# Comparative study of the experimentally observed and GAN-generated 3D microstructures in dual-phase steels

https://mdr.nims.go.jp/datasets/46a5da59-9345-40eb-b939-4d093bd64a88

## File

- [watanabe_stam2024.pdf](https://mdr.nims.go.jp/filesets/ef58ff04-ac24-4ed2-8348-7eeb364f772c/download) ([Detail](https://mdr.nims.go.jp/filesets/ef58ff04-ac24-4ed2-8348-7eeb364f772c.md))

## Id

46a5da59-9345-40eb-b939-4d093bd64a88

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-08-22T04:51:05.512667Z

## Updated at

2024-09-20T03:30:25.715129Z

## Published at

2024-09-20T03:30:25.802171Z

## Doi



## First published url

https://doi.org/10.1080/14686996.2024.2388501

## Date published

2024-12-31

## Recorded date published

2024-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Comparative study of the experimentally observed and GAN-generated 3D microstructures
    in dual-phase steels
  title_type: original
  lang: en

## Description

- description: 'In a deep-learning-based algorithm, generative adversarial networks
    can generate images similar to an input. Using this algorithm, an artificial three-dimensional
    (3D) microstructure can be reproduced from two-dimensional images. Although the
    generated 3D microstructure has a similar appearance, its reproducibility should
    be examined for practical applications. This study used an automated serial sectioning
    technique to compare the 3D microstructures of two dual-phase steels generated
    from three orthogonal surface images with their corresponding observed 3D microstructures.
    The mechanical behaviors were examined using the finite element analysis method
    for the representative volume element, in which finite element models of microstructures
    were directly constructed from the 3D voxel data using a voxel coarsening approach.
    The macroscopic material responses of the generated microstructures captured the
    anisotropy caused by the microscopic morphology. However, these responses did
    not quantitatively align with those of the observed microstructures owing to inaccuracies
    in reproducing the volume fraction of the ferrite/martensite phase. Additionally,
    the generation algorithm struggled to replicate the microscopic morphology, particularly
    in cases with a low volume fraction of the martensite phase where the martensite
    connectivity was not discernible from the input images. The results demonstrate
    the limitations of the generation algorithm and necessity for 3D observations. '
  description_type: abstract
  lang: und

## Creator

- name: Ikumu Watanabe
  role: author
  orcid: https://orcid.org/0000-0002-7693-1675
- name: Keiya Sugiura
  role: author
- name: Ta-Te Chen
  role: author
  orcid: https://orcid.org/0000-0002-0553-4736
- name: Toshio Ogawa
  role: author
  orcid: https://orcid.org/0000-0001-8541-9932
- name: Yoshitaka Adachi
  role: author
  orcid: https://orcid.org/0000-0002-2190-1399

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: 3D microstructure generation
  schema: not_defined
- subject: image-based finite element analysis
  schema: not_defined
- subject: multiscale modeling
  schema: not_defined
- subject: anisotropy
  schema: not_defined
- subject: dual-phase steels
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc/4.0/

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## Data origin



## Embargo



## Journal

- title: Science and Technology of Advanced Materials
  issn: '14686996'
  volume: '25'
  issue: '1'

## Conference



## Related item



## Funding

- identifier: 21H01220
  funder_name: JSPS

## Instrument



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## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



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## Fileset

- id: ef58ff04-ac24-4ed2-8348-7eeb364f772c
  filename: watanabe_stam2024.pdf
  content_type: application/pdf
  size: 12519416
  md5: 43840690474b3e4d9a52b7954cfbbd22

## Thumbnail

fileset_id: ef58ff04-ac24-4ed2-8348-7eeb364f772c
filename: watanabe_stam2024.pdf