Maximizing separation performance of q-cascades for multicomponent isotope separation. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Zeng, Shi; Zhang, Yunan; Jiang, Dongjun; Borisevich, Valentin; Sulaberidze, Georgy; Smirnov, Andrei
• Is Part Of: Separation science and technology. Volume 53:Issue 1(2018)
• Page Start: 97
• Page End: 109
• Publication Date: 2018-01-02
• Subjects: Cascade -- isotope -- optimization -- separations -- virtual component; Separation (Technology) -- Periodicals; 660.284205
• DOI: 10.1080/01496395.2017.1378680
• Languages: English
• ISSNs: 0149-6395

Abstract

ABSTRACT: The Q-cascade is a type of model cascade that is particularly useful for studying multicomponent isotope separation. The cascade segmentation technique is further developed to optimize Q-cascades, which minimizes the relative total flow by splitting a cascade into smaller segments that each use the mass number of the virtual component as a decision variable. Application of this technique to Cadmium isotope separation shows that it is always effective. If the number of segments into which a cascade is split increases, then the minimum relative total flow decreases. A progressive segmentation strategy is developed to maximize the number of segments.