基于微分方程和小波图象去噪研究

小波图象去噪是目前图象去噪的主要方法之一,它可以在很好去除噪声的前提下保持图象的细节特征。近年来基于偏微分方程的图象去噪方法得到了广泛的关注。在一定的约束条件下,求解方程的最优解可以达到比较好的去噪的目的。实验结果表明,该方法在图象去噪的效果上要比小波去噪好,去噪后图象的信噪比高。     

Modelling and simulation of trickle‐bed reactors using computational fluid dynamics: A state‐of‐the‐art review

Trickle‐bed reactors (TBRs), which accommodate the flow of gas and liquid phases through packed beds of catalysts, host a variety of gas–liquid–solid catalytic reactions, particularly in the petroleum/petrochemical industry. The multiphase flow hydrodynamics in TBRs are complex and directly affect the overall reactor performance in terms of reactant conversion and product yield and selectivity. Non‐ideal flow behaviours, such as flow maldistribution, channelling or partial catalyst wetting may significantly reduce the effectiveness of the reactor. However, conventional TBR modelling approaches cannot properly account for these non‐ideal behaviours owing to the complex coupling between fluid dynamics and chemical kinetics. Recent advances in the application of computational fluid dynamics (CFD) to three‐phase TBR systems have shown promise of achieving a deeper understanding of the interactions between multiphase fluid dynamics and chemical reactions. This study is intended to give a state‐of‐the‐art overview of the progress achieved in the field of CFD simulation of TBRs over the past two decades. The fundamental modelling framework of multiphase flow in TBRs, advances in important constitutive models, and the application of CFD models are discussed in detail. Directions for future research are suggested.     

机器人动力学的一种通用算法（之二）──算法的应用与计算效率分析

利用作者提出的机器人动力学通用算法￣［１］，讨论了当机器人含有闭链结构时的动力学计算处理方法，并与传统的几种力学算法在计算效率方面进行了比较。结果表明：本文算法所需计算量与牛顿－欧拉算法相当，但比其它传统算法计算量要少，井克服了牛顿－欧拉算法不易于处理含闭链结构的机器人动力学的不足之处．