Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents

This paper presents a data-driven modeling and optimization method for cavity filters, according to a limited amount of measurement data. In the method, a model that reveals the effect of mechanical structure on electrical performance of cavity filters is firstly developed by an improved algorithm, which can increase the modeling accuracy of small data set by incorporating multi-kernel and prior knowledge into the framework of linear programming support vector regression. Then, an approach to optimize the structure of cavity filters is formulated by using the developed data-based model, and the obtained results can assist the fabrication of the same filter in the future. Some experiments from a synthetic example and a practical application of cavity filter have been carried out, and the experimental results confirm the effectiveness of the method. The model is particularly suited to a computer-aided manufacturing of volume-producing filters, and the proposed algorithm shows great potential in some applications where the experimental data are very few and the prior knowledge is available.     

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network

In this paper, a novel self-adaptive extreme learning machine (ELM) based on affinity propagation (AP) is proposed to optimize the radial basis function neural network (RBFNN). As is well known, the parameters of original ELM which developed by G.-B. Huang are randomly determined. However, that cannot objectively obtain a set of optimal parameters of RBFNN trained by ELM algorithm for different realistic datasets. The AP algorithm can automatically produce a set of clustering centers for the different datasets. According to the results of AP, we can, respectively, get the cluster number and the radius value of each cluster. In that case, the above cluster number and radius value can be used to initialize the number and widths of hidden layer neurons in RBFNN and that is also the parameters of coefficient matrix H of ELM. This may successfully avoid the subjectivity prior knowledge and randomness of training RBFNN. Experimental results show that the method proposed in this thesis has a more powerful generalization capability than conventional ELM for an RBFNN.     

个人洗护用品配方原理及应用技术(Ⅱ)--护肤品配方原理及应用

从护肤品配方原理、各类配方成分(如乳化剂)介绍和其应用等方面讨论护肤品开发应用的相关注意要点，并给出了参考配方。     

改性低毒脲醛树脂的合成及性能研究

采用六亚甲基四胺做催化剂，加入聚乙烯醇（PVA）、三聚氰胺和硫脲作为改性剂，通过降低甲醛与尿素物质的量比、采用尿素分批加入的合成方法，制备出改性低毒的脲醛树脂（UF），使游离甲醛质量分数低于0．30％；采用捏合和模压成型方法，将改性和普通UF树脂分别与剑麻纤维（SF）制备UF／SF共混复合材料，研究了复合材料的力学性能和吸水性能。结果表明，甲醛和尿素物质的量比为1．1时，游离甲醛质量分数降低到0．16％；甲醛和尿素物质的量比为1．2时，三聚氰胺、PVA及硫脲加入量分别为尿素总量的2．0％，1．5％，1．0％（质量分数）时，游离甲醛质量分数降低到了0．10％，粘度达到0．41Pa·S，贮存期大于80d；改性UF／SF复合材料的性能比普通UF／SF复合材料的冲击性能和耐磨性能分别提高了114％和261％。     

钛系聚酯催化剂的研究进展

介绍了聚酯催化剂中锑、锗、钛三个系列的各自特点，综述了复合型钛系和超细TiO2型聚酯催化剂的最新进展，认为新型钛系催化剂催化活性更高，更环保，而且用它合成的聚酯产品色相好，热稳定性得到了改善。     

COMPUTER SIMULATION OF HYDRODEMETALLATION IN FIXED-BED REACTORS

An isothermal model for hydrodemetallation (HDM) of crude oils in catalytic fixed-bed reactors is proposed. This model involves a consecutive reaction mechanism, which is capable of accounting for particle deposit profiles with interior maxima. Consistent with the fact that HDM catalysts are conglomerates formed by precipitation, the porous catalyst itself is modeled as randomly overlapping spheres of equal size. The metal is deposited as growing metal sulfide crystallites on the inner surface of the catalyst. These crystallites originate from a certain number of randomly scattered nuclei and increase in size as the deposition proceeds. The random sphere model for the catalyst and the deposit provides the changes in the catalyst pore structure—local porosity and surface area.

The mass transport within the domain of the particle is due to restricted liquid diffusion, since the diameter of the metal bearing compound (porphyrin) and the intermediate are comparable to the pore size. The diffusion restrictions taken into account are the enhanced drag imposed on a molecule by adjacent pore walls and steric partitioning.

Since the deposition process is much slower than diffusion and reaction, the pseudo-steady-state assumption can be justified. The equations of conservation for mass are solved by orthogonal collocation on finite elements. Based on this solution technique a computer simulation program of HDM is designed that allows two modes of operation: constant temperature and constant conversion. The simulation program “SIMULA” is highly flexible with regard to reaction kinetics, catalyst structure, reactor design, and operating conditions. In comparison to a base case with uniform activity, the effect of intraparticle (radial) and bed (axial) activity profiles on the conversion rate is discussed. For the case investigated, a radial distribution of activity higher at the center of the particle than at the edge can increase catalyst life by 25%, but axial distribution was less successful.     

甲苯二异氰酸酯装置光气化反应精馏过程模拟优化

分析了光气化法生产甲苯二异氢酸酯(TDI)的工艺流程特点,建立了胺盐反应动力学模型,结合反应精馏塔的工艺参数及操作条件,胺盐的反应精馏塔进行模拟。考察了塔釜温度、侧线采出温度、塔釜停留时间和塔板停留时间的变化对胺盐转化率及再沸器热负荷的影响,得到了优化的参数,即塔釜温度150℃,侧线采出温度为92℃,塔釜停留时间20 min。优化结果使得胺盐转化率达到99.5%,为工业实际操作提供参考。     

PVC-U型材弹性模量测试偏差分析

在对PVC-U型材弹性模量试验中发现，同一样品的规则样条与不规则样条的弯曲弹性模量相差较大。不规则样条的负荷-挠度曲线上会出现拐点，如果不对曲线进行处理直接计算得到的弯曲弹性模量偏小。在不规则样条的负荷-挠度取拐点后直线段切线与横坐标的交点作零点修正后所测得的弯曲弹性模量比较接近真实值。通过实验可以验证处理后的方法测得的弹性模量与均匀规则样条的弯曲弹性模量相近。     

蒙脱土/BR复合材料的结构和性能研究

采用熔融共混法制备蒙脱土（MMT）/BR复合材料,研究MMT及其改性产品和硫化体系对复合材料结构和性能的影响。结果表明,Na-MMT,DK1N和DK4均能明显缩短胶料的焦烧时间和正硫化时间;与硫化剂DCP硫化体系相比,硫黄硫化体系有利于有机蒙脱土插层的进行,但也可造成部分层片受限;制备过程对DK1N/BR复合材料中DK1N层间距的影响较为明显;与BR相比,硫黄硫化MMT/BR复合材料相对交联密度减小,硫化剂DCP硫化复合材料相对交联密度增大;MMT/BR复合材料相对交联密度由小到大顺序为DK1N/BR,DK4/BR和Na-MMT/BR复合材料。