几何复杂炉体的辐射传热有限体积方法研究

Georgios N. Lygidakis, Stavros N. Leloudas, I. Nikolos
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引用次数: 0

摘要

考虑到辐射传热在许多工程和工业应用中都遇到过,在过去的几十年里,人们为发展相关的数值方法付出了巨大的努力。在本研究中,简要介绍了这种内部学术辐射传热方法,并对几何复杂的炉进行了评估。所提出的求解器依赖于时间相关的RTE(辐射传递方程),旨在通过吸收,发射以及各向同性或各向异性散射灰色介质来预测一般外壳中的辐射传热。采用节点中心有限体积法对三维四面体或混合非结构网格进行空间离散化。采用二阶格式成功地提高了精度。最终的稳态解是基于显式二阶精确的四阶段龙格-库塔法,并主要通过并行处理和团聚多重网格格式加速的迭代过程得到的。所提出的求解器是针对一个实验三维炉的情况进行评估的,其中包含了许多工业炉系统中遇到的几何复杂性。关于入射壁面通量的预测数值结果与现有的实验数据进行了比较,显示出令人满意的一致性,从而证明了所提出的代码在准确预测复杂外壳辐射传热方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a Radiative Heat Transfer Finite-Volume Methodology to a Geometrically Complex Furnace
Considering that radiative heat transfer is encountered in many engineering and industrial applications, significant efforts have been applied during the last decades for the development of relevant numerical methodologies. In this study, such an inhouse academic radiative heat transfer method is presented in brief, whereas it is evaluated against a geometrically complex furnace. The proposed solver depends on the time-dependent RTE (Radiative Transfer Equation) aiming to predict radiative heat transfer in general enclosures through absorbing, emitting, and either isotropically or anisotropically scattering gray media. Spatial discretization is obtained with a node-centered finite-volume method on three-dimensional tetrahedral or hybrid unstructured grids. Increased accuracy is succeeded with a second-order scheme. The final steady-state solution is obtained with an iterative procedure, based on an explicit second-order accurate in time four-stage Runge-Kutta method and accelerated mainly via parallel processing and an agglomeration multigrid scheme. The proposed solver is assessed against an experimental three-dimensional furnace case, incorporating many of the geometric complexities encountered in industrial furnace systems. The predicted numerical results, regarding the incident wall fluxes, are compared with the available experimental data, revealing a satisfactory agreement and consequently demonstrating the proposed code’s potential to predict accurately radiative heat transfer in complex enclosures.
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