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Effects of process parameters on the surface characteristics of laser powder bed fusion printed parts: machine learning predictions with random forest and support vector regression

Crossref DOI link: https://doi.org/10.1007/s00170-024-14087-5

Published Online: 2024-07-05

Published Print: 2024-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dejene, Naol Dessalegn https://orcid.org/0000-0001-5949-8243
Lemu, Hirpa G.

Gutema, Endalkachew Mosisa
Funding

Funding for this research was provided by:

NORHED II (Grant Nr. 62862)

University of Stavanger & Stavanger University Hospital
License Information

Text and Data Mining valid from 2024-07-05

Version of Record valid from 2024-07-05
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Article History

Received: 19 March 2024

Accepted: 26 June 2024

First Online: 5 July 2024

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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