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Sugimoto, Chihiro; Myagmarjav, O.; Tanaka, Nobuyuki; Noguchi, Hiroki; Takegami, Hiroaki; Kubo, Shinji
International Journal of Hydrogen Energy, 95, p.98 - 107, 2024/12
Times Cited Count:0 Percentile:0.00(Chemistry, Physical)Shimizu, Kazuyuki*; Nishimura, Katsuhiko*; Matsuda, Kenji*; Nunomura, Norio*; Namiki, Takahiro*; Tsuchiya, Taiki*; Akamaru, Satoshi*; Lee, S.*; Tsuru, Tomohito; Higemoto, Wataru; et al.
International Journal of Hydrogen Energy, 95, p.292 - 299, 2024/12
Times Cited Count:0 Percentile:0.00(Chemistry, Physical)Zero-field muon spin relaxation experiments were conducted on Al-0.06%Mn, Al-0.06%Cr, Al-0.02%Fe, and Al-0.02%Ni alloys (at.%) across the temperature ranging from 5 to 300 K. The temperature-dependent variations of the dipole field widths () elucidated four distinct peaks for the prepared alloys. Atomic configurations of the muon trapping sites corresponding to the observed
peaks below 200 K were meticulously characterized utilizing first-principles calculations for the trapping energies of hydrogen in proximity to a solute and solute-vacancy pair. This comprehensive analysis facilitated the establishment of a linear correlation between the muon
peak temperature and the hydrogen trapping energy. However, significant deviations from this linear relationship were observed for the fourth
peaks above 200 K in Al-Mn, Al-Cr, Al-Fe, and Al-Ni alloys. This discrepancy can be interpreted by considering the disparate distribution functions of muon and hydrogen within the tetrahedral site, wherein two of the four Al atoms are substituted by the solute element and vacancy (solute-vacancy pair).
Doi, Daisuke
International Journal of Hydrogen Energy, 91, p.1245 - 1252, 2024/11
Times Cited Count:0 Percentile:0.00(Chemistry, Physical)Shibayama, Yuki; Hojo, Tomohiko*; Koyama, Motomichi*; Akiyama, Eiji*
International Journal of Hydrogen Energy, 88, p.1010 - 1016, 2024/10
Matsumoto, Toshinori; Hibiki, Takashi*; Maruyama, Yu
International Journal of Energy Research, 2024(1), p.9748588_1 - 9748588_18, 2024/08
Times Cited Count:0 Percentile:0.00(Energy & Fuels)To evaluate the effectiveness of the wet cavity strategy, the authors developed a stochastic evaluation method that considers the uncertainties of the molten material conditions ejected from reactor pressure vessels. The first step was uncertainty analysis using the MELCOR code to obtain the melt condition. Five uncertain parameters related to the core degradation process were chosen. The input parameter sets were generated using Latin hypercube sampling. The second step was analyzing of the melt-behavior using the JASMINE code. The probabilistic distribution of parameters for the JASMINE analyses was determined from the MELCOR analysis results. The initial water depth was set to 0.5, 1.0, and 2.0 m. The debris height was compared with the criterion to judge its coolability. Consequently, the success probability of debris cooling was obtained through a sequence of calculations. The feasibility and technical difficulties in the MELCOR-JASMINE combined analysis were also discussed.
Okagaki, Yuria; Hibiki, Takashi*; Shibamoto, Yasuteru
International Journal of Energy Research, 2024, p.5114542_1 - 5114542_37, 2024/04
Times Cited Count:0 Percentile:0.00(Energy & Fuels)Motegi, Kosuke; Shibamoto, Yasuteru; Hibiki, Takashi*; Tsukamoto, Naofumi*; Kaneko, Junichi*
International Journal of Energy Research, 2024, p.6029412_1 - 6029412_22, 2024/01
Times Cited Count:1 Percentile:72.25(Energy & Fuels)Convection, wherein forced and natural convections are prominent, is known as mixed convection. Specifically, when a forced convection flow is downward, this flow is called opposing flow. Several heat transfer correlations have been reported related to single-phase opposing flow; however, these correlations are based on experiments conducted in various channel geometries, working fluids, and thermal flow parameter ranges. Because the definition of nondimensional parameters and their validated range confirmed by experiments differ for each correlation reported in previous studies, establishing a guideline for deciding which correlation should be selected based on its range of applicability and extrapolation performance is important. This study reviewed the existing heat transfer correlations for turbulent opposing-flow mixed convection and the single-phase heat transfer correlations implemented in the thermal-hydraulic system codes. Furthermore, we evaluated the predictive performance of each correlation by comparing them with the experimental data obtained under various experimental conditions. The Jackson and Fewster, Churchill, and Swanson and Catton correlations (Int. J Heat Mass Transf., 1987) can accurately predict all the experimental data. The effect of the difference in the thermal boundary conditions, i.e., uniform heat flux and uniform wall temperature, on the turbulent mixed-convection heat transfer coefficient is not substantial. We confirmed that heat transfer correlations using the hydraulic-equivalent diameter as a characteristic length can be used for predictions regardless of channel-geometry differences. Furthermore, correlations described based on nondimensional dominant parameters can be used for predictions regardless of the differences in working fluids.
Ikeda, Kazutaka*; Sashida, Sho*; Otomo, Toshiya*; Oshita, Hidetoshi*; Honda, Takashi*; Hawai, Takafumi*; Saito, Hiraku*; Ito, Shinichi*; Yokoo, Tetsuya*; Sakaki, Koji*; et al.
International Journal of Hydrogen Energy, 51(Part A), p.79 - 87, 2024/01
Times Cited Count:4 Percentile:31.48(Chemistry, Physical)Mao, W.*; Fukutani, Katsuyuki; 8 of others*
International Journal of Hydrogen Energy, 50(Part D), p.969 - 978, 2024/01
Times Cited Count:3 Percentile:31.48(Chemistry, Physical)Ebihara, Kenichi; Sekine, Daiki*; Sakiyama, Yuji*; Takahashi, Jun*; Takai, Kenichi*; Omura, Tomohiko*
International Journal of Hydrogen Energy, 48(79), p.30949 - 30962, 2023/09
Times Cited Count:0 Percentile:0.00(Chemistry, Physical)To understand hydrogen embrittlement (HE), which is one of the stress corrosion cracking of steel materials, it is necessary to know the H distribution in steel, which can be effectively interpreted by numerical simulation of thermal desorption spectra. In weld metals and TRIP steels, residual austenite significantly influences the spectra, but a clear H distribution is not well known. In this study, an originally coded two-dimensional model was used to numerically simulate the previously reported spectra of high-carbon ferritic-austenitic duplex stainless steels, and it was found that H is mainly trapped at the carbide surface when the amount of H in the steel is low and at the duplex interface when the amount of H is high. It was also found that the thickness dependence of the H desorption peak for the interface trap site is caused by a different reason than the conventional one.
Han, X.*; Tanida, Kiyoshi; Belle Collaboration*; 170 of others*
Journal of High Energy Physics (Internet), 2023(1), p.55_1 - 55_12, 2023/01
Times Cited Count:2 Percentile:36.50(Physics, Particles & Fields)Yang, Z.*; Wang, G.-J.*; Wu, J.-J.*; Oka, Makoto; Zhu, S.-L.*
Journal of High Energy Physics (Internet), 2023(1), p.058_1 - 058_19, 2023/01
Times Cited Count:7 Percentile:75.89(Physics, Particles & Fields)Combining the quark model, the quark-pair-creation mechanism and interaction, we have investigated the near-threshold
-wave
states in the framework of the Hamiltonian effective field theory. With the heavy quark flavor symmetry, all the parameters are determined in the
sector by fitting the lattice data. The masses of the bottom-strange partners of the
and
are predicted, which are well consistent with the lattice QCD simulation. The two
-wave
states are the mixtures of the bare
core and
component. Moreover, we find a crossing point between the energy levels with and without the interaction Hamiltonian in the finite volume spectrum in the
case, which corresponds to a CDD (Castillejo-Dalitz-Dyson) zero in the
-matrix of the
scattering. This CDD zero will help deepen the insights of the near-threshold states and can be examined by future lattice calculation.
Kimizuka, Hajime*; Thomsen, B.; Shiga, Motoyuki
Journal of Physics; Energy (Internet), 4(3), p.034004_1 - 034004_13, 2022/07
Times Cited Count:16 Percentile:76.21(Chemistry, Physical)Artificial neural network-based interatomic potential for a system of palladium and hydrogen was developed, and path integral molecular dynamics simulations were performed to study the quantum diffusion of hydrogen isotopes in palladium crystals. Diffusion coefficients of light and heavy hydrogen were calculated over a wide temperature range of 50-1500 K to clarify the difference in diffusion mechanisms at low and high temperatures.
Osamura, Naohiro*; Gubler, P.; Yamanaka, Nodoka*
Journal of High Energy Physics (Internet), 2022(6), p.072_1 - 072_30, 2022/06
Times Cited Count:6 Percentile:53.96(Physics, Particles & Fields)Patra, S.*; Tanida, Kiyoshi; Belle Collaboration*; 216 of others*
Journal of High Energy Physics (Internet), 2022(5), p.95_1 - 95_17, 2022/05
Times Cited Count:7 Percentile:59.07(Physics, Particles & Fields)Inami, Kenji*; Tanida, Kiyoshi; Belle Collaboration*; 186 of others*
Journal of High Energy Physics (Internet), 2022(04), p.110_1 - 110_13, 2022/04
Times Cited Count:12 Percentile:76.64(Physics, Particles & Fields)Li, S. X.*; Tanida, Kiyoshi; Belle Collaboration*; 197 of others*
Journal of High Energy Physics (Internet), 2022(3), p.90_1 - 90_11, 2022/03
Times Cited Count:8 Percentile:63.55(Physics, Particles & Fields)Abudinn, F.*; Tanida, Kiyoshi; Belle II Collaboration*; 319 of others*
Journal of High Energy Physics (Internet), 2022(2), p.63_1 - 63_33, 2022/02
Times Cited Count:4 Percentile:41.01(Physics, Particles & Fields)Uno, Kenta*; Tanida, Kiyoshi; Belle Collaboration*; 181 of others*
Journal of High Energy Physics (Internet), 2021(10), p.19_1 - 19_12, 2021/10
Times Cited Count:25 Percentile:83.55(Physics, Particles & Fields)Li, L. K.*; Tanida, Kiyoshi; Belle Collaboration*; 187 of others*
Journal of High Energy Physics (Internet), 2021(9), p.75_1 - 75_21, 2021/09
Times Cited Count:1 Percentile:7.55(Physics, Particles & Fields)