Iterative Three-Dimensional Tomographic Reconstruction of Flame Using MENT

Non-intrusive reconstruction of the three-dimensional structure like flame is computationally difficult and expensive problem. Conventional methods like algebraic and multiplicative algebraic reconstruction techniques are inefficient for reconstruction of flame, as feasible number of projections are limited. Therefore, Maximization of Entropy Technique (MENT) is considered in this work to reconstruct the luminosity distribution of a flame. The correctness of the proposed method is verified with the standard cosine phantom object. Furthermore, various noise levels are intentionally induced to evaluate the anti-noise ability of the proposed method. The numerical simulation results show that reconstruction errors and the optimal relaxation factors are greatly influenced by the noise; thus in this paper, the optimal relaxation factors for the proposed method are also analysed and discussed. Lastly, the 3-D flame shape has been reconstructed, and flame thickness at bottom is obtained as 5.5 cm.