# Data-driven optimization of laser scanning conditions in laser powder bed fusion for defect-free IN738LC components

https://mdr.nims.go.jp/datasets/c7dd5d2b-9b0e-450c-be1e-20ececd5fcfb

## File

- [1-s2.0-S1526612525007996-main.pdf](https://mdr.nims.go.jp/filesets/343ba16a-bcda-43ac-9ccf-414467ca2984/download) ([Detail](https://mdr.nims.go.jp/filesets/343ba16a-bcda-43ac-9ccf-414467ca2984.md))

## Id

c7dd5d2b-9b0e-450c-be1e-20ececd5fcfb

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-07-23T23:46:39.953821Z

## Updated at

2025-07-24T03:30:19.935279Z

## Published at

2025-07-24T03:19:33.366206Z

## Doi



## First published url

https://doi.org/10.1016/j.jmapro.2025.07.023

## Date published

2025-07-18

## Recorded date published

2025-10

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Data-driven optimization of laser scanning conditions in laser powder bed
    fusion for defect-free IN738LC components
  title_type: original
  lang: en

## Description

- description: "Manufacturing defect-free superalloy components using laser powder
    bed fusion (L-\r\nPBF) remains a challenging and urgent issue due to the high
    susceptibility of the\r\nprocess to microcracking. While previous studies have
    investigated how individual\r\nlaser scanning parameters influence microcracking
    behavior in superalloy components,\r\na comprehensive process window for crack
    density has yet to be developed. Moreover,\r\nthe relationship between laser scanning
    conditions and crack density is often treated\r\nas a black-box model, without
    explicitly considering the underlying fundamental\r\nmechanisms. Thus, the purpose
    of this study is twofold: first, to establish a\r\ncomprehensive process window
    for crack density in order to fabricate defect-free\r\nIN738LC components by L-PBF;
    and second, to elucidate the fundamental\r\nmechanisms linking laser scanning
    conditions to solidification cracking through\r\nempirical causal analysis based
    on microstructural features. To this end, more than\r\n100 sets of laser scanning
    conditions were investigated, and the optimal conditions\r\nwere found to minimize
    the defect ratio and crack density to less than 0.060% and\r\n0.005 mm-1, respectively.
    The suitability was further validated by fabricating turbine-\r\nblade shaped
    parts without internal defects. Then, microstructural features for all\r\nsamples
    were extracted using electron backscatter diffraction, and the resulting\r\ndataset
    was used to develop regression models for predicting crack density. The\r\nmultiple
    linear regression and support vector regression models revealed that two\r\ncommon
    key microstructural features—grain refinement and the alignment of <001> to\r\nthe
    building direction—play a primary role in suppressing microcracking. On the other\r\nhand,
    the findings also imply that incorporating additional metallurgical and mechanical\r\nfeatures
    may be essential for enhancing the predictive performance."
  description_type: abstract
  lang: und

## Creator

- name: Masahiro Kusano
  role: author
  orcid: https://orcid.org/0000-0002-5061-0195
  organization: National Institute for Materials Science
- name: Toshio Osada
  role: author
  orcid: https://orcid.org/0000-0003-1539-9264
  organization: National Institute for Materials Science
- name: Makoto Watanabe
  role: author
  orcid: https://orcid.org/0000-0002-5064-9583
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Laser powder bed fusion
  schema: not_defined
- subject: Inconel 738 LC
  schema: not_defined
- subject: Solidification cracking
  schema: not_defined
- subject: Electron backscatter diffraction
  schema: not_defined
- subject: Causal analysis
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: JOURNAL OF MANUFACTURING PROCESSES
  issn: '15266125'
  volume: '151'
  start_page: 354
  end_page: 371

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## Measurement method



## Specimen



## Chemical composition



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## Structural feature for specimen



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## Fileset

- id: 343ba16a-bcda-43ac-9ccf-414467ca2984
  filename: 1-s2.0-S1526612525007996-main.pdf
  content_type: application/pdf
  size: 26965706
  md5: d1e9cb7c07562fb78e155584c630b9d4

## Thumbnail

fileset_id: 343ba16a-bcda-43ac-9ccf-414467ca2984
filename: 1-s2.0-S1526612525007996-main.pdf