A novel predictive model for abrasive waterjet deep hole drilling on AL7075 T6 using machine learning and evolutionary algorithmic approach

Abstract Abrasive Waterjet (AWJ) is a promising non-traditional method for precision cutting of aerospace materials like AL7075 T6. This work explores AL7075 T6 AWJ-based Deep Hole Drilling (DHD) using a full factorial design with accurate modeling and optimization performed through machine learning...

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Autors principals:	J. Bharani Chandar, M. Sivakumar, N. Lenin, Robert Čep, Sachin Salunkhe, Emad Abouel Nasr, C. Rathinasuriyan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-12-01
Col·lecció:	Scientific Reports
Matèries:	Abrasive waterjet Deep hole drilling Machine learning Optimization Algorithm
Accés en línia:	https://doi.org/10.1038/s41598-025-28058-7
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