Estimation of emissivities in a two-dimensional irregular geometry by inverse radiation analysis using hybrid genetic algorithm

Inverse estimation of properties for charring material using a hybrid genetic algorithm

“…Property estimation for unsaturated polyester fiberglass reinforced plastic (FRP) composite was conducted using the experimental data with a generalized pyrolysis model predictions, Gpyro [8]. Kim et al have applied the HGA for estimating the wall emissivities by using the radiative heat transfer data in a two dimensional enclosure [9].…”

Inverse analysis applied to retrieval of parameters and reconstruction of temperature field in a transient conduction–radiation heat transfer problem involving mixed boundary conditions

“…For many thermal devices, these quantities are known, and thermal analyses of such devices are, therefore, relatively less involved. However, in varieties of heat transfer problems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], one or more of the quantities such as medium properties, initial condition and boundary conditions remain unknown. Determination of these unknown quantities relies on experiments as well as numerical methodologies involving an inverse method.…”

“…A finite-element method along with a modified Newton Raphson method to estimate boundary condition in a non-linear heat conduction problem was employed by Yang [13]. An inverse conduction-radiation problem to estimate emissivity in a 2-D geometry was investigated by Kim et al [14]. They used the FVM and the hybrid genetic algorithm (GA) in their inverse problem.…”

“…They have solved conduction and/or radiation problems involving 1-D and 2-D Cartesian geometry [16,17], cylindrical geometry [18] and conduction-radiation problem involving variable thermal conductivity [19] in a planar medium. From the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], it has been observed that an inverse method has not been applied to a combined mode conductionradiation problem that deal with two types of boundary conditions and one of the objectives remains to simultaneously estimate of one of the unknown boundary conditions and a boundary property. These days, usage of the LBM-FVM has gained wide popularity in conduction radiation problems, and the GA is an efficient optimization tool [14,[16][17][18][19]21,22].…”

Optimal Boundary Design of Radiant Enclosures Using Micro-Genetic Algorithm (Effects of Refractory Properties and Aspect Ratio of Enclosure on Heaters Setting)

“…Li and Yang applied genetic algorithm to solve the inverse problem for simultaneously determining the single scattering albedo, the optical thickness and the phase function from the knowledge of the exit radiation intensities (13) . Kim et al (14), (15) used hybrid genetic algorithm for estimating wall emissivities in two-dimensional irregular geometry and also applied it to inverse surface radiation analysis in an axisymmetric cylindrical enclosure. When the enclosure contains specular surfaces, the Monte Carlo method (MCM) or radiation element method by ray emission model (REM 2 ) is usually used to solve radiation transfer equation.…”