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Full Description
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 macroscale to nanoparticles, the book discusses AI-driven methods to improve productivity, detect disasters, and support sustainable engineering. Case studies from various industries - such as automotive, aerospace, renewable energy, and marine engineering - highlight the transformative impact of AI in real-world scenarios.
This book will interest researchers and graduate students studying the intersection of AI and advances in surface engineering, tribology, and materials science.
Contents
1. Introduction to Tribology and Artificial Intelligence. 2. AI Foundations for Tribology. 3. Machine Learning for Predictive Modelling in Tribology. 4. AI-Driven Surface Engineering. 5. Optimization Techniques for Lubrication Design. 6. Tribological and Wear Analysis Using Neural Networks. 7. Applications of AI-Tribology in Aerospace and Renewable Energy. 8. Sustainability through Artificial Intelligence in Tribology. 9. Artificial Intelligence-based Emerging Tools and Techniques in Tribology. 10. Case Study on Artificial Intelligence in Automotive Tribology. 11. Case Study on Artificial Intelligence in Biomedical Tribology. 12. AI-Driven Predictive Maintenance and Wear Prediction in Tribology: Industrial Case Studies and Applications. 13. Artificial Intelligence in Marine Tribology: Applications, Challenges, and Future Directions. 14. Challenges and Future Directions in AI and Tribology.
