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Title: Aluminum cladding oxide growth prediction for high flux research reactors

Abstract

Aluminum cladding oxidation of research-reactor fuel elements at high power conditions has a disadvantageous effect on fuel performance due to the lower thermal conductivity of the oxide. The oxide growth prediction models available in the literature were mostly developed for low power conditions. To examine the applicability of the models to high power and high temperature test conditions, the models were studied by coupling with the most frequently employed heat transfer coefficient (HTC) correlations including the Dittus-Boelter correlation, the Colburn correlation, the Sieder-Tate correlation, and KAERI-developed correlation. The Griess model over-predicted the oxide growth while the KAERI-Griess model under-predicted the oxide growth for high power tests. The Kim model, coupled with the Colburn correlation, gave most consistent results with the measured data from two BR2 experiments. However, the Kim model was found to be inapplicable to the EUHFRR conditions at the peak power locations if it was coupled with the Dittus-Boelter correlation. A revision of the prediction models to more closely agree with the measured data was recommended. Furthermore, AG3NE and AlFeNi cladding types were tested in the E-FUTURE experiment, and a noticeable (although small) reduction in oxide thickness on the AlFeNi cladding was observed. However, this difference was believedmore » to be only a secondary effect considering other uncertainties in model predictions, so no attempt was made to model the alloying effect.« less

Authors:
 [1];  [2];  [3];  [3];  [3];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Korea Atomic Energy Research Inst. (KAERI), Daejeon (South Korea)
  3. SCK.CEN, Mol (Belgium)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1606400
Alternate Identifier(s):
OSTI ID: 1580774
Grant/Contract Number:  
AC02-06CH11357; AC-02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Nuclear Materials
Additional Journal Information:
Journal Volume: 529; Journal ID: ISSN 0022-3115
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; aluminum alloy cladding, research reactor fuel plate, in-pile oxide data, oxide growth prediction model

Citation Formats

Kim, Yeon Soo, Chae, H. T., Van den Berghe, S., Leenaers, A., Kuzminov, V., and Yacout, A. M.. Aluminum cladding oxide growth prediction for high flux research reactors. United States: N. p., 2019. Web. https://doi.org/10.1016/j.jnucmat.2019.151926.
Kim, Yeon Soo, Chae, H. T., Van den Berghe, S., Leenaers, A., Kuzminov, V., & Yacout, A. M.. Aluminum cladding oxide growth prediction for high flux research reactors. United States. https://doi.org/10.1016/j.jnucmat.2019.151926
Kim, Yeon Soo, Chae, H. T., Van den Berghe, S., Leenaers, A., Kuzminov, V., and Yacout, A. M.. Sun . "Aluminum cladding oxide growth prediction for high flux research reactors". United States. https://doi.org/10.1016/j.jnucmat.2019.151926. https://www.osti.gov/servlets/purl/1606400.
@article{osti_1606400,
title = {Aluminum cladding oxide growth prediction for high flux research reactors},
author = {Kim, Yeon Soo and Chae, H. T. and Van den Berghe, S. and Leenaers, A. and Kuzminov, V. and Yacout, A. M.},
abstractNote = {Aluminum cladding oxidation of research-reactor fuel elements at high power conditions has a disadvantageous effect on fuel performance due to the lower thermal conductivity of the oxide. The oxide growth prediction models available in the literature were mostly developed for low power conditions. To examine the applicability of the models to high power and high temperature test conditions, the models were studied by coupling with the most frequently employed heat transfer coefficient (HTC) correlations including the Dittus-Boelter correlation, the Colburn correlation, the Sieder-Tate correlation, and KAERI-developed correlation. The Griess model over-predicted the oxide growth while the KAERI-Griess model under-predicted the oxide growth for high power tests. The Kim model, coupled with the Colburn correlation, gave most consistent results with the measured data from two BR2 experiments. However, the Kim model was found to be inapplicable to the EUHFRR conditions at the peak power locations if it was coupled with the Dittus-Boelter correlation. A revision of the prediction models to more closely agree with the measured data was recommended. Furthermore, AG3NE and AlFeNi cladding types were tested in the E-FUTURE experiment, and a noticeable (although small) reduction in oxide thickness on the AlFeNi cladding was observed. However, this difference was believed to be only a secondary effect considering other uncertainties in model predictions, so no attempt was made to model the alloying effect.},
doi = {10.1016/j.jnucmat.2019.151926},
journal = {Journal of Nuclear Materials},
number = ,
volume = 529,
place = {United States},
year = {2019},
month = {11}
}

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Works referenced in this record:

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