# Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy

https://mdr.nims.go.jp/datasets/6834402a-697c-4196-b21d-9b5ff6f66ce1

## File

- [1-s2.0-S026412752601395X-main.pdf](https://mdr.nims.go.jp/filesets/3544ca39-faf0-4d88-823b-0bf452e1eaa3/download) ([Detail](https://mdr.nims.go.jp/filesets/3544ca39-faf0-4d88-823b-0bf452e1eaa3.md))

## Id

6834402a-697c-4196-b21d-9b5ff6f66ce1

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-09-07T01:06:16.464465Z

## Updated at

2026-09-08T00:41:42.354625Z

## Published at

2026-09-08T03:25:59.877661Z

## Doi



## First published url

https://doi.org/10.1016/j.matdes.2026.116820

## Date published

2026-08-18

## Recorded date published

2026-10

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Automated high-throughput data collection and analysis of composition-process-structure
    relations by utilizing casting segregation in a Ni-base superalloy
  title_type: original
  lang: en

## Description

- description: We attempt to address the problem of generating large, reliable experimental
    datasets that interrelate composition, processing and microstructure in a short
    timeframe by combining a heterogeneously composed sample with a gradient heat
    treatment. Composition-Process-Structure datasets are essential for both physical
    and purely statistical models aiming to predict material behavior. Using the segregated
    microstructure of a cast single-crystal sample of gas turbine blade Ni-base superalloy
    MGA1400 in combination with a temperature gradient furnace, we cover a whole range
    of heat treatment temperatures and compositions according to elemental partitioning.
    Data collection uses automatic, correlative FE-SEM and EPMA analysis for microstructure
    images with corresponding local concentration. Image analysis combined with a
    precipitate shape fitting method using superellipses allows automatic evaluation
    of phase fractions, precipitate size/shape/aspect distributions as well as inter-precipitate
    distances and relative angles for investigating clustering and alignment phenomena.
    As a result, we were able to generate a pseudobinary phase diagram indicating
    the γ′solvus. The activation energy for coarsening of γ′was found to be mostly
    independent of as-segregated composition. Further, results showed lattice misfit
    between the γ and γ′phase to not only cause precipitate shape to vary with treatment
    temperature, but also cause precipitate aspect ratio to vary between the dendrite
    core and interdendrite regions, indicating the presence of dendritic stresses
    from solidification.
  description_type: abstract
  lang: eng

## Creator

- name: Thomas Hoefler
  role: author
  orcid: https://orcid.org/0000-0003-0650-179X
  organization: National Institute for Materials Science
- name: Ayako Ikeda
  role: author
  orcid: https://orcid.org/0000-0002-1705-9004
  organization: National Institute for Materials Science
- name: Satoshi Utada
  role: author
  orcid: https://orcid.org/0000-0001-6783-9968
  organization: National Institute for Materials Science
- name: Makoto Osawa
  role: author
  organization: National Institute for Materials Science
- name: Kyoko Kawagishi
  role: author
  orcid: https://orcid.org/0000-0001-7652-9232
  organization: National Institute for Materials Science
- name: Toru Hara
  role: author
  orcid: https://orcid.org/0000-0002-9715-6444
  organization: National Institute for Materials Science
- name: Takahito Ohmura
  role: author
  orcid: https://orcid.org/0000-0001-7528-566X
  organization: National Institute for Materials Science
- name: Daichi Akama
  role: author
- name: Masaki Taneike
  role: author
- name: Toshio Osada
  role: author
  orcid: https://orcid.org/0000-0003-1539-9264
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: high-throughput method
  schema: not_defined
- subject: Image analysis
  schema: not_defined
- subject: Superalloy
  schema: not_defined
- subject: Aging heat treatment
  schema: not_defined
- subject: Casting segregation
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: MATERIALS & DESIGN
  issn: '02641275'
  volume: '270'
  article_number: '116820'

## Conference



## Related item



## Funding

- identifier: JP24K08022
  funder_name: Japan Society for the Promotion of Science

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 3544ca39-faf0-4d88-823b-0bf452e1eaa3
  filename: 1-s2.0-S026412752601395X-main.pdf
  content_type: application/pdf
  size: 18222237
  md5: 8e029212db2a98d47ecf7b1d86d1b818

## Thumbnail

fileset_id: 3544ca39-faf0-4d88-823b-0bf452e1eaa3
filename: 1-s2.0-S026412752601395X-main.pdf