Simultaneously reconstruction of radiation and conduction temperature- dependent properties of nanomaterial thermal insulators between Two Flat Plates using of the particle swarm optimization algorithm

In this paper, an optimization algorithm is proposed to simultaneously reconstruct radiation and conduction properties for thermal insulators constructed from Nanomaterial between two flat plates. The radiation problem is modeled using modified discrete ordinates method. The conduction and radiation problems are solved using the finite volume method. The inverse problem is solved using the particle swarm optimization problem. The various cases have been solved in this paper. Firstly a simple problem designs and solves. Next, a multi-stage algorithm with new objective functions is used for reconstruction of dependent-temperature properties of a nanomaterial. In the first case, constant absorption coefficient is reconstructed using the radiation intensity of boundaries, in the first stage and constant conduction-radiation parameter is reconstructed using the surface total heat flux in second stage. In the second section, the competency of the proposed multi-stage algorithm for the radiation and conduction temperature-dependent parameters is tested. In the numerical test a thermal insulator constructed from nanomaterial with 1cm thickness is used. The proposed algorithm and new objective functions are presented in this section to decrease sensitivity of Plank number and optical thickness to the measurement error.