Derivation of empirical equations for neutronic performance in a thorium fusion breeder with various coolants using regression analysis

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Date

2011

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Pergamon-elsevier Science Ltd

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

In this paper, regression analyses (RA) are presented for the neutronic calculation of ThO2 mixed (CmO2)-Cm-244 fuel with different neutronic parameters for various coolants, natural lithium, Li20Sn80 and Flinabe, respectively. The tritium breeding ratio (TBR), energy multiplication factor (M), total fission rate (Xi) and Th-232(n, gamma) reaction is computed by XSDRNPM. In addition, this numerical results are estimated by RA depends on neutronic parameters and the empirical equations for neutronic performance are acquired. The results obtained by using XSDRNPM and the results of the RA, obtained empirical equations, are compared. The empirical equations indicate that RA can successfully be used for the prediction of the neutronic performance parameters in the hybrid reactor with a high degree of accuracy. In addition, correlation matrix is calculated to determined statistical relationships between variables TBR, M, Sigma(f), and Th-232(n, gamma). (C) 2011 Elsevier Ltd. All rights reserved.

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Pekin Alakoc, Nilufer/0000-0001-5757-8602

Keywords

Regression analysis, Correlation matrix, Neutronic analysis

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0

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Q1

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Volume

38

Issue

8

Start Page

9619

End Page

9625

URI

https://doi.org/10.1016/j.eswa.2011.01.154
 https://hdl.handle.net/20.500.14411/1351

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