Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning.

Asnaashari S, Yousefi S, Nikolova MP.

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DOI: 10.1038/s41598-026-58664-y
Published: 2026-06-23
Container: Sci Rep
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58664-y,
  title = {Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning.},
  author = {Asnaashari S and  Yousefi S and  Nikolova MP.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-58664-y},
  url = {https://doi.org/10.1038/s41598-026-58664-y}
}

RIS

TY  - JOUR
TI  - Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning.
AU  - Asnaashari S
AU  -  Yousefi S
AU  -  Nikolova MP.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-58664-y
UR  - https://doi.org/10.1038/s41598-026-58664-y
ER  -

APA

S, A., S, Y., & MP., N. (2026). Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning.. Sci Rep. https://doi.org/10.1038/s41598-026-58664-y

Source records

europe-pmc · retrieved 2026-09-25T18:53:49.016Z
doaj · retrieved 2026-09-25T18:53:49.018Z