2019
DOI: 10.1016/j.ijthermalsci.2019.01.012
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Statistical modelling of radiative transfer within non-Beerian effective phases of macroporous media

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Cited by 14 publications
(3 citation statements)
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“…The above equation is exactly the same as of equation (10) except that the equation ( 23) is to be solved for solid voxels only. This leads to a seven diagonal sparse metrix which is then solved using Generalized Minimal Residual Method (GMRES) method developed in PARALUTION, an open source library [47].…”
Section: Computing Effective Thermal Conductivity Tensor Of Each Subv...mentioning
confidence: 99%
See 1 more Smart Citation
“…The above equation is exactly the same as of equation (10) except that the equation ( 23) is to be solved for solid voxels only. This leads to a seven diagonal sparse metrix which is then solved using Generalized Minimal Residual Method (GMRES) method developed in PARALUTION, an open source library [47].…”
Section: Computing Effective Thermal Conductivity Tensor Of Each Subv...mentioning
confidence: 99%
“…Certain high temperature applications where cellular porous materials are used include solar power power plants [2][3][4], heterogeneous combustion [5], thermal protection systems [6][7][8][9], etc. Note that, for porous samples having mean characteristic size of their constituents greater than a few microns or much greater than the size of thermal radiation can also be refereed as macroporous materials [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…Taine et al [37] developed a new theory, i.e., the generalized RTE, for radiative heat transfer in non-Beerian media. This approach was further applied to strongly non-homogeneous porous media with application to a slab of packed particles [38] and non-Beerian effective phases of macroporous media [39]. Dayal et al [40] used view factors to analyze radiative heat transfer in granular medium at particle scale.…”
Section: Introductionmentioning
confidence: 99%