SQUARED-OFF CASCADES OPTIMIZATION TO SEPARATE STABLE ISOTOPES UP TO HIGH-ENRICHED USING INTELLIGENT PSO, WOA, AND DA ALGORITHMS

This paper suggests the optimized squared-off cascades (SOCs) with a certain number of gas centrifuges (GCs) to separate stable isotopes, such as the lightest and heaviest isotopes of molybdenum (100Mo and 92Mo) up to 99.9% richness, using the particle swarm optimization (PSO), the whale optimization algorithm (WOA), and the dragonfl y algorithm (DA). To do this, the SOC-PSO, SOC-WOA, and SOC-DA codes are developed to optimize the parameters of SOCs. Then the performances of these codes in optimizing SOCs for separating each of 92Mo and 100Mo isotopes are compared based on the recovery factor, the feed intake, and the amount of production with the use of 120 gas centrifuges. The recovery coeffi cients of SOCs for 92Mo and 100Mo isotopes obtained by the SOC-PSO code are 82 and 80%, respectively. Finally, the performances of the PSO, WOA, and DA algorithms in optimizing SOCs for each of light and heavy isotopes are compared, and a higher effi ciency of the PSO algorithm is revealed
This paper suggests the optimized squared-off cascades (SOCs) with a certain number of gas centrifuges (GCs) to separate stable isotopes, such as the lightest and heaviest isotopes of molybdenum (100Mo and 92Mo) up to 99.9% richness, using the particle swarm optimization (PSO), the whale optimization algorithm (WOA), and the dragonfl y algorithm (DA). To do this, the SOC-PSO, SOC-WOA, and SOC-DA codes are developed to optimize the parameters of SOCs. Then the performances of these codes in optimizing SOCs for separating each of 92Mo and 100Mo isotopes are compared based on the recovery factor, the feed intake, and the amount of production with the use of 120 gas centrifuges. The recovery coeffi cients of SOCs for 92Mo and 100Mo isotopes obtained by the SOC-PSO code are 82 and 80%, respectively. Finally, the performances of the PSO, WOA, and DA algorithms in optimizing SOCs for each of light and heavy isotopes are compared, and a higher effi ciency of the PSO algorithm is revealed
Author:  F. Ardestani, J. Safdari, M. H. Mallah
Keywords:  squared-off cascade (SOC), gas centrifuge (GC), multicomponent separation, particle swarm optimization (PSO), whale optimization algorithm (WOA), dragonfl y algorithm (DA).
Page:  882