Triboinformatic modeling of dry friction and wear of aluminum base alloys using machine learning algorithms
Author:
Funder
ITMO University
Publisher
Elsevier BV
Subject
Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials
Reference61 articles.
1. Tribology for scientists and engineers;Menezes,2013
2. Machine-learning methods to predict the wetting properties of iron-based composites;Kordijazi;Surf Innov,2021
3. Recycling of aluminum to produce green energy;Martínez;Sol Energy Mater Sol Cells,2005
4. Metal matrix composites;Macke;Adv Mater Process,2012
5. Thermal conductivity of aluminum matrix composites reinforced with mixtures of diamond and SiC particles;Molina;Scr Mater,2008
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