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Artificial Intelligence in Tribology book cover

1st Edition

Artificial Intelligence in Tribology

Edited By Jashanpreet Singh, Hitesh Vasudev Copyright 2027
306 Pages 120 B/W Illustrations
by CRC Press

Artificial Intelligence in Tribology presents the use of machine learning, AI, neural networks, and optimization algorithms in studying friction, wear, and lubrication. It explores the selection of materials, modeling of the tribo‑system, prediction of tribological behavior, and assessment and optimization of performance across numerous systems. Addressing tribological problems from... Read more

1. Introduction to Tribology and Artificial Intelligence. 
Jashanpreet Singh
2. AI Foundations Relevant to Tribology. 
Amrinder Mehta, Brijesh Prasad, Hitesh Vasudev, and Mohamed Aboughaly
3. Machine Learning for Predictive Modeling in Tribology. 
Jashanpreet Singh and Miroslaw Szala
4. AI-Driven Surface Engineering. 
Parminder Singh, Adityabir Singh, Sunirmit Verma, and Surinder Singh
5. Optimization Techniques for Lubrication Design. 
Parminder Singh, Adityabir Singh, Sunirmit Verma, Pushpendra Gupta, and Manpreet Singh
6. Tribological and Wear Analysis Using Neural Networks. 
Jashanpreet Singh
7. Applications of AI-Tribology in Aerospace and Renewable Energy. 
Amrinder Mehta, Brijesh Prasad, Hitesh Vasudev, and Abdul Wahab Hashmi
8. Sustainability through Artificial Intelligence in Tribology. 
Jyoti Bhattacharjee, Subhasis Roy, and Hyun Suk Jung
9. Artificial Intelligence-Based Emerging Tools and Techniques in Tribology. 
Praveen Kumar Verma and Hitesh Vasudev
10. Case Study on Artificial Intelligence in Automotive Tribology. 
Praveen Kumar Verma, Hitesh Vasudev, and Shivam Kumar
11. Case Study on Artificial Intelligence in Biomedical Tribology. 
Jibrin Muhammad Yelwa
12. AI-Driven Predictive Maintenance and Wear Prediction in Tribology: Industrial Case Studies and Applications. 
Virinder Kumar
13. Artificial Intelligence in Marine Tribology: Applications, Challenges, and Future Directions. 
Vikas Sharma
14. Challenges and Future Directions in AI and Tribology. 
Amrinder Mehta, Jashanpreet Singh, Brijesh Prasad, and Hitesh Vasudev

Biography

Dr. Jashanpreet Singh is an Assistant Professor at Chandigarh University, Mohali, India. In 2019, he earned his Ph.D. from Thapar Institute of Engineering and Technology, Patiala, India. He has several years of both teaching experience and industry experience. His research interests include tribology, solid particle erosion, power plant engineering, ash conveying, thermal spray coatings, CFD simulation, composites, and materials characterization. He has authored over a hundred research publications indexed in the Scopus database. He has authored and edited five books with CRC Press. He serves as a reviewer for various journals, and he is a member of AICTSD, IAENG, and NITTSD.

Dr. Hitesh Vasudev is a Professor in the School of Mechanical Engineering at Lovely Professional University, Phagwara, Punjab, India. He earned his Ph.D. in 2018 from Guru Nanak Dev Engineering College, Ludhiana, India. His primary research interests are surface engineering, with particular emphasis on thermal spray technologies; development of nanostructured, multimodal, and high‑entropy alloy coatings for high‑temperature oxidation and corrosion resistance; thermal barrier coatings (TBCs); and microwave processing of materials. He has made significant scholarly contributions to the field of thermal spray coatings through numerous publications in reputed international journals.

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