反浮选流程选别该矿石, 可以取得精矿产率39.11%, 铁品位65.10%, 回收率70.5%的指标。     

数字化液压技术的发展趋势

微电子技术和液压技术的结合已成为一种必然趋势,本文综合性地介绍了液压技术中数字化控制的有关概念和原理,对数字泵、数字缸、数字阀等分别举例说明其数字化控制的实现方法,并对其控制系统做了扼要分析。     

NaAlH4空间约束体系的构建及其脱/加氢行为

配位氢化物具有较高的质量储氢密度,已成为国内外储氢材料的研究热点,但尚未解决的脱/加氢温度过高、速率慢和可逆性差等问题是制约其实际应用的主要原因.利用孔性材料的结构特点来构建纳米尺度的空间约束体系,可有效地改善配位氢化物的脱/加氢性能.以NaAlH4为例,介绍了孔性材料的制备和表面修饰,分析了配位氢化物/孔性介质空间约束体系的构建及其且兑/加氢行为.这种空间约束体系为改善配位氢化物的储氢性能提供了一条新途径.进一步构建配位氢化物/孔性介质/催化剂的空间约束体系,实现对配位氢化物的复合催化,将是今后努力的方向.     

折叠翼的结构非线性颤振分析

由于折叠机构间隙的存在,折叠翼的刚度特性呈非线性关系特性,工程实践中需要有效的方法,建立并求解折叠翼的非线性气动弹性方程。该文提出了弦向多个自由度具有结构非线性刚度的折叠翼颤振分析方法,并对典型折叠翼面进行了非线性颤振分析。利用动态子结构方法建立了非线性气动弹性方程,分别在频域和时域给出了颤振求解方法。对比工程软件的计算结果,验证了该方法是否满足工程计算精度的要求。通过对典型折叠翼的计算得到以下结论。在弦向多个位置具有初载间隙型非线性的典型折叠翼结构在一定速度范围内会产生稳定的极限环振荡,在一定速度范围内结构响应与初始扰动相关,后缘铰链振动相比于前缘更加剧烈,初载角较大时振荡更加剧烈。     

基于概率的桁架结构动力分析

文中针对桁架结构研究了基于概率的结构动力特性分析方法。首先建立了结构材料的物理参数和杆长尺寸两者之一或同时具有随机性时结构的刚度矩阵和质量矩阵 ,再从结构振动理论的瑞利商表达式出发 ,利用代数综合法推导出结构特征值随机变量数字特征的计算表达式 ,并提出了求解方法。最后通过两个算例考察了结构物理参数和几何尺寸的随机性对其动力特性的影响     

形状记忆合金薄膜的研究与发展

形状记忆合金是智能结构研究中重点开发的传感和驱元件材料之一。然而ＳＭＡ体材料响应速度较慢，在一五程度上限制了它的应用。ＳＭＡ薄膜弥补了这一缺陷，且更易于智能能结构集成化。本文介绍了国内外关于ＳＭＡ薄膜研究的现状。并展望了未来发展。     

曲面零件裂纹的涡流热成像检测仿真分析

根据工程实际中对曲面零件裂纹缺陷检测的需求,开展曲面零件裂纹缺陷的涡流热成像定量检测仿真分析研究,建立凸面和凹面零件的检测仿真模型。运用COMSOL仿真平台的AD/DC模块和热传导模块对焦耳热效应和热传导进行了耦合仿真分析,给出不同裂纹深度下缺陷周边的温度场分布及温升变化曲线。通过Matlab对温度场分布进行图像处理和数值分析,给出缺陷深度与缺陷周边的温升变化的函数对应关系,为进一步开展零件裂纹的定量检测实验研究提供参考。