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An Investigation into the Abrasive Waterjet Cutting of Rocks: Improving the Cutting Performance and Leveraging the Machine Learning Algorithms for Modelling

Crossref DOI link: https://doi.org/10.1007/s42461-025-01342-w

Published Online: 2025-09-03

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

Authors

Rogai, Imene

Karakurt, Izzet

Aydin, Gokhan

Karabacak, Yunus Emre

Avci, Busra Demir

Kaya, Serkan
Funding

Funding for this research was provided by:

Karadeniz Teknik Üniversitesi (FDK-2022-10526)
License Information

Text and Data Mining valid from 2025-09-03

Version of Record valid from 2025-09-03
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Article History

Received: 1 February 2025

Accepted: 8 August 2025

First Online: 3 September 2025

Declarations

:

: This is an original work that is not being submitted elsewhere. Results have been presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation.

: Informed written consent was obtained from the participants participating in the study.

: The authors declare no competing interests.

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