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A Simplex Search Method For A Conductive-Convective Fin With Variable Conductivity

机译：电导率可变的对流鳍的单纯形搜索方法

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摘要

A non-energy-partitioning Monte Carlo Ray Tracing (MCRT) model is employed to optimize radiative transfer in porous media. The pore level geometry is incrementally modified using 3D equivalents of image manipulation algorithms such as erosion, dilation, opening, and closing. Subsequently, direct, pore-level analysis of radiative transfer is carried out for each modification step to optimize the pore-level geometry for maximum absorptance. Results have been obtained for an opaque, diffusely or specularly reflecting solid phase within a non-participating void phase. Model media studied are: (i) reticulate porous ceramics (RPCs) and (ii) packed beds of CaCO_3 particles. The extinction coefficient and the forward scattering fraction have been determined for the media via a two-flux model of radiative transfer. Optimum porosities for maximizing absorptance at given medium thicknesses are then obtained from the analytical model. For the RPC, the forward scattering fraction varies between 0.38 and 0.57, and the extinction correlation coefficient varies between 9.56 and 7.03. For the packed CaCO_3 particle bed, the forward scattering fraction varies between 0.6 and 0.72, and the extinction coefficient varies between and 2.84 and 2.14.
机译：采用非能量分配的蒙特卡洛射线追踪（MCRT）模型来优化多孔介质中的辐射传递。使用等效的3D图像处理算法（例如腐蚀，膨胀，打开和关闭）来逐步修改孔级别的几何形状。随后，对每个改性步骤进行辐射传递的直接孔级分析，以优化孔级几何结构以获得最大吸收率。对于不参与的空隙相中的不透明，漫反射或镜面反射的固相，已经获得了结果。研究的模型介质为：（i）网状多孔陶瓷（RPC）和（ii）CaCO_3颗粒填充床。介质的消光系数和前向散射分数已通过辐射传递的两通模型确定了介质的消光系数和正向散射分数。然后，从分析模型中获得用于在给定的介质厚度下使吸收率最大化的最佳孔隙率。对于RPC，前向散射分数在0.38和0.57之间变化，消光相关系数在9.56和7.03之间变化。对于填充的CaCO_3颗粒床，正向散射分数在0.6到0.72之间变化，消光系数在2.84到2.14之间变化。

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