Analysis of Conduction-Radiation Heat Transfer in a 2D Enclosure Using the Lattice Boltzmann Method

• Published in: Numerical heat transfer. Part A, Applications Vol. 66; no. 6; pp. 669 - 688
• Main Authors: Mishra, Subhash C., Poonia, Himanshu, Das, Arup K., Asinari, Pietro, Borchiellini, R.
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis Group 15.09.2014; Taylor & Francis Ltd
• Subjects: Computation; Computer based modeling; Enclosure; Energy use; Fluid dynamics; Heat transfer; Lattices; Mathematical analysis; Mathematical models; Mechanical engineering; Scattering
• ISSN: 1040-7782; 1521-0634
• DOI: 10.1080/10407782.2014.894376

Application of the lattice Boltzmann method (LBM) recently extended by Pietro et al. [P. Asinari, S. C. Mishra, and R. Borchiellini, A Lattice Boltzmann Formulation to the Analysis of Radiative Heat Transfer Problems in a Participating Medium, Numer. Heat Transfer B, 57(2), 126-146, 2010] for calculation of volumetric radiative information is extended for the analysis of a combined mode transient conduction and radiation heat transfer in a 2D rectangular enclosure containing an absorbing, emitting and scattering medium. Unlike all previous studies, with volumetric radiative information computed using the proposed LBM, the energy equation is formulated and solved using the LBM. In the combined mode conduction-radiation problem, to assess the computational advantage of computing the radiative information too using the LBM, the same problem is also solved using the LBM-finite volume method (FVM) formulation. In this LBM-FVM formulation, the FVM is used to calculate the volumetric radiative information needed for the energy equation, and the energy equation is solved using the LBM. Comparisons are made for the effects of the extinction coefficient, the scattering albedo and the conduction-radiation parameter on the temperature distributions in the medium. Although the number of iterations for the converged solution in LBM-LBM is much more than that of the LBM-FVM, computationally, the LBM-LBM is faster than the LBM-FVM.