Advanced Digital Design and Intelligent Manufacturing (Hardcover)
Language: English
Published by Mdpi AG, 2026
- Hardcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
US$ 97.45
Quantity: 1 available
Add to basketItem description from seller
Hardcover. This Reprint presents a collection of scientific contributions focused on the practical application of digital technologies and intelligent systems in modern mechanical engineering. It emphasizes the role of robotic milling, advanced CNC machining and additive manufacturing in enhancing production precision and geometric accuracy. The research highlights the integration of artificial intelligence and machine learning for optimizing manufacturing parameters and improving surface quality in complex machining tasks. By addressing the challenges of system rigidity automation and digital twin implementation, this Reprint provides a technical foundation for developing more flexible and sustainable industrial workflows. The findings offer essential knowledge for researchers and engineers seeking to bridge the gap between theoretical simulations and real-world manufacturing performance in the era of Industry 4.0. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9783725878079
- Title
- Advanced Digital Design and Intelligent Manufacturing (Hardcover)
- Author
- Jozef Svetlik
- Publisher
- Mdpi AG
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3725878072
- ISBN 13
- 9783725878079
This Reprint presents a collection of scientific contributions focused on the practical application of digital technologies and intelligent systems in modern mechanical engineering. It emphasizes the role of robotic milling, advanced CNC machining and additive manufacturing in enhancing production precision and geometric accuracy. The research highlights the integration of artificial intelligence and machine learning for optimizing manufacturing parameters and improving surface quality in complex machining tasks. By addressing the challenges of system rigidity automation and digital twin implementation, this Reprint provides a technical foundation for developing more flexible and sustainable industrial workflows. The findings offer essential knowledge for researchers and engineers seeking to bridge the gap between theoretical simulations and real-world manufacturing performance in the era of Industry 4.0.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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