综合传动装置悬置系统刚度灵敏度分析与振动能量解耦

基于综合传动装置悬置系统6自由度耦合振动模型,利用灵敏度分析方法,计算悬置系统各阶固有振动频率关于各悬置各方向刚度的灵敏度,确定影响某一方向振动的关键橡胶刚度,为改善系统某一方向的振动提供理论依据.以系统各方向振动解耦率作为目标函数,综合考虑传动轴激励、人体承受振动敏感区域及各向振动耦合状况来确定优化约束条件,进行刚度参数最优化,得到的悬置系统各方向最优刚度值可用于改善悬置系统隔振性能.针对某一传动系统振动恶化的情况,采用刚度灵敏度分析与振动能量解耦综合方法,对悬置系统进行设计.最后利用台架振动试验结果验证悬置系统优化设计的有效性.      

子母战斗部跌落安全性研究

采用LS-DYNA动力学仿真软件对某半穿甲子母战斗部3 m高度以不同跌落方式自由落体进行了数值模拟计算.通过计算,得到在不同状态下战斗部跌落时的结构应力变形和装药过载响应数据.结果表明,战斗部大端朝下垂直跌落时内装子弹装药所受过载最大,安全性威胁较大,为后续战斗部跌落试验提供了一定的参考.后续战斗部跌落试验和数值模拟结果较为相符.     

智能混合动力汽车经济性自适应巡航控制策略研究

针对智能混合动力汽车自适应巡航过程中的能量控制策略问题,结合模型预测控制在处理多目标、多约束优化问题方面的优势和粒子群算法运算量小、收敛快的特点,将粒子群算法作为模型预测控制的滚动优化方法,构造基于模型预测控制的粒子群算法.仿真结果表明,文中算法能够使绝大部分工况点落在较低燃油消耗率区域,只有少部分工况点落在非经济区域,虽然多消耗了1.06%的燃油,但在运算速度上却获得了60.3%的提升.     

基于破岩比能的刀盘滚刀优化布置设计

基于科罗拉多矿业学院(Colorado School of Mines)推导的CSM受力模型,采用刀盘破岩比能最低原则,以径向不平衡力和倾覆力矩最小为目标,使用标准遗传算法(GA),优化中心刀、正刀和边缘滚刀的刀间距,以及正刀和边缘滚刀的极角.以TB880E刀盘为实例计算,结果表明:优化中心刀和正刀区域的刀间距后,比能减少1.53%,优化边缘滚刀区域的刀间倾角后,比能减少了1.10%;优化正刀和边缘滚刀的极角后,径向不平衡力减少到0.1265N,倾覆力矩减少到0.7591N·m,从而减小了刀盘的变形量.该研究可用于刀盘的布刀优化设计和对破岩过程能耗的预测,可降低TBM破岩能耗,改善TBM掘进能力.     

基于视觉相关性的无线多媒体传感器网络节能策略

针对资源受限的纯相机无线多媒体传感器网络的能量消耗问题,改进了视觉相关性算法,并提出了一种新颖的基于视觉相关性的完全分布式节能策略.首先,根据视觉相关性系数算法计算相机的视觉相关性系数向量;其次,利用视觉相关性系数向量得到相机的竞争筹码并以此确定相机的角色;然后,运行两个并行且相互交互的操作:簇头相机根据簇头权重向量确定下一跳并完成路由建立;非簇头相机计算亲密度向量并且得到自己的簇ID.最后,实验结果表明本文提出的节能策略能有效地延长资源受限无线多媒体传感器网络的生命周期.     

Ti微合金化汽车大梁钢510L动态再结晶行为

采用单道次压缩实验和阶梯试样热轧-淬火实验研究了低成本的Ti微合金化汽车大梁钢510L的动态再结晶行为.结果表明,应变速率为0.1s^-1时,变形温度为850~1050℃时均发生动态再结晶,应变速率为0.2s^-1时,只有在变形温度高于950℃时发生动态再结晶.变形温度的升高和变形量的增大会逐渐细化奥氏体晶粒,并使再结晶体积分数趋于增大.回归得到实验钢的动态再结晶激活能仅为211.43kJ/mol,说明Ti的添加几乎没有抑制高温奥氏体的动态再结晶,并建立了动态再结晶临界应变模型和动力学模型.     

油酸钠在锡石(211)表面吸附的量子化学研究

通过密度泛函理论计算研究了油酸钠在锡石(211)表面上的吸附机理.通过模拟XRD图谱与实测XRD图谱验证了建立的锡石晶胞结构的合理性.收敛性测试结果表明,当锡石(211)表面结构厚度超过5.437×10^-10m,真空层深度大于10×10^-10m时,表面结构趋于稳定.吸附能计算显示H₂O和OH^-可以自发地吸附在(211)表面上,然而OL^-在(211)表面上的吸附能最低,可以取代被吸附的H₂O和OH^-.Mulliken电荷布局计算和差分电子密度分析表明,反应过程中油酸羧基中的两个O原子与锡石表面裸露的Sn原子之间通过化学键形成化学吸附,其中单键O与Sn原子形成的化学键键强更大.     

Fluorescence resonance energy transfer between cerium ion(III) and levofloxacin in micellar solution and its analytical application to the determination of levofloxacin

Fluorescence resonance energy transfer between cerium ion(III) and levofloxacin is studied in a micellar solution of cetyltrimethyl ammonium bromide. A non-fluorescent 1:2 complex was formed between excited cerium ion(III) and ground state levofloxacin. The fluorescence of cerium ion(III) is quenched by levofloxacin with the quenching in accordance with the Stern–Volmer relation. The analytical relationship was established between the ratio of the fluorescence of levofloxacin present and absent cerium ion (III) and the concentration of levofloxacin, which helped to estimate the content of levofloxacin directly.     

Decentralized operation strategies for an integrated building energy system using a memetic algorithm

The emerging technology in net-zero building and smart grids drives research moving from centralized operation decisions on a single building to decentralized decisions on a group of buildings, termed a building cluster which shares energy resources locally and globally. However, current research has focused on developing an accurate simulation of single building energy usage which limits its application to building clusters as scenarios such as energy sharing and competition cannot be modeled and studied. We hypothesize that the study of energy usage for a group of buildings instead of one single building will result in a cost effective building system which in turn will be resilient to power disruption. To this end, this paper develops a decision model based on a building cluster simulator with each building modeled by energy consumption, storage and generation sub modules. Assuming each building is interested in minimizing its energy cost, a bi-level operation decision framework based on a memetic algorithm is proposed to study the tradeoff in energy usage among the group of buildings. Two additional metrics, measuring the comfort level and the degree of dependencies on the power grid are introduced for the analysis. The experimental result demonstrates that the proposed framework is capable of deriving the Pareto solutions for the building cluster in a decentralized manner. The Pareto solutions not only enable multiple dimensional tradeoff analysis, but also provide valuable insight for determining pricing mechanisms and power grid capacity.     

How does the ambiguity of the electronic stress tensor influence its ability to serve as bonding indicator

The electronic stress tensor is not uniquely defined. Possible bonding indicators originating from the quantum stress tensor may inherit this ambiguity. Based on a general formula of the stress tensor this ambiguity can be described by an external parameter λ for indicators derived from the scaled trace of the stress tensor (whereby the scaling function is proportional to the Thomas–Fermi kinetic energy density). The influence of λ is analyzed and the consequences for the representation of chemical bonding are discussed in detail. It is found that the scaled trace of the stress tensor may serve as suitable bonding indicator over a wide range of λ values, excluding the value range between ?0.15 and ?0.48. Focusing on the eigenvalues of the stress tensor, it is found that the sign of the eigenvalues heavily depends on the chosen representation of the stress tensor. Therefore, chemical bonding analyses which are based on the interpretation of the eigenvalue sign (e.g., the spindle structure) are strongly dependent on the chosen form of the stress tensor. © 2014 Wiley Periodicals, Inc.