Trends in Mechatronics Systems

Industry 4.0 Perspectives
2024
ISBN: 978-981-97-9107-1
Verlag: Springer Nature Singapore

Buch, Englisch, 235 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 551 g

Reihe: Emerging Trends in Mechatronics

This book consists of twelve chapters covering the design aspects, their feasibility, mathematical modeling by numerical, experimental, computational and simulation approaches. It discusses how different internet technologies integrate mechatronics systems with people, products and complex systems. The methodology and tools included in this book focus on contemporary aspects of integrating Industry 4.0 and mechatronics systems for new means and models to achieve a sustainable green environment. Readers will get an insight into the current development of mechatronics systems in the context of scientific disciplines and present new results of research and development, indicating the trends of development in this interdisciplinary field.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kumar, Ajay

Azizi, Aydin

Kumar, Parveen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

1. Design and Fabrication of Automated Rivet Assembly and Pneumatic Punching Systems.- 2. Real-World Security Constrained AC Optimal Power Flow Analysis using Artificial Gorilla Troops Optimizer.- 3. Boosting Accuracy and Transparency in Biometric Finger-Vein Recognition: CNN with Adaptive Interpretable Recognition.- 4. Design of Machine Learning Framework for Cyber Attack Detection in Internet of Healthcare things (IoHT): Critical Analysis.- 5. Optimizing Linear Regression model in water hardness prediction for Industry 4.0.

Über Autor(innen)

Ajay Kumar is currently serving as a Professor in Department of Mechanical Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India His areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Waste Management, and Optimization Techniques

Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. His areas of research include Intelligent Manufacturing Systems, Materials; Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and Artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques.

Aydin Azizi holds a PhD in Mechanical Engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), he currently serves as a Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control and optimize complex systems. Dr. Azizi’s areas of expertise include Control & Automation, Artificial Intelligence and Simulation Techniques.