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A novel methodology for predicting energy and time consumption in additive manufacturing powder bed fusion with electron beam system using neural network

Crossref DOI link: https://doi.org/10.1007/s00170-025-15570-3

Published Online: 2025-04-24

Published Print: 2025-05

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

Authors

Antonioni, Paolo

Lunetto, Vincenzo

Galati, Manuela https://orcid.org/0000-0001-6508-2594
Funding

Funding for this research was provided by:

Politecnico di Torino
License Information

Text and Data Mining valid from 2025-04-24

Version of Record valid from 2025-04-24
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Article History

Received: 25 November 2024

Accepted: 12 April 2025

First Online: 24 April 2025

Declarations

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: All authors agreed with the consent to participate.

: All authors have read and agreed to the publication of the paper.

: The authors declare no competing interests.

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