Updated on 2024/06/10

写真a

 
MIYOSHI EISUKE
 
Organization
Graduate School of Engineering Division of Mechanical Engineering Lecturer
School of Engineering Department of Mechanical Engineering
Title
Lecturer
Affiliation
Institute of Engineering

Position

  • Graduate School of Engineering Division of Mechanical Engineering 

    Lecturer  2023.04 - Now

  • School of Engineering Department of Mechanical Engineering 

    Lecturer  2023.04 - Now

Degree

  • 博士(工学) ( Kyoto Institute of Technology )

Research Interests

  • Computational materials science

  • Grain boundary

  • Microstructure

  • Recrystallization & grain growth

  • Phase-field method

Professional Memberships

  • The Society of Materials Science, Japan

    2017.04 - Now

  • The Iron and Steel Institute of Japan

    2016.04 - Now

  • The Japan Society of Mechanical Engineers

    2014.10 - Now

Awards

  • 日本材料学会学術奨励賞

    三好 英輔

    2022.05   日本材料学会  

  • 日本機械学会奨励賞(研究)

    三好 英輔

    2022.04   日本機械学会  

  • 第68期学術講演会 優秀講演発表賞

    三好 英輔

    2019.06   日本材料学会  

  • 鉄鋼プロセス研究会・材料化学研究会 平成30年度第2回合同研究会 優秀発表賞

    三好 英輔

    2018.12   日本鉄鋼協会関西支部・日本金属学会関西支部  

  • Poster Award

    2018.11   The 9th International Conference on Multiscale Materials Modeling (MMM2018)  

  • 第31回計算力学講演会 Phase-Field Student Award

    三好 英輔

    2018.11   日本機械学会  

  • ポスター支部長賞

    三好 英輔

    2017.12   日本材料学会関西支部  

  • Best Oral Presentation Award

    2017.08   10th Pacific Rim International Conference on Modeling of Casting and Solidification Processes (MCSP2017)  

  • 三浦賞

    三好 英輔

    2017.03   日本機械学会  

  • 第173回春季講演大会学生ポスターセッション 優秀賞

    三好 英輔

    2017.03   日本鉄鋼協会  

  • 第171回春季講演大会学生ポスターセッション 努力賞

    三好 英輔

    2016.03   日本鉄鋼協会  

  • 第1回材料WEEK若手学生研究発表会 ベストプレゼンテーション賞

    三好 英輔

    2015.10   日本材料学会  

  • 第28回計算力学講演会 Phase-Field Student Award

    三好 英輔

    2015.10   日本機械学会  

  • 学長表彰

    三好 英輔

    2015.03   京都工芸繊維大学  

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Job Career (off-campus)

  • Osaka Metropolitan University   Graduate School of Engineering   Lecturer/Assistant Professor

    2023.04 - Now

  • Tokyo University of Agriculture and Technology   Division of Advanced Mechanical Systems Engineering, Institute of Engineering   Assistant Professor

    2020.11 - 2023.03

  • Kyoto Institute of Technology   Project Researcher

    2020.04 - 2020.10

  • Japan Society for the Promotion of Science   Research Fellow (DC1)

    2017.04 - 2020.03

Papers

  • Custom Mechano-Functional Control by Formation of Specific Interfaces via Metal 3D Printing―Learning from Hierarchical Anisotropic Architecture in Bone

    Nakano Takayoshi, Ishimoto Takuya, Matsugaki Aira, Ozasa Ryosuke, Gokcekaya Ozkan, Yasuda Hiroyuki Y., Cho Ken, Koizumi Yuichiro, Okugawa Masayuki, Yoshiya Masato, Fujii Susumu, Tane Masakazu, Miyoshi Eisuke, Higashino Shota

    Materia Japan   63 ( 1 )   36 - 41   2024.01( ISSN:13402625

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  • Effects of aluminum and oxygen additions on quenched-in compositional fluctuations, dynamic atomic shuffling, and their resultant diffusionless isothermal ω transformation in ternary Ti–V-based alloys with bcc structure

    Masakazu Tane, Hiroki Nishio, Daisuke Egusa, Taisuke Sasaki, Eiji Abe, Eisuke Miyoshi, Shota Higashino

    Acta Materialia   255   119034 - 119034   2023.05( ISSN:1359-6454

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.actamat.2023.119034

  • Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties

    Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka, Tomohiro Takaki

    Journal of Materials Science   57 ( 35 )   16690 - 16709   2022.09( ISSN:0022-2461

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/s10853-022-07660-4

    Other URL: https://link.springer.com/article/10.1007/s10853-022-07660-4/fulltext.html

  • Efficient estimation of material parameters using DMC-BO: Application to phase-field simulation of solid-state sintering

    Akimitsu Ishii, Akinori Yamanaka, Eisuke Miyoshi, Akiyasu Yamamoto

    MATERIALS TODAY COMMUNICATIONS   30   2022.03

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    Publishing type:Research paper (scientific journal)  

    Phase-field (PF) simulations require data on physical properties and material parameters, which are largely unknown. Although data assimilation (DA) offers a way to estimate unknown material parameters and unobservable states through integration of simulation results and experimental data, conventional DA methods involve high computational costs and implementation difficulties. Therefore, in this study, we developed a new DA method: Data assimilation method Minimizing a four-dimensional Cost function using Bayesian optimization (DMC-BO). Using Bayesian optimization to minimize the data misfit between simulations and experiments leads to overcome the cost and implementation problems under conventional DA methods. To validate the accuracy and computational efficiency of the state and material parameter estimations obtained using DMC-BO, we applied the method to a PF model of highly nonlinear solid-state sintering, and we conducted numerical experiments called twin experiments. The twin experiments demonstrated that DMC-BO can yield highly accurate state estimation results and reasonably accurate material parameter estimation results, at less than half the computational cost of the conventional ensemble 4DVar DA method. Overall, the developed DMC-BO method is an advanced and powerful method whereby unobservable states and unknown material parameters can be obtained, which are essential for elucidating microstructural evolutions, with simplified PF model implementation and low computational costs.

    DOI: 10.1016/j.mtcomm.2021.103089

  • Novel estimation method for anisotropic grain boundary properties based on Bayesian data assimilation and phase-field simulation

    Eisuke Miyoshi, Munekazu Ohno, Yasushi Shibuta, Akinori Yamanaka, Tomohiro Takaki

    MATERIALS & DESIGN   210   2021.11( ISSN:0264-1275

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    Publishing type:Research paper (scientific journal)  

    Utilizing the data assimilation and multi-phase-field grain growth model, this study proposes a novel framework of measuring anisotropic (nonuniform) grain boundary energy and mobility. The framework can evaluate a large number of boundary properties from typical observations of grain growth without requiring specifically designed experiments or calculations. In this method, by optimizing the multiphase-field model parameters such that the simulation results are in good agreement with the observation data, the energies and mobilities of multiple individual boundaries are directly and simultaneously estimated. To validate the method, numerical tests on boundary property estimation were performed using synthetic microstructure dataset generated from grain growth simulations with a priori assumed property values. Systematic tests on simple tricrystal systems confirmed that the proposed method accurately estimates each boundary energy and mobility within an error of only several % of their assumed true values even for conditions with strong property anisotropy and grain rotation. Further numerical tests were conducted on a more general multi-grain system, showing that our method can be successfully applied to complicated polycrystalline grain growth. The obtained results demonstrate the potential of the proposed method in extracting a large dataset of grain boundary properties for arbitrary boundaries from actual grain growth observations. (C) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).

    DOI: 10.1016/j.matdes.2021.110089

  • Estimation of solid-state sintering and material parameters using phase-field modeling and ensemble four-dimensional variational method

    Akimitsu Ishii, Akinori Yamanaka, Eisuke Miyoshi, Yuki Okada, Akiyasu Yamamoto

    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING   29 ( 6 )   2021.09( ISSN:0965-0393

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    Publishing type:Research paper (scientific journal)  

    Sintering is a fundamental technology for powder metallurgy, the ceramics industry, and additive manufacturing processes such as three-dimensional printing. Improvement of the properties of sintered materials requires prediction of their microstructure using numerical simulations. However, the physical values and material parameters used for such predictions are generally unknown. Data assimilation (DA) enables the estimation of unobserved states and unknown material parameters by integrating simulation results and observational data. In this paper, we develop a new model that couples an ensemble-based four-dimensional variational (En4DVar) DA with a phase-field model of solid-state sintering (En4DVar-PF model) to estimate the state of the sintered material and multiple unknown material parameters. The developed En4DVar-PF model is validated by numerical experiments called twin experiments, in which a priori assumed-true initial state and multiple material parameters are estimated. The results of the twin experiments demonstrate that, using only three-dimensional morphological data of the sintered microstructure, our developed En4DVar-PF model can simultaneously and accurately estimate the particle shape, distribution of grain boundaries, and material parameters, including diffusion coefficients and mobilities related to grain boundary migration. Furthermore, our work identifies criteria for determining appropriate DA conditions such as the observational time interval required to accurately estimate the material parameters using our developed model. The developed En4DVar-PF model provides a promising framework to obtain unobservable states and difficult-to-measure material parameters in sintering, which is crucial for the accurate prediction of sintering processes and for the development of superior materials.

    DOI: 10.1088/1361-651X/ac13cd

  • Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility

    Eisuke Miyoshi, Tomohiro Takaki, Shinji Sakane, Munekazu Ohno, Yasushi Shibuta, Takayuki Aoki

    COMPUTATIONAL MATERIALS SCIENCE   186   2021.01( ISSN:0927-0256

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    Publishing type:Research paper (scientific journal)  

    Three-dimensional grain growth behaviors under anisotropic (misorientation-dependent) grain boundary energy and mobility are investigated via phase-field simulations. Based on a multi-phase-field model and parallel graphics-processing unit computing on a supercomputer, very large-scale simulations with more than three million grains are achieved, enabling reliable statistical evaluation of anisotropic grain growth. The anisotropic boundary properties are introduced by the classical Read-Shockley and sigmoidal models; the threshold misorientation angle, Delta theta(h), included in these models is used as a quantity to determine the anisotropy strength of the system. Systematic simulations are performed for different Delta theta(h) values, through which the correlations between the anisotropy strength and grain growth characteristics such as grain size and misorientation distributions are examined. The obtained results show that anisotropic grain growth reaches the steady-state regime irrespective of the Delta theta(h) value. However, the kinetics and microstructural morphology during the steady-state growth are largely dependent on Delta theta(h). Furthermore, by comparison with the simulated results, the applicability of analytical grain growth theories to anisotropic systems are tested. The tests reveal that the steady-state microstructure in anisotropic growth cannot be well captured by the existing theories, which is likely because the basic assumptions of the theories do not hold for anisotropic systems.

    DOI: 10.1016/j.commatsci.2020.109992

  • Accuracy Evaluation of Phase-field Models for Grain Growth Simulation with Anisotropic Grain Boundary Properties

    Miyoshi Eisuke, Takaki Tomohiro, Ohno Munekazu, Shibuta Yasushi

    ISIJ International   60 ( 1 )   160 - 167   2020.01( ISSN:09151559

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    Publishing type:Research paper (scientific journal)  

    <p>The phase-field method has been widely employed recently for simulating grain growth. Phase-field grain growth models are classified into two types according to their conservation constraints for phase-field variables: the multi-phase-field model and the continuum-field model. In addition, within the multi-phase-field model framework, three models with different formulations exist. These models are reported to accurately simulate grain growth under conditions of isotropic or weakly anisotropic grain boundary energy and mobility. However, for cases of strongly anisotropic grain boundary properties, the accuracy of these models has not yet been examined in detail. In this study, using the continuum-field model and three different multi-phase-field models, systematic grain growth simulations with anisotropic grain boundary energies and mobilities are performed. Through the detailed investigation of the accuracy of the simulated results, the suitability of each model for anisotropic grain growth simulations is revealed. Furthermore, based on the higher-order terms, accuracy improvement of the phase-field models is attempted.</p>

    DOI: 10.2355/isijinternational.isijint-2019-305

    CiNii Article

  • Large-scale phase-field simulation of three-dimensional isotropic grain growth in polycrystalline thin films

    Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta, Shinji Sakane, Takayuki Aoki

    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING   27 ( 5 )   2019.07( ISSN:0965-0393

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    Publishing type:Research paper (scientific journal)  

    In this study, assuming an ideal system free from thermal grooving and anisotropy in grain boundary properties, we analyze thin-film grain growth via three-dimensional (3D) phase-field simulations with approximately one million initial grains. The large-scale simulations accelerated by multiple graphics processing units allow for the reliable statistical investigation of grain growth behaviors in films with various thickness. Over the transition from 3D to two-dimensional (2D) growth modes, variations in the averages and distributions of grain sizes are quantified and compared for different regions of the films. Furthermore, we propose a comprehensive scaling law of thin-film grain growth, by which the 3D-2D transition behaviors and grain growth kinetics can be described in a unified manner independent of film thickness.

    DOI: 10.1088/1361-651X/ab1e8b

  • Micrometer-scale molecular dynamics simulation of microstructure formation linked with multi-phase-field simulation in same space scale

    Yasushi Shibuta, Shinji Sakane, Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno

    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING   27 ( 5 )   2019.07( ISSN:0965-0393

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    Publishing type:Research paper (scientific journal)  

    The micrometer-scale polycrystalline microstructure is directly obtained from a 10 billion atom molecular dynamics (MD) simulation of the nucleation and growth of crystals from an undercooled melt, which is performed on a graphics processing unit-rich supercomputer. The grain size distribution in the as-grown microstructure obtained from the MD simulation largely deviates from that resulting from steady-state growth in ideal grain growth, whereas the distribution of the disorientation angle between grains in contact with each other basically agrees with a random distribution. The atomistic configuration of the polycrystalline microstructure is then converted into a phase-field profile (diffuse interface description) of a phase-field model (PFM) and the subsequent grain growth is examined by multi-phase-field (MPF) simulation. A significant achievement in this study is direct mapping of the atomistic configuration into the phase-field profile used in the MPF simulation since only representative parameters for larger-scale model (e.g. interatomic potentials for MD and interfacial parameters for PFM) are extracted from a smaller-scale simulation in conventional multi-scale modeling. Our new achievement supported by high-performance supercomputing can be regarded as an evolution of multi-scale modeling, which we call inter-scale modeling to differentiate it from conventional multi-scale modeling.

    DOI: 10.1088/1361-651X/ab1d28

  • Correlation between three-dimensional and cross-sectional characteristics of ideal grain growth: large-scale phase-field simulation study

    Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta, Shinji Sakane, Takashi Shimokawabe, Takayuki Aoki

    JOURNAL OF MATERIALS SCIENCE   53 ( 21 )   15165 - 15180   2018.11( ISSN:0022-2461

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    Publishing type:Research paper (scientific journal)  

    Grain growth is one of the most fundamental phenomena affecting the microstructure of polycrystalline materials. In experimental studies, three-dimensional (3D) grain growth is usually investigated by examining two-dimensional (2D) cross sections. However, the extent to which the 3D microstructural characteristics can be obtained from cross-sectional observations remains unclear. Additionally, there is some disagreement as to whether a cross-sectional view of 3D grain growth can be fully approximated by 2D growth. In this study, by employing the multi-phase-field method and parallel graphics processing unit computing on a supercomputer, we perform large-scale simulations of 3D and 2D ideal grain growth with approximately three million initial grains. This computational scale supports the detailed comparison of 3D, cross-sectional, and 2D grain structures with good statistical reliability. Our simulations reveal that grain growth behavior in a cross section is very different from those in 3D and fully 2D spaces, in terms of the average and distribution of the grain sizes, as well as the growth kinetics of individual grains. On the other hand, we find that the average grain size in 3D can be estimated as being around 1.2 times that observed in a cross section, which is in good agreement with classical theory in the stereology. Furthermore, based on the Saltykov-Schwartz method, we propose a predictive model that can estimate the 3D grain size distribution from the cross-sectional size distribution.

    DOI: 10.1007/s10853-018-2680-y

  • Bridging molecular dynamics and phase-field methods for grain growth prediction

    Eisuke Miyoshi, Tomohiro Takaki, Yasushi Shibuta, Munekazu Ohno

    COMPUTATIONAL MATERIALS SCIENCE   152   118 - 124   2018.09( ISSN:0927-0256

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    Publishing type:Research paper (scientific journal)  

    To achieve a highly accurate and efficient prediction of polycrystalline grain growth, we propose a method to bridge atomistic and continuum-based simulations by converting molecular dynamics-generated atomic configurations into interfacial profiles of the phase-field model. This method enables us to perform phase-field grain growth simulations in succession to molecular dynamics nucleation simulation. Using the present method, molecular dynamics and phase-field grain growth simulations from the same initial structure are carried out and directly compared. The results of each simulation exhibit a similar tendency in terms of grain morphology and grain growth kinetics, but only after an initial short duration.

    DOI: 10.1016/j.commatsci.2018.05.046

  • Grain growth kinetics in submicrometer-scale molecular dynamics simulation

    Shin Okita, Eisuke Miyoshi, Shinji Sakane, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta

    ACTA MATERIALIA   153   108 - 116   2018.07( ISSN:1359-6454

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    Publishing type:Research paper (scientific journal)  

    Grain growth kinetics under the anisotropic grain boundary properties is investigated by large-scale and long-time molecular dynamics (MD) simulations of contentious processes of nucleation, solidification and grain growth in a submicrometer-scale system. Microstructures obtained via homogeneous nucleation from undercooled melt iron consists of approximately 1500 grains and the number of grains decreases to one tenth of the number via the grain growth process. The grain growth exponent obtained from the MD simulation deviates from the ideal value since anisotropic effects in the grain boundary properties are inherently included in MD simulations. It is confirmed that the decrease of the reduced mobility (i.e., the product of the intrinsic grain boundary mobility and the grain boundary energy) is a dominant factor for the deviation from the ideal grain growth. The deviation from the Mackenzie function for the distribution of the disorientation angle between neighboring grains implies that the preferential selection of grain boundaries with small grain boundary energies occurs during the grain growth. This enhances the anisotropy in grain boundary properties and therefore decreases the reduced mobility of the grain boundary. Moreover, a multi-phase-field simulation starting from a MD configuration results in an ideal grain growth when a constant value of the reduced mobility is employed, which validates the discussion on the reduced mobility. The new insight in this study is achieved for the first time owing to a multi-graphics processing unit (GPU) parallel computation over 50 days for one case using 128 GPUs on the GPU-rich supercomputer. (C) 2018 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.actamat.2018.04.060

  • Multi-phase-field study of the effects of anisotropic grain-boundary properties on polycrystalline grain growth

    Eisuke Miyoshi, Tomohiro Takaki

    JOURNAL OF CRYSTAL GROWTH   474   160 - 165   2017.09( ISSN:0022-0248

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    Publishing type:Research paper (scientific journal)  

    Numerical studies of the effects of anisotropic (misorientation-dependent) grain-boundary energy and mobility on polycrystalline grain growth have been carried out for decades. However, conclusive knowledge has yet to be obtained even for the simplest two-dimensional case, which is mainly due to limitations in the computational accuracy of the grain-growth models and computer resources that have been employed to date. Our study attempts to address these problems by utilizing a higher-order multi-phase-field (MPF) model, which was developed to accurately simulate grain growth with anisotropic grain-boundary properties. In addition, we also employ general-purpose computing on graphics processing units to accelerate MPF grain-growth simulations. Through a series of simulations of anisotropic grain growth, we succeeded in confirming that both the anisotropies in grain-boundary energy and mobility affect the morphology formed during grain growth. On the other hand, we found the grain growth kinetics in anisotropic systems to follow parabolic law similar to isotropic growth, but only after an initial transient period.

    DOI: 10.1016/j.jcrysgro.2016.11.097

  • Ultra-large-scale phase-field simulation study of ideal grain growth

    Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta, Shinji Sakane, Takashi Shimokawabe, Takayuki Aoki

    NPJ COMPUTATIONAL MATERIALS   3   2017.07

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    Publishing type:Research paper (scientific journal)  

    Grain growth, a competitive growth of crystal grains accompanied by curvature-driven boundary migration, is one of the most fundamental phenomena in the context of metallurgy and other scientific disciplines. However, the true picture of grain growth is still controversial, even for the simplest (or 'ideal') case. This problem can be addressed only by large-scale numerical simulation. Here, we analyze ideal grain growth via ultra-large-scale phase-field simulations on a supercomputer for elucidating the corresponding authentic statistical behaviors. The performed simulations are more than ten times larger in time and space than the ones previously considered as the largest; this computational scale gives a strong indication of the achievement of true steady-state growth with statistically sufficient number of grains. Moreover, we provide a comprehensive theoretical description of ideal grain growth behaviors correctly quantified by the present simulations. Our findings provide conclusive knowledge on ideal grain growth, establishing a platform for studying more realistic growth processes.

    DOI: 10.1038/s41524-017-0029-8

  • Heterogeneity in homogeneous nucleation from billion-atom molecular dynamics simulation of solidification of pure metal

    Yasushi Shibuta, Shinji Sakane, Eisuke Miyoshi, Shin Okita, Tomohiro Takaki, Munekazu Ohno

    NATURE COMMUNICATIONS   8   2017.04( ISSN:2041-1723

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    Publishing type:Research paper (scientific journal)  

    Can completely homogeneous nucleation occur? Large scale molecular dynamics simulations performed on a graphics-processing-unit rich supercomputer can shed light on this long-standing issue. Here, a billion-atom molecular dynamics simulation of homogeneous nucleation from an undercooled iron melt reveals that some satellite-like small grains surrounding previously formed large grains exist in the middle of the nucleation process, which are not distributed uniformly. At the same time, grains with a twin boundary are formed by heterogeneous nucleation from the surface of the previously formed grains. The local heterogeneity in the distribution of grains is caused by the local accumulation of the icosahedral structure in the undercooled melt near the previously formed grains. This insight is mainly attributable to the multi-graphics processing unit parallel computation combined with the rapid progress in high-performance computational environments.

    DOI: 10.1038/s41467-017-00017-5

  • Extended higher-order multi-phase-field model for three-dimensional anisotropic-grain-growth simulations

    Eisuke Miyoshi, Tomohiro Takaki

    COMPUTATIONAL MATERIALS SCIENCE   120   77 - 83   2016.07( ISSN:0927-0256

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    Publishing type:Research paper (scientific journal)  

    Based on the multi-phase-field (MPF) model reported by Steinbach et al., we constructed a higher-order MPF model in a previous study that contains a higher-order term and an additional kinetic parameter to represent the properties of triple junctions (TJs); this model was observed to be suitable for the simulation of 2D grain growth with anisotropic grain-boundary (GB) energy and mobility, which are strongly dependent on the misorientation angle (Delta theta). In the current study, we attempt to improve the accuracy of 3D MPF simulations of anisotropic grain growth by extending this higher-order MPF model such that it accounts for the properties of quadruple junctions as well as those of TJs. In addition, using the extended higher-order MPF model, a series of grain-growth simulations are performed for a 3D columnar structure while considering the anisotropic GB properties, through which the accuracy of the model is examined in detail. The results confirm that the extended higher-order MPF model enables the anisotropic GB properties to be handled accurately for wider-ranging Delta theta than in previous models. (C) 2016 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.commatsci.2016.04.014

  • Validation of a novel higher-order multi-phase-field model for grain-growth simulations using anisotropic grain-boundary properties

    Eisuke Miyoshi, Tomohiro Takaki

    COMPUTATIONAL MATERIALS SCIENCE   112   44 - 51   2016.02( ISSN:0927-0256

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    Publishing type:Research paper (scientific journal)  

    The multi-phase-field (MPF) model proposed by Steinbach et al. has several advantages when it comes to numerically simulating the grain growth, recrystallization, and multiple phase transitions. In this study, in order to improve the accuracy of MPF simulations using the anisotropic grain-boundary energy and mobility, which depend strongly on the misorientation angles, we account for the triple-junction properties in the MPF model. Further, two-dimensional simulations of grain-boundary migrations in three-grain systems as well as simulations of abnormal grain growth in a polycrystalline system are performed using the proposed model, in order to confirm its validity. The results show that the proposed model allows for the introduction of the anisotropic energy and mobility with high accuracy for a wider range of misorientations, in contrast to the conventional model. (C) 2015 Elsevier B.V. All rights reserved.

    DOI: 10.1016/j.commatsci.2015.10.010

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Books and Other Publications

Presentations

  • データ駆動型フェーズフィールド法シミュレーションによる粒界特性の逆問題解析 Invited Domestic conference

    三好英輔

    公財)科学技術交流財団 第1回デジタルツイン多結晶創成研究会  2023.12 

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    Presentation type:Oral presentation (invited, special)  

  • Elastic properties of additively manufactured biomedical Ti alloys Invited International conference

    M. Tane, S. Higashino, D. Miyashita, E. Miyoshi, T. Ishimoto, T. Nakano

    11th Pacific Rim International Conference on Advanced Materials and Processing (PRICM11)  2023.11 

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    Presentation type:Oral presentation (keynote)  

    Venue:Jeju, Korea  

  • マルチフェーズフィールド法により構築したナノ多結晶構造のフォノン輸送解析 Domestic conference

    安田直生, 苫米地陸, 三好英輔, 堀琢磨

    第14回マイクロ・ナノ工学シンポジウム  2023.11 

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    Presentation type:Oral presentation (general)  

  • 低温域におけるβ型Ti-Nb基合金のヤング率および内部摩擦の温度依存性 Domestic conference

    平松巧, 東野昭太, 三好英輔, 多根正和

    日本機械学会M&M2023材料力学カンファレンス  2023.09 

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    Presentation type:Oral presentation (general)  

  • 積層造形法によって作製されたTi-15Mo-5Zr-3Al合金の弾性特性 Domestic conference

    宮下大輔, 東野昭太, 三好英輔, 石本卓也, 中野貴由, 多根正和

    日本機械学会M&M2023材料力学カンファレンス  2023.09 

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  • β型Ti-V基合金へのAlおよびO添加がヤング率および内部摩擦の温度依存性に与える影響 Domestic conference

    三鼓尋斗, 東野昭太, 三好英輔, 多根正和

    日本機械学会M&M2023材料力学カンファレンス  2023.09 

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    Presentation type:Oral presentation (general)  

  • Evaluation of inclination-dependent grain boundary properties via data assimilation for molecular dynamics and phase-field simulations International conference

    T. Fujiwara, E. Miyoshi, A. Yamanaka

    17th European Congress and Exhibition on Advanced Materials and Processes (FEMS EUROMAT2023)  2023.09 

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    Presentation type:Oral presentation (general)  

    Venue:Frankfurt am Main, Germany  

  • Thermal conductivity evaluation for physically-based polycrystalline nanostructures using phase-field and phonon transport simulations International conference

    E. Miyoshi, T. Hori, N. Yasuda

    17th European Congress and Exhibition on Advanced Materials and Processes (FEMS EUROMAT2023)  2023.09 

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    Presentation type:Oral presentation (general)  

    Venue:Frankfurt am Main, Germany  

  • Inverse analysis of grain boundary properties based on Bayesian data assimilation and phase-field simulation" Invited International conference

    JSME-KSME Joint Symposium on Computational Mechanics & CAE 2023  2023.08 

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    Presentation type:Oral presentation (invited, special)  

    Venue:Seoul, Korea  

  • フェーズフィールド法によって構築したナノ多結晶構造中のフォノン輸送解析 Domestic conference

    堀琢磨, 三好英輔, 安田直生

    第28回計算工学講演会  2023.05 

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    Presentation type:Oral presentation (general)  

  • 分子動力学法とフェーズフィールド法のデータ同化による粒界特性の面方位依存性の評価 Domestic conference

    藤原倫男, 三好英輔, 山中晃徳

    第28回計算工学講演会  2023.05 

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    Presentation type:Oral presentation (general)  

  • 局所アンサンブル変換カルマンフィルタを用いた強制対流下における三元合金凝固の三次元フェーズフィールドシミュレーション Domestic conference

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    第28回計算工学講演会  2023.05 

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    Presentation type:Oral presentation (general)  

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Charge of on-campus class subject

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    2024   Weekly class   Undergraduate

  • 機械製図演習

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  • 材料強度学

    2024   Weekly class   Undergraduate

  • 機械工学概論

    2024   Weekly class   Undergraduate

  • エネルギー機械演習

    2024   Weekly class   Undergraduate

  • 機械基礎実験

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