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Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures

عنوان مقاله: Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures
شناسه ملی مقاله: JR_JORNA-3-2_001
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

M. Imani - Engineering Department, Shahid Beheshti University, G.C., P.O. Box: ۱۹۸۳۹۶۳۱۱۳, Tehran, Iran
M. Aghaei - Engineering Department, Shahid Beheshti University, G.C., P.O. Box: ۱۹۸۳۹۶۳۱۱۳, Tehran, Iran

خلاصه مقاله:
In this paper, optimization of a system of square cascades for separation of middle isotopes is introduced, and the optimal square cascade for use in this system is presented. In this case, ۱۳۰Xe which is a middle isotope, is presented as an example. The separation of this isotope is much more complex than that of other isotopes. The Grey Wolf Algorithm is applied for the optimization, and the parameters of cascade feed flow rate, cut of the cascade, feed location, feed flow of gas centrifuges (GC), and the cut of the first stage are optimized in such a way that the maximum recovery of the target isotope and the maximum cascade capacity are obtained. The optimization results showed that for the nine selected cascades with ۱۸۰ GCs, the more stages the cascade has, the less number of separation steps are required and the recovery factor and the amount of product increase.

کلمات کلیدی:
Square cascade, ۱۳۰Xe, GWO Optimization algorithm, Stable isotope separation, Middle isotopes

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1684169/