# Ni基超合金におけるプロセス-構造-特性データセットの自動・高速評価

https://mdr.nims.go.jp/datasets/f81b87eb-42a5-49ed-b202-4815ac474cae

## File

- [MM2025_NIMS長田.docx](https://mdr.nims.go.jp/filesets/67bd2b20-8ba7-4eb3-ac80-bc8a1042675a/download) ([Detail](https://mdr.nims.go.jp/filesets/67bd2b20-8ba7-4eb3-ac80-bc8a1042675a.md))

## Id

f81b87eb-42a5-49ed-b202-4815ac474cae

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-07-09T02:54:33.200215Z

## Updated at

2026-07-15T01:59:25.333824Z

## Published at

2026-07-15T03:37:19.880266Z

## Doi

https://doi.org/10.48505/nims.6409

## First published url

https://doi.org/10.1299/jsmemm.2025.OS0212

## Date published

2026-06-24

## Recorded date published

2025

## Resource type

journal_article

## Manuscript type

authors_original

## Collection



## Title

- title: Ni基超合金におけるプロセス-構造-特性データセットの自動・高速評価
  title_type: original
  lang: ja
- title: Automated and high-throughput evaluation system of process-structure-property
    dataset for Ni-base superalloy
  title_type: alternative
  lang: en

## Description

- description: Superalloys used in aircraft engines applications are composed of numerous
    elements and complex hieratical microstructures, requiring a large amount of high-quality
    process-structure-property dataset for optimizing their structure and processing.
    Recent advances of computational simulation will be helpful for optimization of
    alloy structure, designing new superalloys to meet a given set of material properties
    without experimental trial and error is still unfeasible. Here, we proposed a
    novel automated high-throughput method capable of　gathering 2400 data points relating
    processing conditions, microstructure geometry and yield strength in 13 days.
    An estimated 200 times faster than conventional methods using tensile testing
    specimens, a complete Process-Structure-Property (P-S-P) dataset is created from
    a single sample. The method to rapidly assemble comprehensive and consistent P-S-P
    datasets can facilitate efficient alloy design.
  description_type: abstract
  lang: jpn

## Creator

- name: 長田 俊郎
  role: author
  orcid: https://orcid.org/0000-0003-1539-9264
  organization: 物質・材料研究機構
  department: 構造材料研究センター/材料創製分野/高信頼性耐熱材料グループ
- name: Hoefler Thomas
  role: author
  orcid: https://orcid.org/0000-0003-0650-179X
  organization: 物質・材料研究機構
  department: 構造材料研究センター/材料創製分野/高信頼性耐熱材料グループ
- name: 池田 亜矢子
  role: author
  orcid: https://orcid.org/0000-0002-1705-9004
  organization: 物質・材料研究機構
  department: 構造材料研究センター/材料創製分野/超耐熱材料グループ
- name: 原 徹
  role: author
  orcid: https://orcid.org/0000-0002-9715-6444
  organization: 物質・材料研究機構
  department: 構造材料研究センター
- name: 川岸 京子
  role: author
  orcid: https://orcid.org/0000-0001-7652-9232
  organization: 物質・材料研究機構
  department: 構造材料研究センター/材料創製分野/超耐熱材料グループ
- name: 大村 孝仁
  role: author
  orcid: https://orcid.org/0000-0001-7528-566X
  organization: 物質・材料研究機構
  department: 構造材料研究センター

## Contact agent



## Publisher

organization: Japan Society of Mechanical Engineers

## Managing organization



## Keyword

- subject: 超合金
  schema: not_defined
- subject: ハイスループット評価
  schema: not_defined
- subject: ナノインデンテーション
  schema: not_defined

## Rights

- identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: M&M材料力学カンファレンス
  issn: '24242845'
  volume: '2025'

## Conference



## Related item



## Funding



## 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: 67bd2b20-8ba7-4eb3-ac80-bc8a1042675a
  filename: MM2025_NIMS長田.docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 7145987
  md5: 288f6057fb4a93e3ca15feed1c5e176f

## Thumbnail

fileset_id: 67bd2b20-8ba7-4eb3-ac80-bc8a1042675a
filename: MM2025_NIMS長田.docx