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Wear maps of the Ti-6Al-4V alloy and a tribo-informatics approach for predicting its wear rate under dry sliding conditions using machine learning algorithms

Harun Mindivan, Aysenur Egercioglu Yazici, Uğur Yüzgeç

2025Next research.6 citationsDOI

Topics & Concepts

AlloyInformaticsComputer scienceArtificial intelligenceMaterials scienceMachine learningMetallurgyEngineeringElectrical engineeringLubricants and Their AdditivesMetal and Thin Film MechanicsAdvanced machining processes and optimization
Wear maps of the Ti-6Al-4V alloy and a tribo-informatics approach for predicting its wear rate under dry sliding conditions using machine learning algorithms | Litcius