Current trends and applications of machine learning in tribology—A review
Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …
The role of machine learning in tribology: A systematic review
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …
mathematical algorithm that accurately simulates many engineering processes. Machine …
A review of recent advances and applications of machine learning in tribology
In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …
understand the interfacial characteristics of material surfaces in motion and tribological …
Machine learning-based prediction of friction torque and friction coefficient in statically loaded radial journal bearings
H Baş, YE Karabacak - Tribology International, 2023 - Elsevier
In this research, we utilized machine learning (ML) algorithms to predict the friction torque
and friction coefficient in a statically loaded radial journal bearing. The study investigated the …
and friction coefficient in a statically loaded radial journal bearing. The study investigated the …
Triboinformatic modeling of the friction force and friction coefficient in a cam-follower contact using machine learning algorithms
BAŞ Hasan, YE Karabacak - Tribology International, 2023 - Elsevier
In this study, the coefficient of friction and friction force in a cam follower mechanism were
estimated using modern machine learning (ML) algorithms. Three different ML algorithms …
estimated using modern machine learning (ML) algorithms. Three different ML algorithms …
Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry
Machine learning (ML) algorithms have brought about a revolution in many industries where
otherwise operation time, cost, and safety would have been compromised. Likewise, in …
otherwise operation time, cost, and safety would have been compromised. Likewise, in …
Artificial neural network model for estimating the soil temperature
Ozturk, M., Salman, O. and Koc, M. 2011. Artificial neural network model for estimating the
soil temperature. Can. J. Soil Sci. 91: 551–562. Although soil temperature is a critically …
soil temperature. Can. J. Soil Sci. 91: 551–562. Although soil temperature is a critically …
A solution for finite journal bearings by using physics-informed neural networks with both soft and hard constrains
Y Xi, J Deng, Y Li - Industrial Lubrication and Tribology, 2023 - emerald.com
Purpose The purpose of this study is to solve the Reynolds equation for finite journal
bearings by using the physics-informed neural networks (PINNs) method. As a meshless …
bearings by using the physics-informed neural networks (PINNs) method. As a meshless …
Sensors and tribological systems: applications for industry 4.0
Purpose The involvement of wear, friction and lubrication in engineering systems and
industrial applications makes it imperative to study the various aspects of tribology in relation …
industrial applications makes it imperative to study the various aspects of tribology in relation …
Machine learning-assisted analysis of dry and lubricated tribological properties of Al–Co–Cr–Fe–Ni high entropy alloy
This study marks a notable advancement in tribology by thoroughly investigating the
tribological properties of a high-entropy alloy under both lubricated and dry conditions. The …
tribological properties of a high-entropy alloy under both lubricated and dry conditions. The …