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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Machine Learning–Based Wear Prediction of Recycled Magnesium Matrix Composites Reinforced With Ceramic Fibers

2026Engineering ReportsJournalOpen access

10.1002/eng2.70686 Full text3 citations

Authors

8 authors across 9 institutions in 4 countries.

Meenakshi Sudarvizhi SeenipeyathevarFirst author
Prasath Palaniappan
Vijayakumar Arumugam
Vivek SivakumarCorresponding
Muthupriya Ponnuswamy
Shyamala Guruswamy
Ravindaran Thangavel
Franz Tette OkyereSenior authorCorresponding
- Ghana Christian University College (GH)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Aluminum Alloys Composites Propertieslevel 3 · 0.50
Magnesium Alloys: Properties and Applicationslevel 3 · 0.13
Tribology and Wear Analysislevel 3 · 0.05

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2026 · Engineering Reports · 3 citations
https://openalex.org/W7135235901

Machine Learning–Based Wear Prediction of Recycled Magnesium Matrix Composites Reinforced With Ceramic Fibers · Sankore