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Issues
September 2023
In Progress
ISSN 0742-4787
EISSN 1528-8897
In this Issue
Special Issue: Tribo-Informatics: Toward High-Efficiency Tribology Research
Review Article
Performance of Thermally Sprayed Nickel and Tungsten-Based Coatings in Slurry Erosion Conditions: A Review
J. Tribol. September 2023, 145(9): 090801.
doi: https://doi.org/10.1115/1.4062372
Research Papers
Small-Dataset Machine Learning for Wear Prediction of Laser Powder Bed Fusion Fabricated Steel
J. Tribol. September 2023, 145(9): 091101.
doi: https://doi.org/10.1115/1.4062368
Topics:
Algorithms
,
Artificial neural networks
,
Lasers
,
Machine learning
,
Wear
,
Temperature
A Machine Learning Approach for Real-Time Wheel-Rail Interface Friction Estimation
Morinoye O. Folorunso, Michael Watson, Alan Martin, Jacob W. Whittle, Graham Sutherland, Roger Lewis
J. Tribol. September 2023, 145(9): 091102.
doi: https://doi.org/10.1115/1.4062373
Topics:
Friction
,
Rails
,
Wheels
,
Trains
,
Machine learning
Prediction of Frictional Moment of Cylindrical Roller Bearing Using Experimental Data-Driven Artificial Neural Networks
J. Tribol. September 2023, 145(9): 091103.
doi: https://doi.org/10.1115/1.4062367
Topics:
Artificial neural networks
,
Bearings
,
Roller bearings
,
Stress
,
Rollers
Study of Cross-Scale Micro-Motion Wear Characteristics of Metallic Rubber
J. Tribol. September 2023, 145(9): 091104.
doi: https://doi.org/10.1115/1.4062374
Knowledge-Guided Convolutional Neural Network Model for Similar Three-Dimensional Wear Debris Identification With Small Number of Samples
J. Tribol. September 2023, 145(9): 091105.
doi: https://doi.org/10.1115/1.4062370
Topics:
Neural network models
,
Particulate matter
,
Wear
,
Fatigue
Enhanced Interfacial Adhesion of TiO2 Nanotubes Decorated With Ag Silver Nanoparticles Prepared by Photo-Reduction Process
Hafedh Dhiflaoui, Mohamed Aziz Hajjaji, Anouar Hajjaji, Lotfi Khezami, Ali Karrech, Brahim Bessais, Ahmed Ben Cheikh Larbi, Mosbah Amlouk
J. Tribol. September 2023, 145(9): 091106.
doi: https://doi.org/10.1115/1.4062485
Topics:
Adhesion
,
Nanotubes
,
Titanium dioxide
,
Coatings
,
Nanoparticles
,
Tribology
,
Silver
,
Stress
Tribological Behavior of AA-6063 Cast Using In Situ Microwave Process by Taguchi Method and ANFIS Model
J. Tribol. September 2023, 145(9): 091107.
doi: https://doi.org/10.1115/1.4062371
Topics:
Microwaves
,
Wear
,
Stress
,
Casting
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Monitoring Wear of a Deep Groove Ball Bearing Using Ultrasonic Reflection
J. Tribol (October 2023)
Experimental Investigation and Machine Learning Modeling of Wear Characteristics of AZ91 Composites
J. Tribol (October 2023)
