Crossmark

Sampling algorithm and fully connected neural network regression model for obtaining the process operating window and elucidating process parameters effects on mechanical properties in laser powder bed fusion

Crossref DOI link: https://doi.org/10.1007/s00170-026-18176-5

Published Online: 2026-04-25

Published Print: 2026-06

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

Authors

Yu, Jian

Butler, Alex https://orcid.org/0000-0002-1681-4602
Funding

Funding for this research was provided by:

DEVCOM Army Research Laboratory (DEVCOM Army Research Laboratory)
License Information

Text and Data Mining valid from 2026-04-25

Version of Record valid from 2026-04-25
More Information

Article History

Received: 22 January 2026

Accepted: 15 April 2026

First Online: 25 April 2026

Declarations

:

: The authors have no conflicts or competing interests.

: Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring by the United States Government. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government, and shall not be used for advertising or product endorsement purposes.

Document is current

Any future updates will be listed below