Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC.
Saved in:
| Title: | Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC. |
|---|---|
| Authors: | Kumar TS; Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India. t_satishkumar@cb.amrita.edu., Shalini S; Department of Physics, PSG Polytechnic College, Coimbatore, India., Petrů J; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic., Kirubavathi G; Department of Mathematics, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, India., Kalita K; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, 70800, Czech Republic. kanakkalita02@gmail.com.; Department of Mechanical Engineering, Rajalakshmi Institute of Technology, Chennai, 600124, India. kanakkalita02@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 26; Vol. 15 (1), pp. 42056. Date of Electronic Publication: 2025 Nov 26. |
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-025-26093-y |
