近场辐射传热 DSGF 仿真器用户指南

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-08-22 DOI:10.1016/j.jqsrt.2024.109163
Lívia M. Corrêa , Lindsay P. Walter , Jan L. Čas , Mathieu Francoeur
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引用次数: 0

摘要

离散系统格林函数(DSGF)方法是一种基于波动电动力学的数值框架,用于预测任意数量、形状、尺寸和材料的三维热源之间的近场辐射传热(NFRHT)。在 DSGF 方法中,热源沿立方晶格离散为立方子体积,通过求解线性方程组获得所有子体积之间的系统格林函数。根据系统格林函数,可以计算出热传导中的相关量,如耗散功率和热导。本文旨在为 GitHub 上公开的 DSGF 求解器提供用户指南。本文首先回顾了 DSGF 方法的基本原理,然后详细介绍了用 MATLAB 和 C 语言实现的 DSGF 求解器。还提供了两个偶极子、两个球体、两个立方体和两个膜之间的 NFRHT 例题,可用于验证。
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DSGF solver for near-field radiative heat transfer: User guide

The discrete system Green’s function (DSGF) method is a fluctuational electrodynamics-based numerical framework for predicting near-field radiative heat transfer (NFRHT) between three-dimensional thermal sources of arbitrary number, shape, size, and material. In the DSGF method, thermal sources are discretized into cubic subvolumes along a cubic lattice, and the system Green’s functions between all subvolumes are obtained by solving a system of linear equations. From the system Green’s functions, quantities of interest in heat transfer such as the power dissipated and the thermal conductance are calculated. The objective of this paper is to provide a user guide of the DSGF solver publicly available on GitHub. The basics of the DSGF method are first reviewed, followed by a detailed description of the DSGF solver implemented in MATLAB and C. The C implementation is parallelized and includes an iterative procedure which is not available in the MATLAB version. Example problems of NFRHT between two dipoles, two spheres, two cubes, and two membranes that can be used for verification are provided.

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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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