Optimization of Enriching Cascades Using Genetic Algorithms

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Sayadi, Vahid | 2018

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 50751 (46)
University: Sharif University of Technology
Department: Energy Engineering
Advisor(s): Otukesh, Mohammad; Norouzi, Ali; Ayoubzadeh, Mohsen
Abstract:
One of the challenging issues in Iran's nuclear talks and Group 5+1 countries is the amount of Iran's enrichment capacity and the number of centrifuges needed to meet this demand. In this regard, Iran has recently announced that the basis for determining its enrichment capacity is the supply of fuel for the Bushehr power plant.Modeling and optimizing of gas centrifuge cascade is one of the most important problems in fuel cycle and isotope separation fields. To achieve this goal it is needed to comprehend of single centrifuge operation. Knowing the effectofsingle centrifuge parameters, it is easy to design a desired cascade. Minimizing the number of machines in the cascade is an anticipated fitness function. This thesis, first reviewsthe operation of a single centrifuge in two molecular and continuum region, then it focuses on optimized cascade and transient behavior of it. The optimization of cascade is done by genetic algorithm method
Keywords:
Genetic Algorithm ; Gas Centrifuge ; Nuclear Fuel Cycle ; Isotope Separation ; Cascads Optimization

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