Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 52 9 2019 02 14 Simultaneously Reconstruction of Radiation-Conduction Properties of Nanomaterial Thermal Insulators with Particle Swarm Optimization Algorithm Simultaneously Reconstruction of Radiation-Conduction Properties of Nanomaterial Thermal Insulators with Particle Swarm Optimization Algorithm 2551 2568 3291 10.22060/mej.2019.14880.5966 FA Mehdi Pakdaman department of mechanical engineering, University of Sistan and Baluchestan, Zahedan, Iran Samira Payan Department of mechanical engineering, University of Sistan and Baluchestan, Iran Seyed Masoud Hoseini Sarvari Shahid Bahonar University of Kerman Sohila Mohammadpour department of mechanical engineering, university of sistan and baluchestan, iran Journal Article 2018 08 24 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 and 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. 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 and 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. https://mej.aut.ac.ir/article_3291_980a875ff6ef9c2d75e74307cbf5d205.pdf