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Journal Articles

Predictive Modeling of Real Contact Area on Rough Surfaces Using Deep Artificial Neural Network

Siddharth Suman, Deepak K. Prajapati
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. November 2025, 147(11): 111501.
Paper No: TRIB-24-1525
https://doi.org/10.1115/1.4068057
Published Online: March 19, 2025
... to Two-Dimensional Contact Problems ,” New Developments in Boundary Element Methods , C. A. Brebbia , ed., CML Publishers , Southampton . [20] Rosenkranz , A. , Marian , M. , Profito , F. J. , Aragon , N. , and Shah , R. , 2021 , “ The Use of Artificial Intelligence...
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Topics: Artificial neural networks, Boundary element methods, Stress, Surface roughness, Contact mechanics, Surface topography
Journal Articles

Transfer Models and Standard Models for Predicting Wear-Rates on the Basis of Friction Noise: A Comparative Study

Honghao Zhao, Mingxuan Wang, Yuquan Liu, Ping Deng, Xin Hu, Fei Guo
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. June 2025, 147(6): 061702.
Paper No: TRIB-24-1517
https://doi.org/10.1115/1.4067816
Published Online: February 14, 2025
... , “ Impact of Learning Set Quality and Size on Decision Tree Performances ,” IJCSS , 1 ( 1 ). [55] Oates , T. , and Jensen , D. , 1997 , “ The Effects of Training Set Size on Decision Tree Complexity ,” Sixth International Workshop on Artificial Intelligence and Statistics , Fort...
View Articletitled, Transfer Models and Standard Models for Predicting Wear-Rates on the Basis of Friction Noise: A Comparative Study
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Topics: Algorithms, Friction, Noise (Sound), Wear, Feature selection
Journal Articles

Assessment of Tool Condition and Surface Quality Using Hybrid Deep Neural Network: CNN-LSTM-Based Segmentation and Statistical Analysis

K. Venkata Rao
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. August 2025, 147(8): 084201.
Paper No: TRIB-24-1479
https://doi.org/10.1115/1.4067496
Published Online: January 3, 2025
... surface roughness machine learning YOLO abrasion artificial intelligence vibrations wear Graphical Abstract Figure Data acquisition and CNN-LSTM architecture Data acquisition and CNN-LSTM architecture 12 11 2024 14 12 2024 16 12 2024 03 01 2025...
View Articletitled, Assessment of Tool Condition and Surface Quality Using Hybrid Deep Neural Network: CNN-LSTM-Based Segmentation and Statistical Analysis
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Topics: Convolutional neural networks, Surface roughness, Vibration, Wear, Machining, Image segmentation
Journal Articles

Machine Learning in Wear Prediction

Raj Shah, Nikhil Pai, Gavin Thomas, Swarn Jha, Vikram Mittal, Khosro Shirvni, Hong Liang
Journal: Journal of Tribology
Publisher: ASME
Article Type: Review Articles
J. Tribol. April 2025, 147(4): 040801.
Paper No: TRIB-24-1270
https://doi.org/10.1115/1.4066865
Published Online: November 6, 2024
... , D. , 2023 , “ An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair ,” Appl. Sci. , 13 ( 8 ), p. 4971 . 10.3390/app13084971 [7] Zhong , D. , Xia , Z. , Zhu , Y. , and Duan , J. , 2023 , “ Overview...
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Topics: Artificial neural networks, Machine learning, Wear, Maintenance