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Acoustic-driven Hidden Markov and reinforcement learning framework for intelligent process monitoring and adaptive decision support in wire arc additive manufacturing

Crossref DOI link: https://doi.org/10.1557/s43579-026-00987-y

Published Online: 2026-06-02

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

Authors

Rahman, Md Arifur

Taheri, Hossein https://orcid.org/0000-0003-1704-8775
Funding

Funding for this research was provided by:

Partnership for Innovation (PIN) Fellowship Award (2025)
License Information

Text and Data Mining valid from 2026-06-02

Version of Record valid from 2026-06-02
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Article History

Received: 21 January 2026

Accepted: 15 May 2026

First Online: 2 June 2026

Declarations

:

: Authors have no conflict of interest.

: This study involves no human participants, animal subjects, or biological material. Ethical approval was not required.

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