Aluminum cladding oxide growth prediction for high flux research reactors

Research output: Contribution to journalArticle

Standard

Aluminum cladding oxide growth prediction for high flux research reactors. / Kim, Yeon Soo; Chae, H.T.; Van den Berghe, Sven; Leenaers, Ann; Kuzminov, Vadim; Yacout, A.M.

In: Journal of Nuclear Materials, Vol. 529, 151926, 24.11.2019, p. 1-13.

Research output: Contribution to journalArticle

Author

Kim, Yeon Soo ; Chae, H.T. ; Van den Berghe, Sven ; Leenaers, Ann ; Kuzminov, Vadim ; Yacout, A.M. / Aluminum cladding oxide growth prediction for high flux research reactors. In: Journal of Nuclear Materials. 2019 ; Vol. 529. pp. 1-13.

Bibtex - Download

@article{7a3b50701be948568979229d604f3358,
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 KAERIdeveloped 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. AG3NE and AlFeNi cladding types were tested in the EFUTURE 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.",
keywords = "Aluminum alloy cladding, Research reactor fuel plate, In-pile oxide data, Oxide growth prediction model",
author = "Kim, {Yeon Soo} and H.T. Chae and {Van den Berghe}, Sven and Ann Leenaers and Vadim Kuzminov and A.M. Yacout",
note = "Score=10",
year = "2019",
month = "11",
day = "24",
doi = "10.1016/j.jnucmat.2019.151926",
language = "English",
volume = "529",
pages = "1--13",
journal = "Journal of Nuclear Materials",
issn = "0022-3115",
publisher = "Elsevier",

}

RIS - Download

TY - JOUR

T1 - Aluminum cladding oxide growth prediction for high flux research reactors

AU - Kim, Yeon Soo

AU - Chae, H.T.

AU - Van den Berghe, Sven

AU - Leenaers, Ann

AU - Kuzminov, Vadim

AU - Yacout, A.M.

N1 - Score=10

PY - 2019/11/24

Y1 - 2019/11/24

N2 - 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 KAERIdeveloped 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. AG3NE and AlFeNi cladding types were tested in the EFUTURE 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.

AB - 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 KAERIdeveloped 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. AG3NE and AlFeNi cladding types were tested in the EFUTURE 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.

KW - Aluminum alloy cladding

KW - Research reactor fuel plate

KW - In-pile oxide data

KW - Oxide growth prediction model

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/36548753

U2 - 10.1016/j.jnucmat.2019.151926

DO - 10.1016/j.jnucmat.2019.151926

M3 - Article

VL - 529

SP - 1

EP - 13

JO - Journal of Nuclear Materials

JF - Journal of Nuclear Materials

SN - 0022-3115

M1 - 151926

ER -

ID: 5874527