Thermooxidative degradation of natural rubber/clay composite

The clay is treated with a reducing agent and an acid so as to obtain a clay containing various metal components with a variable‐valence state. Then, the clay is coprecipitated with natural rubber (NR) latex to prepare a vulcanized NR/clay composite. The degradation process of the NR/clay composite under hot air condition was studied dynamically by using a Fourier transform infrared spectrometer attaching an in situ sample cell and was also investigated using the TGA method. The test result obtained from the infrared spectrometry indicated that under low decomposition temperature, the decomposition products of the test samples mainly are ethylene, low molecular olefinic hydrocarbon, and carbonyl compounds. As the decomposition temperature rises, the low molecular olefinic hydrocarbon content decreases, the olefine with longer chain is formed, and a lot of alkane decomposition products are formed at the same time. When the content of the metal components with a variable‐valence state in clay such as Cu, Mn, Co, and Fe increases, the oxidation products containing the carbonyl group, the olefinic hydrocarbon, and CO₂ in the decomposition product of the test sample also increase. The TGA result clearly shows a shoulder peak that appears by the side of the main peak on the DTG curve of NR/clay composite. With the increase in the content of metal components with variable‐valence state in clay, the initial degradation temperature of the test sample (T₀), the degradation peak temperature (T_p1), and the final degradation temperature (T_f1) in first‐stage reaction, as well as the degradation peak temperature (T_p2) and the last final degradation temperature (T_f) in second‐stage reaction of all the test samples more or less shift to the direction of low temperature; besides, the activation energy (E) of the reaction of the test samples more or less decreases. This means that the metal components with variable‐valence state promote the oxidative degradation of the clay–rubber masterbatch. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 100: 3809–3815, 2006     

协同仿真平台中仿真组件的封装技术研究

在多学科多领域协同仿真平台中,仿真组件对应的仿真软件种类繁多且异构性较大。针对不同类型仿真组件之间数据庞杂和数据交换困难的问题,提出可对仿真组件进行一致访问与控制的封装技术。介绍仿真组件的构成及封装对象,研究仿真组件的封装机制、数据变量封装以及封装变量的映射与传递等关键封装技术,阐述封装组件的检测方法。通过仿真组件封装工具与自研协同仿真平台的集成,验证仿真组件封装技术的可行性,并结合具体的仿真组件封装实例,说明仿真组件的封装技术能有效提高模型和数据的重用性,降低对复杂仿真流程的管理难度。     

基于分区的航电系统调度分析工具实现

针对仅含纯周期任务集合、符合ARINC653多分区构架航电系统两级调度模型的可调度性判定问题,提出一种基于分区的航电系统调度分析工具。通过设定时钟变量模拟航电系统各分区中任务集调度过程,依据纯周期任务集及分区航电系统时间片分派特性确定仿真区间,设计优化的调度分析算法,判定航电系统分区级时间片分派的正确性及各分区中任务集的可调度性。测试及实例分析结果表明,该工具能自动、准确、快速地判定航电系统分区以及任务级调度模型的可调度性,并能以甘特图的方式绘制系统调度过程,较现有工具更为直观、高效。     

基于约束关系的变强度组合测试用例集生成算法

针对传统的变强度组合测试方法对系统中各因素之间的约束关系考虑不足,从而可能导致测试用例冗余的问题,论文提出了一种基于one-Test-at-a-time策略的变强度组合测试用例集生成算法,该算法充分考虑了因素间的约束关系,从而在一定程度上减少了测试用例集的规模。最后通过实验验证了算法的可行性和有效性。     

基于多代表点学习的RSKNN分类算法

RSKNN 算法是一种基于变精度粗糙集理论的 k-近邻改进算法,该算法能够保证在一定分类精度的前提下,有效地降低分类的计算量,提高分类效率。但由于 RSKNN 算法只是简单地将每个类中的样本划分成一个核心和边界区域,并没有根据数据集本身的特点进行划分,因而存在极大的局限性。针对存在的问题,提出一种多代表点学习算法,运用结构风险最小化理论对影响分类模型期望风险的因素进行分析,并使用无监督的局部聚类算法学习优化代表点集合。在UCI公共数据集上的实验表明,该算法比RSKNN算法具有更高的分类精度。     

变速积分PID在AUV航向姿态控制中的应用

AVU在航行过程中容易受慢变干扰,传统PID通过加大积分项来抑制干扰,但易引起超调.积分分离PID可以抑制干扰和减小超调,但当慢变干扰大于积分分离的门限时,退化为PD控制器.对此,将变速积分PID引入AUV的航向控制中.在航向运动线性模型基础上设计了控制器,并利用劳斯判据证明了系统稳定性,在典型干扰下进行了仿真验证.结果表明,变速积分PID相对于传统的PID和积分分离PID有更好的性能.     

基于FPGA的自动变模控制感应加热电源全数字锁相环研究

针对感应加热电源频率跟踪设计中传统锁相环电路设计复杂、跟踪速度慢、锁相频带窄、单独模块设计修改繁琐等问题,提出一种基于FPGA的自动变模控制感应加热电源全数字锁相环,即拓展锁相环中心频率频带和采用变模控制实现快速频率跟踪.应用SOC技术完成系统设计,并进行典型频带的计算机仿真.仿真结果证实了该设计具有宽范围的锁相能力及快速精确的频率跟踪性能,满足感应加热电源对负载频率变化的快速跟踪要求.     

基于变维卡尔曼滤波的UUV目标运动优化估计方法

为实现无人水下航行器精准、安全的跟踪目标从而高效地实现目标的信息采集,提出了一种针对该个体的目标运动优化估计方法。此方法通过建立目标运动模型,基于卡尔曼滤波基本原理,利用变维卡尔曼滤波的方法,达到UUV个体对目标运动状态准确估计的预期效果。为提高该方法的可行性,在利用最小化目标位置估计协方差矩阵完成目标运动轨迹估计及优化的过程中,考虑实际UUV机动时的最大速度限制、与目标最小距离的限制。文章详细阐述该方法的实现和步骤,并通过仿真实验验证了该优化算法的有效性。     

高维数据挖掘中基于中位数回归的特征提取新方法

为降低噪声对数据特征提取(变量选择)效果的不利影响,基于中位数回归分析方法,利用变量选择降维技术(正则化估计),提出了一种稳健、有效的特征提取(变量选择)新方法,并具体给出了估计算法,该算法具有快速计算的特点.实验结果表明,新方法能够有效地对高维数据集进行估计和变量选择,且具有较高的准确性,即使数据中的信噪比很低时,该方法仍具有较好的效果.因此,该方法为高维数据挖掘特征提取提供了稳健且有效的方法.     

Heat Induced Structure Modifications in Polymer‐Layered Silicate Nanocomposites

Summary: The success of the use of layered silicates in polymer nanocomposites, to improve physical and chemical properties is strictly related to a deeper knowledge of the mechanistic aspects on which the final features are grounded. This work shows the temperature induced structural rearrangements of nanocomposites based on poly[ethylene‐co‐(vinyl acetate)] (EVA) intercalated‐organomodified clay (at 3–30 wt.‐% silicate addition) which occur in the range between 75 and 350 °C. In situ high temperature X‐ray diffraction (HT‐XRD) studies have been performed under both nitrogen and air to monitor the modifications of the nanocomposite structure at increasing temperatures under inert/oxidative atmosphere. Heating between 75 and 225 °C, under nitrogen or air, causes the layered silicate to migrate towards the nanocomposite surface and to increase its interlayer distance. The degradation of both the clay organomodifier and the VA units of the EVA polymer seems to play a key role in driving the evolution of the silicate phase in the low temperature range. The structural modifications of the nanocomposites in the high temperature range (250–350 °C), depended on the atmosphere, either inert or oxidizing, in which the samples were heated. Heating under nitrogen led to deintercalation and thus a decrease of the silicate interlayer space, whereas exfoliation was the main process under air leading to an increase of the silicate interlayer space.

Heat induced structural modification of EVA‐clay nanocomposite under nitrogen and air.