Estimation of Emissivity of the Surface Using Jaya Algorithm
Authors :- Shah S.; Parwani A.K.
Publication :- Recent Advances in Thermal Sciences and Engineering, Lecture Notes in Mechanical Engineering, Springer 2023.
In this work, a one-dimension heat conduction problem has been considered with one of the boundary surfaces has been subjected to high temperature, while the other boundary surface is radiating in a vacuum whose emissivity is unknown. The unknown total hemispherical emissivity is estimated from the simulated temperature distribution of one-dimension opaque material by using the Jaya algorithm. Jaya algorithm is a stochastic algorithm that requires few parameters for its search operation and has been effective in solving inverse problems. The algorithm has been tested with different numbers and positions of sensors. The results indicate that the Jaya algorithm is an accurate and stable algorithm for the estimation of emissivity of opaque surfaces.