Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites

Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites

The wear loss and frictional characteristics of magnesium-based hybrid composites reinforced with boron carbide (B<sub>4</sub>C) particles and graphite filler were the main subjects of the investigation. Key parameters, including reinforcement content (0–10 wt%), applied load (5–30 N), s...

Full description

Saved in:
Bibliographic Details
Main Authors: Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Crystals
Subjects:
magnesium hybrid composites
wear loss
COF
machine learning
sustainable material
Online Access:https://www.mdpi.com/2073-4352/15/5/452
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4352/15/5/452

Similar Items