Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.

Jatti VS, Saiyathibrahim A, Yadav A, R MK, Jayaprakash B, Kaushal S, Jatti VS, Jatti AV, Jatti SV, Kumar A, Gouadria S, Bonyah E

Open source

DOI: 10.1371/journal.pone.0324049
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0324049,
  title = {Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.},
  author = {Jatti VS and Saiyathibrahim A and Yadav A and R MK and Jayaprakash B and Kaushal S and Jatti VS and Jatti AV and Jatti SV and Kumar A and Gouadria S and Bonyah E},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0324049},
  url = {https://doi.org/10.1371/journal.pone.0324049}
}

RIS

TY  - JOUR
TI  - Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.
AU  - Jatti VS
AU  - Saiyathibrahim A
AU  - Yadav A
AU  - R MK
AU  - Jayaprakash B
AU  - Kaushal S
AU  - Jatti VS
AU  - Jatti AV
AU  - Jatti SV
AU  - Kumar A
AU  - Gouadria S
AU  - Bonyah E
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0324049
UR  - https://doi.org/10.1371/journal.pone.0324049
ER  -

APA

VS, J., A, S., A, Y., MK, R., B, J., S, K., VS, J., AV, J., SV, J., A, K., S, G., & E, B. (2025). Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.. PloS one. https://doi.org/10.1371/journal.pone.0324049

Source records

pubmed · retrieved 2026-09-27T09:39:57.510Z