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Enhancing Grinding Efficiency in Aluminum Alloys: An Ensemble-Stacking and Single Machine Learning Framework for Predicting Surface Roughness with SHAP-based interpretability

Crossref DOI link: https://doi.org/10.1007/s00170-026-17594-9

Published Online: 2026-04-10

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

Authors

Dehghanpour Abyaneh, Mohsen https://orcid.org/0009-0001-7794-1509
Sadegh Javadi, Mohammad https://orcid.org/0000-0002-2395-0354
Narimani, Parviz

Golabchi, Marzieh

Sesana, Raffaella

Hadad, Mohammadjafar
Funding

Funding for this research was provided by:

Politecnico di Torino
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Text and Data Mining valid from 2026-04-10

Version of Record valid from 2026-04-10
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Article History

Received: 22 September 2025

Accepted: 23 January 2026

First Online: 10 April 2026

Change Date: 6 May 2026

Change Type: Update

Change Details: The original online version of this article was revised: The first name of the fifth author has been corrected and updated.

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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