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 dragonfly 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 coefficients 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 efficiency of the PSO algorithm is revealed
  Автор:  F. Ardestani, J. Safdari, M. H. Mallah
Ключевые слова:  squared-off cascade (SOC), gas centrifuge (GC), multicomponent separation, particle swarm optimization (PSO), whale optimization algorithm (WOA), dragonfly algorithm (DA)
Стр:  882