Intelligent hybrid optimization of sustainable machining parameters for Inconel 718 using ANN driven evolutionary and swarm algorithms.

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Title: Intelligent hybrid optimization of sustainable machining parameters for Inconel 718 using ANN driven evolutionary and swarm algorithms.
Authors: Chohan JS; Department of Mechanical Engineering, Faculty of Engineering & Technology, Marwadi University Research Center, Marwadi University, Rajkot, Gujarat, India.; Faculty of Engineering, Sohar University, Sohar, Oman., Yadav R; Department of Mechanical Engineering, GLA University, Mathura, India., Nagori KK; Department of Mechanical Engineering, Faculty of Engineering, Gokul Global University, Sidhpur, Gujarat, 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., Singh R; Department of Mechanical Engineering, Chandigarh University, Mohali, Punjab, India., Bains PS; Centre for Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.; Department of Mechanical Engineering, Sharda School of Engineering & Sciences, Sharda University, Greater, Noida, India., Kumar R; Department of Computer Engineering and Applications, Institute of Engineering and Technology, GLA University, Mathura, 281406, India., Bhowmik A; Department of Additive Manufacturing, Mechanical Engineering, SIMATS, Saveetha Institute of Medical and Technical Sciences, Thandalam, 602105, Chennai, India.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India., Tamene Y; Faculty of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Jimma, 378, Ethiopia. yalew.tamene@ju.edu.et.
Source: Scientific reports [Sci Rep] 2026 May 09; Vol. 16 (1). Date of Electronic Publication: 2026 May 09.
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/s41598-026-52699-x