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The regression analysis of dry - wet wear outcomes and materials properties of biodegradable MgCu and MgZn, made by P/M, using machine learning models

Crossref DOI link: https://doi.org/10.1007/s00339-025-08452-8

Published Online: 2025-03-24

Published Print: 2025-04

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

Authors

Tekin Ünver, Rukiye

Bayraktar, Cihan

Demir, Bilge https://orcid.org/0000-0002-3617-9749
Funding

Funding for this research was provided by:

Karabuk University
License Information

Text and Data Mining valid from 2025-03-24

Version of Record valid from 2025-03-24
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Article History

Received: 11 January 2025

Accepted: 16 March 2025

First Online: 24 March 2025

Declarations

:

: Not applicable.

: As the authors, we hereby state there is no actual or potential conflict of interest, including any financial, personal, or other relationships with other people or organizations within three years of beginning the submitted work that could inappropriately influence or be perceived to influence our present work.

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