A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276.

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Title: A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276.
Authors: Abdullah M; Electric Vehicles Engineering Department, Faculty of Engineering, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan., Rao ACU; Vardhaman College of Engineering, Hyderabad, Telangana, India., Ramachandran T; Department of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India., Biswal S; Department of Mechanical Engineering, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India., Chaudhary SP; Department of Mechanical Engineering, Faculty of Engineering, Gokul Global University, Sidhpur, Gujarat, India., Singh R; Department of Mechanical Engineering, Chandigarh University, Mohali, Punjab, India., Mishra A; Department of Mechanical Engineering, Sharda School of Engineering and Sciences, Sharda University, Greater, Noida, India., Mann VS; Department of Mechanical Engineering, School of Engineering and Technology, CGC University, Mohali, Punjab, 140307, India., Bhowmik A; Department of Additive Manufacturing, Mechanical Engineering, SIMATS, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, 602105, India.; Division of Research and Development, Lovely Professional University, Punjab, Phagwara, India., Abate L; Department of Statistics, College of Natural and Computational Sciences, Mizan-Tepi University, Mizan Teferi, Ethiopia. lema@mtu.edu.et.
Source: Scientific reports [Sci Rep] 2026 Apr 27; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-50824-4