Tribology for Industry 4.0: Solutions for Surface Engineering explores how data analytics, AI, IoT, and smart sensors can be combined to maximize tribological performance in modern industrial systems. It further examines the use of ML and big data analytics to enhance wear management, friction control, and surface engineering efficiency. Covering adaptive coatings, smart lubrication systems, and predictive maintenance techniques, the book explains how they dynamically respond to operating conditions, minimizing downtime and maximizing efficiency. It emphasizes eco-friendly tribology techniques to help industries comply with environmental regulations and lessen their carbon footprint, such as cutting energy use, improving lubrication, and implementing sustainable materials. Real-world examples and case studies are included to demonstrate successful implementation in manufacturing, automotive, aerospace, and energy sectors. Researchers and graduate students studying surface engineering, lubrication, and wear management will benefit from this book.
