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A Robust Adaptive Algorithm for Flow Reversal Fixed-Bed Reactor Models

机译:一种鲁棒自适应算法,用于流逆式固定床电抗器型号

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In this paper, a robust adaptive weakly implicit finite difference algorithm, which can accurately capture the moving temperature and reaction fronts in unsteady-state operation fixed-bed reactors, is developed. For spatial adaptation, node placement is based on a combination of the magnitude of the second spatial derivative and that of the first derivative. The robustness of the algorithm is demonstrated by comparing the computed result with the analytical solution to a linear heat regenerator model as well as the computed result by an algorithm developed by Kulkarni and Dudukovic [1] in 1995. An application of the algorithm to simulating SO_2 oxidation over a vanadium catalyst in fixed-bed reactor with flow reversal is presented.
机译:在本文中,开发了一种稳健的自适应弱隐式有限差分算法,可以在不稳定状态运行固定床反应器中精确地捕获移动温度和反应前线。 对于空间适配,节点放置基于第二空间衍生物的大小和第一导数的组合。 通过将计算的结果与线性热再生器模型的分析解决方案进行比较来说明算法的鲁棒性,以及1995年通过Kulkarni和Dudukovic [1]开发的算法的计算结果。算法在模拟SO_2的应用 提出了通过逆转型反应器的钒催化剂对钒催化剂的氧化。

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