Search Results - "Yamanaka, Akinori"

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  1. 1

    Phase-field Modeling and Simulation of Solid-state Phase Transformations in Steels by Yamanaka, Akinori

    Published in ISIJ International (15-03-2023)
    “…The phase-field method is used as a powerful and versatile computational method to simulate the microstructural evolution taking place during solid-state phase…”
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    Journal Article
  2. 2

    Phase field crystal simulation of grain boundary motion, grain rotation and dislocation reactions in a BCC bicrystal by Yamanaka, Akinori, McReynolds, Kevin, Voorhees, Peter W.

    Published in Acta materialia (01-07-2017)
    “…We investigate grain boundary motion and grain rotation in a body-centered cubic bicrystal composed of a spherical grain embedded in a single crystal matrix by…”
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    Journal Article
  3. 3

    Multi-Phase-Field Simulation of Non-Equilibrium Solidification in 316L Stainless Steel under Rapid Cooling Condition by Segawa, Masahito, Yamanaka, Akinori

    Published in MATERIALS TRANSACTIONS (01-06-2023)
    “…Additive manufacturing has attracted much attention as a new technology for producing lightweight and high-strength materials. The multi-phase-field method has…”
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    Journal Article
  4. 4

    Inverse Estimation of Material Model Parameters Using Digital Image Correlation and Ensemble-Based Four-Dimensional Variational Methods by Sueki, Sae, Ishii, Akimitsu, Yamanaka, Akinori

    Published in MATERIALS TRANSACTIONS (01-08-2024)
    “…The prediction accuracy of the deformation behavior of materials by finite element (FE) simulation depends on the parameters in selected material models…”
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  5. 5

    Deep neural network approach to estimate biaxial stress-strain curves of sheet metals by Yamanaka, Akinori, Kamijyo, Ryunosuke, Koenuma, Kohta, Watanabe, Ikumu, Kuwabara, Toshihiko

    Published in Materials & design (01-10-2020)
    “…To improve the accuracy of a sheet metal forming simulation, the constitutive model is calibrated using results from multiaxial material testing. However,…”
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  6. 6

    Bayesian texture optimization using deep neural network-based numerical material test by Kamijyo, Ryunosuke, Ishii, Akimitsu, Coppieters, Sam, Yamanaka, Akinori

    “…•Develop a DNN surrogate model of crystal plasticity-based numerical material test.•Propose Bayesian texture optimization using DNN and Bayesian…”
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  7. 7

    Voxel coarsening approach on image-based finite element modeling of representative volume element by Watanabe, Ikumu, Yamanaka, Akinori

    “…•A coarsening approach of a structured finite element mesh in image-based finite element modeling was proposed to reduce the computational demand.•The proposed…”
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  8. 8

    Ensemble Kalman filter-based data assimilation for three-dimensional multi-phase-field model: Estimation of anisotropic grain boundary properties by Yamanaka, Akinori, Maeda, Yuri, Sasaki, Kengo

    Published in Materials & design (05-03-2019)
    “…Data assimilation (DA) has been used as a machine learning approach to estimate a system's state and the unknown parameters in its numerical model by…”
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  9. 9

    Estimation of Texture-Dependent Stress-Strain Curve and r-Value of Aluminum Alloy Sheet Using Deep Learning by Koenuma, Kohta, Yamanaka, Akinori, Watanabe, Ikumu, Kuwabara, Toshihiko

    Published in MATERIALS TRANSACTIONS (01-12-2020)
    “…The deformation of an aluminum alloy sheet is affected by its underlying crystallographic texture and has been extensively studied using the crystal plasticity…”
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    Journal Article
  10. 10

    Phase-field modeling for pH-dependent general and pitting corrosion of iron by Tsuyuki, Chisa, Yamanaka, Akinori, Ogimoto, Yasushi

    Published in Scientific reports (24-08-2018)
    “…This study proposes a new phase-field (PF) model to simulate the pH-dependent corrosion of iron. The model is formulated based on Bockris’s iron dissolution…”
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  11. 11

    Novel estimation method for anisotropic grain boundary properties based on Bayesian data assimilation and phase-field simulation by Miyoshi, Eisuke, Ohno, Munekazu, Shibuta, Yasushi, Yamanaka, Akinori, Takaki, Tomohiro

    Published in Materials & design (01-11-2021)
    “…[Display omitted] •A novel estimation method for anisotropic grain boundary energy and mobility was proposed using data assimilation and phase-field…”
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  12. 12

    Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties by Miyoshi, Eisuke, Ohno, Munekazu, Shibuta, Yasushi, Yamanaka, Akinori, Takaki, Tomohiro

    Published in Journal of materials science (01-09-2022)
    “…The mean-field theory proposed by Humphreys is widely used to predict or interpret abnormal grain growth induced by nonuniform grain boundary properties. Based…”
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  13. 13

    Multi-phase-field simulation of cyclic phase transformation in Fe-C-Mn and Fe-C-Mn-Si alloys by Segawa, Masahito, Yamanaka, Akinori, Nomoto, Sukeharu

    Published in Computational materials science (01-08-2017)
    “…[Display omitted] The stagnant and inverse transformation stages during cyclic phase transformation in the two-phase region “ferrite+austenite” (intercritical…”
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  14. 14

    Development of Microstructure Simulation System in SIP-Materials Integration Projects by Koyama, Toshiyuki, Ohno, Munekazu, Yamanaka, Akinori, Kasuya, Tadashi, Tsukamoto, Susumu

    Published in MATERIALS TRANSACTIONS (01-11-2020)
    “…A simulation system for the phase transformations and microstructure changes in welded area of steels was built with Materials Integration (MI) concepts. We…”
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  15. 15

    Data assimilation for three-dimensional phase-field simulation of dendritic solidification using the local ensemble transform Kalman filter by Yamanaka, Akinori, Takahashi, Kazuki

    Published in Materials today communications (01-12-2020)
    “…[Display omitted] •Local ensemble transform Kalman filter-based data assimilation was applied for the first time to 3D phase-field model of dendritic…”
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  16. 16

    Unexpected selection of growing dendrites by very-large-scale phase-field simulation by Takaki, Tomohiro, Shimokawabe, Takashi, Ohno, Munekazu, Yamanaka, Akinori, Aoki, Takayuki

    Published in Journal of crystal growth (01-11-2013)
    “…Dendrites are typical growth morphologies in alloy solidification. However, the ways in which dendrites grow and form solidification microstructures remain…”
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  17. 17

    Modulated Structure Formation in Dislocation Cells in 316L Stainless Steel Fabricated by Laser Powder Bed Fusion by Sun, Fei, Ogawa, Toshio, Adachi, Yoshitaka, Sato, Kazuhisa, Takagi, Shunya, Miyamoto, Goro, Suzuki, Asuka, Yamanaka, Akinori, Nakada, Nobuo, Ishimoto, Takuya, Nakano, Takayoshi, Koizumi, Yuichiro

    Published in MATERIALS TRANSACTIONS (01-06-2023)
    “…Metal additive manufacturing enables producing complex geometric structures with high accuracy and breaks the design constraints of traditional manufacturing…”
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  18. 18

    Efficient estimation of material parameters using DMC-BO: Application to phase-field simulation of solid-state sintering by Ishii, Akimitsu, Yamanaka, Akinori, Miyoshi, Eisuke, Yamamoto, Akiyasu

    Published in Materials today communications (01-03-2022)
    “…Phase-field (PF) simulations require data on physical properties and material parameters, which are largely unknown. Although data assimilation (DA) offers a…”
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  19. 19

    DMC-TPE: tree-structured Parzen estimator-based efficient data assimilation method for phase-field simulation of solid-state sintering by Ishii, Akimitsu, Yamamoto, Akiyasu, Yamanaka, Akinori

    “…In phase-field simulations, accurate material parameters are required to quantitatively predict microstructural evolutions. Non-sequential data assimilations…”
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