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 - 2020/2
Y1 - 2020/2
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
SN - 0022-3115
VL - 529
JO - Journal of Nuclear Materials
JF - Journal of Nuclear Materials
M1 - 151926
ER -