内燃机车曲轴中频淬火过程的数值模拟

借助 ANSYS大型有限元分析软件 ,实现了 16 V2 4 0曲轴淬火过程的计算机模拟 ,模拟结果可直观地显示出任一时刻曲轴表面及内部的温度分布、冷却曲线以及淬火结束后的残余应力分布 ,并能预测淬硬层深度。同时对比了轴颈内圆角处进行淬火和不进行淬火两种工艺的效果 ,为现场提供了用虚拟现实方法详尽分析和研究淬火工艺的工具。     

Solving the bi-objective personnel assignment problem using particle swarm optimization

A particle swarm optimization (PSO) algorithm combined with the random-key (RK) encoding scheme (named as PSORK) for solving a bi-objective personnel assignment problem (BOPAP) is presented. The main contribution of this work is to improve the f₁_f₂ heuristic algorithm which was proposed by Huang et al. [3]. The objective of the f₁_f₂ heuristic algorithm is to get a satisfaction level (SL) value which is satisfied to the bi-objective values f₁, and f₂ for the personnel assignment problem. In this paper, PSORK algorithm searches the solution of BOPAP space thoroughly. The experimental results show that the solution quality of BOPAP based on the proposed method is far better than that of the f₁_f₂ heuristic algorithm.     

基于提高弱电网新能源并网水平的逆变器功率-电压控制策略

传统功率-电流控制的并网逆变器存在谐波振荡等交互稳定性问题,限制了新能源的并网水平,尤其在弱交流电网中更为突出.为克服上述缺点,提出了一种新型功率-电压控制策略.首先在旋转dq坐标系下建立了逆变器输出阻抗的动态模型,包括主电路参数,锁相环(PLL)动态参数和调节器参数;然后基于波特图分析传统功率-电流控制策略下和本文所提功率-电压控制策略下逆变器输出阻抗的频率特性,证明了本文所提功率-电压控制策略稳定性,可以减小PLL带宽和输出功率的影响,从而提高弱电网中逆变器的额定功率注入功率,最后仿真和实验结果验证了所提出控制策略的有效性.     

基于 MEEMD-FN-LSTM 的冷热电联供系统负荷预测∗

针对当前冷热电联供(Combined Cooling,Heating and Power,CCHP)系统优化调度研究缺少冷热电负荷预测的问题,提出了基于改进集成经验模态分解(Modified Ensemble Empirical Mode Decomposition,MEEMD)、模糊熵(Fuzzy Entropy,FN)和长短期记忆神经网络(Long Short Term Memory,LSTM)的CCHP系统负荷预测方法.使用M EEM D算法将原始数据分解为若干IM F分量,计算IM F分量的模糊熵并将模糊熵相近的分量相加,使用LSTM对相加后新的分量进行预测,最后将分量预测结果重构得到最终预测值.通过仿真并对比分析其他方法的负荷预测精度,证明所提预测方法具有良好的预测效果.     

Melting,crystallization behaviors,and nonisothermal crystallization kinetics of PET/PTT/PBT ternary blends

The melting, crystallization behaviors, and nonisothermal crystallization kinetics of the ternary blends composed of poly(ethylene terephthalate), poly(trimethylene terephthalate) (PTT) and poly(buthylene terephthalate) (PBT) were studied with differential scanning calorimeter (DSC). PBT content in all ternary blends was settled invariably to be one‐third, which improved the melt‐crystallization temperature of the ternary blends. All of the blend compositions in amorphous state were miscible as evidenced by a single, composition‐dependent glass transition temperature (T_g) observed in DSC curves. DSC melting thermograms of different blends showed different multiple melting and crystallization peaks because of their various polymer contents. During melt‐crystallization process, three components in blends crystallized simultaneously to form mixed crystals or separated crystals depending upon their content ratio. The Avrami equation modified by Jeziorny and the Ozawa theory were employed to describe the nonisothermal crystallization process of two selected ternary blends. The results spoke that the Avrami equation was successful in describing the nonisothermal crystallization process of the ternary blends. The values of the t_1/2 and the parameters Z_c showed that the crystallization rate of the ternary blends with more poly(ethylene terephthalate) content was faster than that with the lesser one at a given cooling rate. The crystal morphology of the five ternary blends investigated by polarized optical microscopy (POM) showed different size and distortional Maltese crosses or light spots when the PTT or poly(ethylene terephthalate) component varied, suggesting that the more the PTT content, the larger crystallites formed in ternary blends. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci, 2007     

非典型SVOC结构构式义分析

根据构式语法,典型SVOC结构（即NP2后是名词短语和形容词短语）的构式义是致使变化。而SVOC结构研究中争议较大之处是如何看待和界定NP2后是非限定结构的情况。根据语义分析,这类情况中有些是属于非典型SVOC结构,其意义仍然是致使变化,而另外一些则应视为其它句式,如SVO。不同的学者从不同的角度出发往往得出不同的结论,这种情况从原型范畴理论的角度来看是完全可以理解并且是非常正常的。     

Al掺杂四针状纳米ZnO生长机制分析

采用热物理法制备不同量Al掺杂的ZnO纳米材料,利用XRD分析掺杂前后试样的物相结构,并通过TEM鉴定粉体中的四针状纳米氧化锌（T-ZnO）结构。结果表明,Al掺杂纳米T-ZnO晶须的结晶过程是气液固（VLS）方式,晶须生长具有择优取向。透射电镜高分辨图像揭示凝固过程中晶须沿[0001]轴向生长,随着时间的延长,Zn原子首先形成核心部分并向外在晶须表面呈台阶状生长,从Al液中带走部分Al原子,进而促成纳米晶须的不断伸长且直径变大。     

卡尔曼滤波算法在MEMS热式风速风向传感器中的应用

针对MEMS热式风速风向传感器在实际使用过程中因噪声问题导致输出不稳定的现象,本文首次采用了卡尔曼(Kalman)滤波算法对本征白噪声进行滤波处理,从而优化传感器的输出性能.本文分别通过理论分析和仿真模拟证明了Kalman滤波算法的可行性.实验结果表明,通过调节相关参数,Kalman滤波算法在滤波效果、响应速度及误差上均优于传统的加权滑动均值滤波算法.除此之外,在消耗较少资源的前提下,Kalman滤波算法可以有效减少本征白噪声的干扰,且调节空间较大,可以适应不同的应用需求.     

禁飞区无人机预警算法研究

针对大量在空中无秩序飞行的无人机有可能会闯入飞机场等禁飞区的情况,为了避免发生空中交通安全事故,提出了一种无人机禁飞区预警算法。首先,该算法经过坐标变换将描述无人机位置点的GPS坐标转换成对应的平面坐标;接着,采用改进的最小二乘曲线拟合算法预测出无人机的飞行轨迹;然后,通过计算预测的飞行轨迹曲线在当前点的切线是否会与描述禁飞区的电子围栏相交,来判断无人机是否会进入禁飞区。同时,所有的无人机都会安装上飞行数据记录模块,来实时地为该算法提供无人机的飞行状态信息。最后,通过MATLAB仿真实验验证了该预警算法的可行性和有效性,表明该算法可以对禁飞区周围的无人机进行预警。