TOMOGRAPHIC IDENTIFICATION OF GAS-BUBBLES IN 2-PHASE FLOWS WITH THE COMBINED USE OF THE ALGEBRAIC RECONSTRUCTION TECHNIQUE AND THE GENETIC ALGORITHM

Combined use of the algebraic reconstruction technique (ART) and the g enetic algorithm (GA) shows highly accurate and efficient tomographic reconstruction of line-of-sight projection images of two-phase flows c ompared with reconstructions obtained by separate use of these methods . A modified GA-based tomography uses the ART reconstruction result as preliminary information on the number. shapes, and sizes of bubbles t o be? reconstructed. This combined use of the two methods exploits fas ter convergence of the ART to the approximate solution space and more robust and accurate optimization of the GA to the ultimate solution sp ace. In the investigation a computer-synthesized phantom field that co nsisted of five elliptical gas bubbles in liquid or solid surroundings was used. (C) 1998 Optical Society of America.