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Akinori Yamanaka

Researcher at Tokyo University of Agriculture and Technology

Publications -  113
Citations -  1713

Akinori Yamanaka is an academic researcher from Tokyo University of Agriculture and Technology. The author has contributed to research in topics: Microstructure & Finite element method. The author has an hindex of 18, co-authored 97 publications receiving 1316 citations. Previous affiliations of Akinori Yamanaka include Dr Emilio B Espinosa Sr Memorial State College of Agriculture and Technology & Kobe University.

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Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer

TL;DR: In this article, the phase-field simulation is used to simulate the micro-scale dendritic growth during solidification in a binary alloy, achieving 1.017 PFlops in single precision for the largest configuration using 4,000 GPUs along with 16,000 CPU cores.
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Multi-phase-field simulations for dynamic recrystallization

TL;DR: In this article, a dynamic recrystallization multi-phase field (MPF-DRX) model that can approximately take into account grain deformation during DRX has been developed, where the deformation was introduced by changing the size of a finite difference grid so as to keep the volume constant.
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Elastoplastic phase-field simulation of self- and plastic accommodations in Cubic→tetragonal martensitic transformation

TL;DR: In this article, an elastoplastic phase-field (PF) model was proposed to study the effects of self and plastic accommodations on the evolution of a stress-accommodating martensitic structure and elastic strain energy minimization.
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Unexpected selection of growing dendrites by very-large-scale phase-field simulation

TL;DR: In this paper, the survival of unfavorably oriented dendrites and highly complicated dendrite-dendrite interactions in three-dimensional space during the directional solidification of a binary alloy were observed for the first time through very large-scale phase-field computations performed by a graphics processing unit (GPU) supercomputer and a high-performance algorithm developed for parallel computing.
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Multi-Phase-Field Model to Simulate Microstructure Evolutions during Dynamic Recrystallization

TL;DR: In this article, a numerical model to simulate microstructure evolution and macroscopic mechanical behavior during hot working was developed, which employed a multi-phase field model and the Kocks-Meching model to calculate the evolution of dislocation density due to plastic deformation and dynamic recovery.