This open access book offers an in-depth exploration of the most recent innovations in mechanical design and simulation, integrating advanced methodologies with emerging technologies such as digital twin modeling, physics-informed machine learning, and multi-scale simulation. By addressing efficiency, performance optimization, and sustainable engineering solutions, it provides practical insights for implementing advanced manufacturing techniques and robotics integration. Serving as a comprehensive resource, this proceedings equips engineers, researchers, and students with actionable knowledge, fostering cross-disciplinary collaboration and bridging traditional mechanical design with next-generation computational approaches.
This open access book offers an in-depth exploration of the most recent innovations in mechanical design and simulation, integrating advanced methodologies with emerging technologies such as digital twin modeling, physics-informed machine learning, and multi-scale simulation. By addressing efficiency, performance optimization, and sustainable engineering solutions, it provides practical insights for implementing advanced manufacturing techniques and robotics integration. Serving as a comprehensive resource, this proceedings equips engineers, researchers, and students with actionable knowledge, fostering cross-disciplinary collaboration and bridging traditional mechanical design with next-generation computational approaches.
Tamás Mankovits
Open Access Mechanical design innovations Simulation Techniques Manufacturing processes Digital twin Physics-informed machine learning Multi-scale simulation Sustainable engineering