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A GPU-Accelerated ray-tracing method for determining radiation view factors in multi-junction thermoelectric generators

机译：一种用于确定多结热电发电机中辐射观测因子的GPU加速光线跟踪方法

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摘要

A robust computational framework was developed and implemented to numerically resolve the radiation view factor, F-ij, within three-dimensional geometries, and, in particular, thermoelectric generators (TEGs). The proposed numerical methodology utilizes a graphics processing unit-accelerated ray-tracing algorithm to capitalize on the parallel nature of the view factor formulation. The shadow effect, resulting from interference with the TEGs conductive interconnectors and thermoelectric legs, was accounted for via the Moller-Trumbore ray-triangle intersection algorithm with back-face culling enabled. The effect of interconnector thickness, thermoelectric leg height-to-width ratios, TEG packing density, and the number of junctions on F-ij is explored for various TEG configurations. Validation is performed against analytical values for planar and non-planar geometries, in addition to a point-in-polygon intersection algorithm for single-junction TEGs. Results indicate that for a constant packing density, F-ij asymptotically decreases with increasing distance across the TEG's hot- and cold-sides. For an increasing packing density and constant distance across the TEG's junction, F-ij decreases. In a multi-junction device, F(ij )was found to asymptotically increase with junction number, implying that for large multi-junction TEG designs, a simpler model may serve to accurately predict the view factor. The code developed herein is open-source and can be found at https://github.com/AasherH/GPU-Accelerated-View-Factor-Calculator. (C) 2021 Elsevier Ltd. All rights reserved.
机译：开发并实现了一种稳健的计算框架，以在数值上解析辐射视图因子F-IJ，在三维几何形状内，以及特别是热电发电机（TEG）。所提出的数值方法利用图形处理单元加速的射线跟踪算法来大写视图因子配方的并行性质。由干扰TEGS导电互连器和热电腿产生的阴影效果被透过莫尔特拉姆射线三角形交叉路口算法占了具有背面剔除的。探讨了各种TEG配置的互连厚度，热电腿高度到宽度比，TEG填料密度和交叉点数的影响。除了单结TEG的点对内交叉点算法之外，还针对平面和非平面几何形状进行验证来执行验证。结果表明，对于恒定的填充密度，F-Ij渐近地随着TEG的热侧和冷侧的距离增加而降低。为了增加TEG结的填充密度和恒定距离，F-IJ降低。在多结装置中，F（IJ）被发现与结数渐近增加，这意味着对于大的多结TEG设计，更简单的模型可以用于准确预测视图因子。这里开发的代码是开源，可以在https://github.com/aasherh/gpu-accelerated-view-factor-calculator找到。 （c）2021 elestvier有限公司保留所有权利。

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