Zhinan Zhang, Nian Yin

Tribo-Informatics (eBook, ePUB)

The Systematic Fusion of AI and Tribology

• Format: ePub

Produktbeschreibung

This book details how artificial intelligence and other informatic methods can be applied to the field of tribology. Using problems often found within tribological condition monitoring, behaviour prediction, system optimization and mechanism analysis, the book covers methods used such as Artificial neural networks (ANN).

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 248
• Erscheinungstermin: 11. April 2024
• Englisch
• ISBN-13: 9781040013830
• Artikelnr.: 70043978

Autorenporträt

Zhinan Zhang

He received his Ph.D. in Shanghai Jiao Tong University. From 2011 to 2013, he worked as a Postdoc in Shanghai Jiao Tong University. He is currently a professor at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research interests include tribo-informatics, contact electrification, computational design, and analysis of tribo-systems.

Nian Yin

He received his B.S. degree and M.D. in mechanical engineering in 2017 and 2020, respectively, from Shanghai Jiao Tong University, Shanghai, China. He is now working as a Ph.D. student at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research focuses on the computational design of materials, contact electrification, and development of tribology testing machine

Inhaltsangabe

1. INTRODUCTION
1.1 Development of tribology
1.2 Development of informatics
1.3 Application of information technology to the field of tribology
2. CONCEPTUAL FRAMEWORK AND INFORMATIONAL EXPRESSION OF TRIBO-INFORMATICS
2.1 Concept of tribo-informatics
2.2 Architecture of tribo-informatics
2.3 Informational Expression of Tribo-system
3. METHODS AND IMPLEMENTATION OF TRIBO-INFORMATICS
3.1 Connotation of tribo-informatics methods
3.2 Application of tribo-informatics methods in tribology
3.3 Future treads of tribo-informatics
4. CASE STUDIES
4.1 Tool Wear Prediction
4.2 Visual monitoring of worn surface morphology
4.3 Real time collection and time series analysis method for
multi-dimensional friction information
5. CONCLUSION