Digital Twin 1st Edition

Capture the cutting edge of engineering and systems design with Digital Twin, 1st Edition by Ranjan Ganguli, Sondipon Adhikari, Souvik Chakraborty, and Mrittika Ganguli. This clear, contemporary guide translates complex theory into practical insight for anyone building or managing digital replicas of physical systems.

Explore the foundations and frontiers of digital twin technology: modeling and simulation techniques, data-driven and physics-informed approaches, integration with IoT and sensor networks, and methods for model validation and uncertainty quantification. Written for engineers, researchers, and advanced students, the book balances rigorous explanation with applied examples that illuminate real-world deployment across manufacturing, aerospace, energy, healthcare, and smart cities.

Whether you’re an industry professional implementing Industry 4.0 strategies or an academic developing next-generation simulations, this edition equips you with actionable frameworks and best practices to improve design, monitoring, and predictive maintenance. Regional and global perspectives ensure the material is relevant to technology hubs in India, Europe, North America, and emerging markets seeking scalable digital twin solutions.

Practical, precise, and forward-looking, Digital Twin, 1st Edition is a definitive resource for mastering digital replication—from core principles to deployment challenges and opportunities. Add this essential volume to your library to accelerate innovation, reduce downtime, and make data-driven decisions with confidence. Order now to stay ahead in a world where the physical and virtual converge.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.