TY - JOUR
T1 - Suppressing Natural Convection for Self-diffusion Measurement in Liquid Pb Using Shear Cell Technique by Stable Density Layering of Isotopic Concentration
AU - Shiinoki, Masato
AU - Nishimura, Yuki
AU - Noboribayashi, Kanemaru
AU - Suzuki, Shinsuke
N1 - Funding Information:
This work was supported by a Grant-in-Aid for Scientific Research (C) Grant Number JP19K04990, Grant-in-Aid for JSPS Fellows Grant Number JP20J14950, and conducted as a part of the research project in 2019 for Research Assistant (Masato Shiinoki) at Kagami Memorial Research Institute for Materials Science and Technology, Waseda University. The authors would also like to thank the Environmental Safety Center, Waseda University, for assistance with the sample analysis, and Kimura Foundry Co., Ltd. for their financial support.
Publisher Copyright:
© 2021, The Minerals, Metals & Materials Society and ASM International.
PY - 2021/12
Y1 - 2021/12
N2 - This study aims to demonstrate a condition for suppressing natural convection for self-diffusion measurement in liquid metal by stable density layering of isotopic concentration. The self-diffusion coefficients (DPb) of 204Pb, 206Pb, 207Pb, and 208Pb were measured using the shear cell technique at 773 K (500 °C). Simultaneously, the impurity diffusion coefficient (DAg) of Ag, which is a marker to compare DAg with the reference data of suppressing natural convection, was measured. From the concentration profiles of Pb isotopes, density distributions were calculated using an approximation of the linear relationship between the density and isotopic concentration; in addition, density gradients, which were defined as the inner product between gravity vector and density gradient calculated from the density distribution, were obtained. The results suggest that DAg was in good agreement with the relative error in the reference data (within 0.47 pct), which can be attributed to the suppression of natural convection by predicted stable conditions. In contrast, natural convection was confirmed as DAg was three times larger than the reference data in predicted unstable conditions. From the density distribution obtained after the diffusion process, when the density gradient with the largest absolute value was greater than zero, the suppression of natural convection was confirmed in the self-diffusion measurements.
AB - This study aims to demonstrate a condition for suppressing natural convection for self-diffusion measurement in liquid metal by stable density layering of isotopic concentration. The self-diffusion coefficients (DPb) of 204Pb, 206Pb, 207Pb, and 208Pb were measured using the shear cell technique at 773 K (500 °C). Simultaneously, the impurity diffusion coefficient (DAg) of Ag, which is a marker to compare DAg with the reference data of suppressing natural convection, was measured. From the concentration profiles of Pb isotopes, density distributions were calculated using an approximation of the linear relationship between the density and isotopic concentration; in addition, density gradients, which were defined as the inner product between gravity vector and density gradient calculated from the density distribution, were obtained. The results suggest that DAg was in good agreement with the relative error in the reference data (within 0.47 pct), which can be attributed to the suppression of natural convection by predicted stable conditions. In contrast, natural convection was confirmed as DAg was three times larger than the reference data in predicted unstable conditions. From the density distribution obtained after the diffusion process, when the density gradient with the largest absolute value was greater than zero, the suppression of natural convection was confirmed in the self-diffusion measurements.
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U2 - 10.1007/s11663-021-02300-9
DO - 10.1007/s11663-021-02300-9
M3 - Article
AN - SCOPUS:85116748728
SN - 1073-5615
VL - 52
SP - 3846
EP - 3859
JO - Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
JF - Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
IS - 6
ER -