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Optimal grid size for precipitators using finite difference method based on full multi-grid method

机译:基于全多网格方法的UniTite差分法,除尘器的最佳网格尺寸

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The paper presents a novel approach for tracking the optimal grid size of the computational domain for modeling the corona problem within the wire-duct precipitators, which in turn helps in decreasing the experimental efforts. The Finite Difference Method (FDM) is used to model the corona problem using the full multi-grid method (FMG) as a powerful convergent iterative solution for Poisson equation particularly on finer computational domains. The full multi-grid method is examined against successive over relaxation (SOR) strategy and the latter is effectively transcendent in terms of timing performance. Indeed, using finer grids is a double ended weapon; on one hand it reduces the truncation error of the Finite Difference Method which reflects in getting more accurate view for the corona problem in precipitators. While on the other hand, the round off error will be increased which might give un-accurate results. Accordingly, the issue of choosing the optimal grid size arises. The full multi-grid method tracked the optimal grid size that gives the appropriate results for the potential and current density that well matched the previous published experimental measurements.
机译:本文提出了一种用于跟踪计算结构域的最佳网格尺寸的新方法,用于在线管道沉淀器内建模电晕问题,这反过来有助于降低实验努力。有限差分法(FDM)用于使用全部多电网方法(FMG)来模拟电晕问题,作为泊松方程的强大收敛迭代解决方案,特别是在更精细的计算域上。全面的多电网方法在连续放松(SOR)策略中进行检查,后者在时序性能方面有效地超越。实际上,使用更精细的网格是双重武器;一方面,它减少了有限差分方法的截断误差,这反映了对除尘器中的电晕问题的更准确的视图。另一方面,将增加舍入错误,这可能会提供不准确的结果。因此,出现了选择最佳网格尺寸的问题。全多电网方法跟踪了最佳网格尺寸,使其为先前公布的实验测量结果良好匹配的潜在和电流密度提供适当的结果。

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