Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm
Proceedings of the 650 EUROMECH Colloquium
Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Mechanisms and Machine Science
ISBN: 978-3-032-32695-9
Verlag: Springer Nature Switzerland AG
This book showcases the results of the Euromech Colloquium 650, which aimed at fostering a deeper understanding of how artificial intelligence enhances applied mechanics. The selected papers highlight novel methodologies, innovative applications, and interdisciplinary approaches that address current challenges in mechanical system optimization, energy harvesting, material characterization, structural health monitoring, and vibration analysis. By bridging AI techniques with traditional mechanical engineering, this book offers valuable insights for researchers, industry professionals, and academic scholars working in applied mechanics, computational modelling, and intelligent system design.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffprüfung
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
Weitere Infos & Material
Neuro-Fuzzy Clustering of Lateral and Vertical Acceleration of Railway Track: An AI-Enhanced Approach.- Hip implant stem design optimization via lattice struc-tures and mechanical behavior prediction using arti-ficial intelligence.- Periodic and Stochastic Excitation of Coupled Nano-Plate and Nano-Shell: Analytical, Numerical, and Random Forest Models.- Intelligent machines in predictive maintenance processes.- Analysis of the Effect of Geometric Constraints on the Optimal Synthesis of Planar Mechanisms Conducted by Using Metaheuristic Algorithm.- Fuzzy Lyapunov Approach for Adaptive System Control.- AI-Driven Optimization of Biomechanical Models for Personalized Prosthetic Design and Performance Enhancement.- Real-Time Simulation of Combustion Processes Using Artificial Neural Networks.- AI-Driven Experimentation: Designing Experiments and Extracting Insight from Complex Engineering Data.- Taguchi – AI Approach for Process Optimization in Composite Manufacturing.
