Overview

This book presents a comprehensive and application-oriented exploration of artificial intelligence in mechanical engineering, focusing on the transformation of traditional mechanical systems into intelligent, data-driven, and autonomous solutions. It bridges fundamental AI concepts with core mechanical engineering domains such as design optimization, smart manufacturing, predictive maintenance, digital twins, robotics, and advanced materials. Emphasis is placed on practical implementation using machine learning, deep learning, and computational intelligence techniques to solve real industrial problems. The book also discusses Industry 4.0 integration, sensor-driven analytics, and human-machine collaboration frameworks. Through case studies, algorithms, and workflow illustrations, the text equips students, researchers, and practicing engineers with the knowledge required to develop next-generation intelligent mechanical systems. The work is particularly relevant for those seeking to apply AI for efficiency, reliability, sustainability, and innovation in modern mechanical engineering environments.

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