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.     

转轮体铸造工艺的优化设计

本文重点总结了水轮机的重要部件转轮体常发生的主要铸造质量问题,分析了产生缩孔缩松、裂纹、尺寸超差等质量问题的主要直接原因,并提出了铸造工艺优化设计方案。     

污水处理厂污泥厌氧消化优化设计与运行探讨

对国内典型的污水处理厂污泥厌氧消化系统进行调研发现,厌氧消化系统的运行管理尚存在诸多问题。在总结白龙港污水处理厂污泥厌氧消化调试与运行管理经验的基础上,针对厌氧消化工艺存在的普遍性问题,提出了厌氧消化系统设计和运行管理方面的建议,以促进工艺设计优化,提高运行管理水平。     

Joint relay selection and power allocation for amplify-and-forward two-path relaying networks

This paper presents a joint relay selection and power allocation scheme for amplify-and-forward two-path relaying networks,in which diferent relay nodes forward information symbols alternatively in adjacent time slots.Our approach is based on the maximization of the received signal-to-noise ratio under total power consumption by the transmission of the symbol.We show that in spite of inter-relay interferences,the maximization problem has a closed-form solution.Simulation results explicitly indicate that the performance of proposed approach outmatches the existing methods including equal power allocation and one-path relaying.     

Optimal blank design based on finite element method for blades of large Francis turbines

Metal pressing process that is widely used in industries has advantages over casting process for producing large Francis turbine blades from thick plates. Prior to the pressing process, blank design is firstly performed to determine flat blanks. The traditional trial and error approach is not applicable to blade design for Francis turbines that are not standard due to hydraulic characteristics of power plant sites. The rapid development of computing technology makes it possible to obtain optimal flat blanks by numerical modelling and simulation. In this paper, inverse finite element approach is investigated for blank design and an elasto-plastic model has been built using the well-known commercial software ANSYS. Numerical simulations for blade unfolding models with thick shell elements, solid elements and shell elements have given results with negligible differences. Unfolding tests with simple geometries have been carried out and the numerical results agree well with the analytical solutions. A large and thick shape of a Francis turbine blade for a hydropower plant has been successfully unfolded by inverse FE model. Sensibility analysis shows that the middle surface of the flat blank is independent of blade thickness. For ensuring the machining of the blade after the pressing process, a new contour is obtained by extending the boundary of the flat blank provided by the numerical model. This research may provide a useful tool for optimal blank design of Francis turbine blades.     

Optimal infinite scheduling for multi-priced timed automata

This paper is concerned with the derivation of infinite schedules for timed automata that are in some sense optimal. To cover a wide class of optimality criteria we start out by introducing an extension of the (priced) timed automata model that includes both costs and rewards as separate modelling features. A precise definition is then given of what constitutes optimal infinite behaviours for this class of models. We subsequently show that the derivation of optimal non-terminating schedules for such double-priced timed automata is computable. This is done by a reduction of the problem to the determination of optimal mean-cycles in finite graphs with weighted edges. This reduction is obtained by introducing the so-called corner-point abstraction, a powerful abstraction technique of which we show that it preserves optimal schedules. This work has been mostly done while visiting CISS at Aalborg University in Denmark and has been supported by CISS and by ACI Cortos, a program of the French Ministry of Research.     

双马尔可夫决策过程联合模型

人类在处理问题中往往分为两个层次,首先在整体上把握问题,即提出大体方案,然后再具体实施.也就是说人类就是具有多分辨率智能系统的极好例子,他能够在多个层次上从底向上泛化(即看问题角度粒度变"粗",它类似于抽象),并且又能从顶向下进行实例化(即看问题角度变"细",它类似于具体化).由此构造了由在双层(理想空间即泛化和实际空间即实例化)上各自运行的马尔可夫决策过程组成的半马尔可夫决策过程,称之为双马尔可夫决策过程联合模型.然后讨论该联合模型的最优策略算法,最后给出一个实例说明双马尔可夫决策联合模型能够经济地节约"思想",是运算有效性和可行性的一个很好的折中.     

基于遗传算法的多台光电经纬仪优化布站研究

利用部署于不同地点的多台光电经纬仪对飞行目标进行交会测量,可以确定被测目标的空间位置.为提高对被测目标的定位精度,提出了一种基于遗传算法的多台光电经纬仪优化布站方法.首先建立了光电经纬仪交会测量定位优化布站数学模型,然后针对该优化问题对遗传算法进行了设计,最后运用该算法对三台光电经纬仪布站几何进行了优化布站仿真计算,得到了三台光电经纬仪经布站优化后的站点坐标,且仿真结果表明该方法能够明显提高对被测目标的定位精度.     

椭圆参考轨道指定区域最优交会研究

研究了椭圆参考轨道指定区域最优交会问题。为了实现在指定区域完成最优交会,采用以参考轨道真近点角为自变量的线性化时变Tschauner-Hempel交会动力学模型,按照设定的真近点角交会域和最优二次性能指标设计最优交会控制,加权矩阵随真近点角变化。为方便指定区域最优控制问题求解,采用区段混合能法递推求解时变黎卡提矩阵微分方程和状态轨线。对远距、近距异面交会和共面交会三种情况设定不同的交会域进行了仿真研究,结果表明方法能保证在设定的真近点角域内完成交会,交会控制能耗小,精度高。     

MIMO-OFDM系统中的自适应比特分配

正交频分复用(OFDM)与多天线(MIMO)技术的结合可以有效提高系统的性能。为了研究自适应比特分配对MIMO-OFDM系统性能的影响,首先介绍了MIMO-OFDM的系统结构和MIMO信道的奇异值分解(SVD)过程。将多载波系统中的Hughes-Hartogs自适应分配算法应用于天线数为2×2的MIMO-OFDM系统中。仿真结果表明,采用Hughes-Har-togs算法的MIMO-OFDM系统的数据速率达到甚至超过了单天线OFDM(SISO-OFDM)系统的2倍,但SVD分解也带来了巨大的运算量,提出了在MIMO-OFDM系统中使用自适应分配算法的策略。