# Search for high-creep-strength welding conditions considering HAZ shape factors for 2 1/4Cr–1Mo steel

https://mdr.nims.go.jp/datasets/b807e1b1-ffd2-496d-a28c-1fd582910f27

## File

- [Search_for_high-creep-strength_HAZ_shape_factors_for_repository_最終稿.docx](https://mdr.nims.go.jp/filesets/aad004b8-3681-422b-957b-fff8eaebf56f/download) ([Detail](https://mdr.nims.go.jp/filesets/aad004b8-3681-422b-957b-fff8eaebf56f.md))

## Id

b807e1b1-ffd2-496d-a28c-1fd582910f27

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-08-23T01:48:06.972761Z

## Updated at

2025-03-26T08:26:11.012903Z

## Published at

2025-03-26T08:26:15.196977Z

## Doi

https://doi.org/10.48505/nims.4699

## First published url

https://doi.org/10.1007/s40194-024-01727-3

## Date published

2024-03-16

## Recorded date published

2024-5

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Search for high-creep-strength welding conditions considering HAZ shape factors
    for 2 1/4Cr–1Mo steel
  title_type: original
  lang: en

## Description

- description: The creep rupture life of ferritic heat-resistant steel weld joints
    is limited by Type IV cracking that occurs in the heat-affected zone (HAZ), whose
    shape affects creep damage accumulation. In this study, we address the inverse
    problem of extending the creep rupture life of weld joints by controlling HAZ
    shape via welding conditions. As reported separately, we have developed a workflow
    that predicts weld joint creep rupture life from the predicted HAZ shape from
    welding conditions and have implemented it in the material design system. Using
    this workflow, we presented a tandem Bayesian model for predicting the creep rupture
    life from welding conditions via the geometric features of HAZ shapes (HAZ shape
    factors), which are considered to determine the creep rupture life. The prediction
    model of a HAZ shape factor from welding conditions was formed by Gaussian process
    regression. The prediction model of the creep rupture life was formed by Bayesian
    linear regression. These models were probabilistically connected by Bayesian statistical
    mathematics. An algorithm to increase the creep rupture life was developed to
    search for welding conditions. This method was applied to a 2 1/4Cr-1Mo heat-resistant
    steel weld joint simulated with a plate I-bevel three-layer gas tungsten arc welding.
    The number of welding conditions combination reaches 7 8 = 5764801. Start from
    49 initial HAZ shape factors and 22 creep rupture life data, we performed forward
    calculations of 20 rupture lives to find welding conditions that can improve the
    creep rupture life by 12% over the initial data.
  description_type: abstract
  lang: und

## Creator

- name: Hitoshi Izuno
  role: author
  orcid: https://orcid.org/0000-0003-0503-3621
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Masahiko Demura
  role: author
  orcid: https://orcid.org/0000-0002-7308-3041
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Masayoshi Yamazaki
  role: author
  orcid: https://orcid.org/0000-0003-1051-4892
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Satoshi Minamoto
  role: author
  orcid: https://orcid.org/0000-0003-4023-5800
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Junya Sakurai
  role: author
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Kenji Nagata
  role: author
  orcid: https://orcid.org/0000-0001-9894-4461
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Yoh-ichi Mototake
  role: author
- name: Daisuke Abe
  role: author
- name: Keisuke Torigata
  role: author

## Contact agent



## Publisher

organization: Springer Science and Business Media LLC

## Managing organization



## Keyword

- subject: Heat-resistant steel
  schema: not_defined
- subject: Heat-affected zone
  schema: not_defined
- subject: Weld joint
  schema: not_defined
- subject: Creep property
  schema: not_defined
- subject: Bayesian inference
  schema: not_defined
- subject: Inverse problem
  schema: not_defined
- subject: 21/4Cr1–Mo steel
  schema: not_defined

## Rights

- description: 'This version of the article has been accepted for publication, after
    peer review (when applicable) and is subject to Springer Nature’s AM terms of
    use, but is not the Version of Record and does not reflect post-acceptance improvements,
    or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s40194-024-01727-3'
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-03-16
end_date: 2025-03-16

## Journal

- title: Welding in the World
  issn: '00432288'
  volume: '68'
  start_page: 1313
  end_page: 1332

## Conference



## Related item



## Funding

- identifier: JPMXP1122684766
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: SIP1
  funder_name: Council for Science, Technology and Innovation

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## Fileset

- id: aad004b8-3681-422b-957b-fff8eaebf56f
  filename: Search_for_high-creep-strength_HAZ_shape_factors_for_repository_最終稿.docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 3152490
  md5: 7abff0e9ba51c12ffe119db71a633ecb

## Thumbnail

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filename: Search_for_high-creep-strength_HAZ_shape_factors_for_repository_最終稿.docx