Computational modeling study demonstrates independent geometric parameter control in random porous materials, highlighting pathways to minimize thermal conductivity.
We describe a method for modeling the geometry of random porous materials. The approach enables the independent selection of crucial parameters, including porosity, pore size distribution, pore shape, and connectivity. Consequently, it can effectively model a wide range of porous systems. Due to the diverse and systematic variation possibilities, the method is suitable for developing and optimizing porous structures. The geometries can be exported as triangular meshes, facilitating their immediate use in numerical simulation and further digital processing. We showcase the method’s capabilities by minimizing the foam structure’s thermal conductivity through geometry optimization. • Method for modeling random porous materials’ geometry with flexible parameter control. • Independently select porosity, pore size, shape, and connectivity for diverse modeling. • Versatile, systematic approach for developing and optimizing porous structures. • Export geometries as triangular meshes for simulations and digital processing. • Demonstrated by optimizing foam geometry to minimize thermal conductivity.
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Buchele et al. (2024) studied this question.
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