2006
DOI: 10.1080/10407790500379924
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Least-Squares Collocation Meshless Approach for Coupled Radiative and Conductive Heat Transfer

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Cited by 40 publications
(18 citation statements)
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“…Liu et al [10] used meshless weighted least-squares (MWLS) method to solve steady-and unsteadystate heat conduction problems. Tan et al [11] applied leastsquares collocation meshless method to solve coupled radiative and heat conduction problems. Sadat et al [12] used diffuse approximation meshless method (DAM) to solve a two-dimensional heterogeneous heat conduction problem.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [10] used meshless weighted least-squares (MWLS) method to solve steady-and unsteadystate heat conduction problems. Tan et al [11] applied leastsquares collocation meshless method to solve coupled radiative and heat conduction problems. Sadat et al [12] used diffuse approximation meshless method (DAM) to solve a two-dimensional heterogeneous heat conduction problem.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [23] used meshless weighted least-squares (MWLS) method to solve steady-and unsteady-state heat conduction problems. Tan et al [24] applied least-squares collocation meshless method to solve coupled radiative and heat conduction problems. Sadat et al [25] used DAM to solve a two-dimensional heterogeneous heat conduction problem.…”
Section: Introductionmentioning
confidence: 99%
“…For each discrete particle on the inflow boundary, the radiative intensity is given by (6), and the boundary condition can be directly imposed as follows:…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 99%
“…Liu employed the meshless local Petrov-Galerkin (MLPG) method [2][3][4] and the least-squares collocation meshless (LSCM) method [5][6][7] to solve radiative heat transfer in gradient refractive index medium and coupled heat transfer in a participating medium. Wang et al [8] presented a moving least squares approximation meshless method to solve the radiative transfer equation in complex 2D and 3D geometries.…”
Section: Introductionmentioning
confidence: 99%