Artificial Intelligence And Mechanical Engineering
Download Artificial Intelligence And Mechanical Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence And Mechanical Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
ARTIFICIAL INTELLIGENCE FOR MECHANICAL ENGINEERING
The 21st century has ushered in a technological renaissance, with Artificial Intelligence (AI) standing at the forefront as a catalyst for innovation and transformation across every sphere of engineering. Once confined to the realm of computer science, AI has now firmly embedded itself in the domain of mechanical engineering, redefining how machines are designed, manufactured, operated, and maintained. This book, Artificial Intelligence for Mechanical Engineering, is an endeavor to bridge the gap between classical mechanical principles and modern computational intelligence, offering students, researchers, and industry professionals a comprehensive guide to harnessing AI in this dynamic field. Mechanical engineering, traditionally grounded in deterministic models and empirical testing, is witnessing an unprecedented shift toward data-driven, adaptive, and autonomous systems. Whether it is predictive maintenance in industrial plants, generative design in product development, AI-enhanced computational simulations, or intelligent robotics in manufacturing, the integration of AI has opened new horizons for efficiency, precision, and innovation. This transformation is not merely technological—it is philosophical, altering the way engineers perceive problems and conceive solutions. The impetus for writing this book arose from a recognition that while AI tools are rapidly advancing, their practical adoption in mechanical engineering requires both technical understanding and domain-specific adaptation. Many existing resources either focus heavily on AI theory without contextual application, or on mechanical engineering without adequately exploring AI’s potential. Our goal is to synthesize these perspectives—presenting AI concepts with clarity, grounding them in engineering fundamentals, and illustrating their use through real-world case studies.
Machine Intelligence in Mechanical Engineering
Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. - Provides detailed case studies of how machine intelligence has been used in mechanical engineering applications - Includes a basic introduction to machine learning algorithms and their implementation - Addresses innovative applications of AR/VR technology in mechanical engineering
Artificial Intelligence in Mechanical and Industrial Engineering
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.