Abstract
Overall optimization of strategies for separation of middle components by squared-off cascades leads to more economical design due to reducing the cost of the plant. This research was conducted in order to compare the performance of squared-off cascades with different number of sections in the separation of middle isotope 125Te to 90% concentration level. The optimization algorithms used in this field are particle swarm optimization and sine cosine optimization. In these algorithms, a particular fitness function is employed to minimize the total interstage flow of the cascade by determining the optimal value for the total number of separation elements and maximizing the average recovery factor of all steps. Overall, the results showed the functionality of the proposed approach, and it could be used to separate middle components. The PSO algorithm performed better than SCA by 5% on average and outperformed some other algorithms.
Published Version
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