

Beschreibung
Autorentext Mohan Kumar Pradhan, M.Tech (Mechanical Engineering, REC (now NIT), Rourkela), and Ph.D. (Engineering, NIT Rourkela), is currently working as an Associate Professor in the Department of Mechanical Engineering, National Institute of Technology (NIT)...Autorentext
Mohan Kumar Pradhan, M.Tech (Mechanical Engineering, REC (now NIT), Rourkela), and Ph.D. (Engineering, NIT Rourkela), is currently working as an Associate Professor in the Department of Mechanical Engineering, National Institute of Technology (NIT), Raipur - an Institute of National Importance. He previously served as an Assistant Professor in the Department of Mechanical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, - also an Institute of National Importance. Pradhan has over 26 years of teaching and research experience in the field of manufacturing. His areas of teaching and research include Manufacturing Technologies, Additive Manufacturing, Quality Assurance, Metrology, Tool Engineering, Metal Forming, Theory of Plasticity, Design and Manufacturing, Non-Traditional Machining, Micro-Machining, MEMS, Hybrid Machining, Composites, and Process Modelling and Optimization. Pradhan has made significant contributions to his field with over 85 international journal publications and over 80 technical papers published in conference proceedings. He has authored one book, edited two books, and edited over five conference proceedings. Additionally, he has served as a guest editor for more than five journals and contributed over 30 book chapters. He is a member of the editorial board and review panel for more than five renowned international journals. His research achievements have earned him numerous awards and honours. He has been recognised in the Web of Science Core Collection with 200 publications, an h-index of 16+, a SCOPUS h-index of 18+, and a Google Scholar h-index of 25+. Pradhan is a Chartered Engineer, a Life Fellow of the Indian Institution of Production Engineers (IIPE), a Life Member of ISTE, IACSIT, IAENG, and a Fellow (F.I.E.). Pradhan has been featured in the top 2% of world scientists list for 2021, 2022, 2023, and 2024, as prepared by a team of scientists at Stanford University in the United States.
Mahendra U. Gaikwad is currently working as an Assistant Professor in the Department of Mechanical Engineering, Veermata Jijabai Technological Institute (VJTI), Mumbai, (An Autonomous Institute of the Government of Maharashtra), India. He has more than 11 years of teaching experience at UG & PG level. He obtained his B.E. in Mechanical Engineering and M.E. in Mechanical Design Engineering from the Walchand Institute of Technology, Solapur, Maharashtra, India, and Ph.D. in Mechanical Engineering from the Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. His current research interests include advanced manufacturing process, material characterization, surface integrity, machining of smart material alloys and optimization. He has published more than 25 articles, 3 book chapters, and edited 2 books with renowned publishers. He acted as a reviewer in more than three international journals & four international conferences. Being concerned with manufacturing research background he has undertaken industry based research projects for UG & PG students, till date he has guided more than 25 UG project groups and more than 8 PG students in his teaching career. He has received the Best Performer in Education (Teaching & Research Excellence) Award in 2022 year by Savitribai Phule Excellence Award, Pune, Maharashtra, India. He is a member of International Association of Engineers (IAENG) and lifetime member of the Quality Circle Forum of India.
Ragavanantham Shanmugam, Department Chair of Engineering Technology at Fairmont State University, West Virginia, United States, is recognized for his exceptional contributions to engineering education for the underserved communities through innovative teaching, curriculum development, and student mentorship. With over 25 years of global academic experience, Shanmugam has advanced interdisciplinary learning, fostered industry partnerships, and championed diversity, equity, and inclusion in STEM. His scholarly impact includes over 575+ citations, 5 book Chapters in advanced manufacturing and pioneering research in advanced manufacturing and sustainable engineering. Awarded multiple Best Teacher honors, his leadership has inspired countless students and colleagues, embodying the values of excellence and innovation in engineering education.
Klappentext
This book covers manufacturing in the current context of Industry 4.0 and the impending era of Industry 5.0 exploring the path established by the manufacturing sector including developments, constraints, difficulties, and solutions, underlining the importance of sustainability.
Inhalt
Preface, Acknowledgment, Editor's Bibliography, List of Contributors, Foreword, Chapter 1 Introduction to Manufacturing in the Digital Age 1.1 The Order from First Production to the Industrial Revolution 1.1.1 Definition and History of Manufacturing 1.1.2 Traditional Manufacturing Processes 1.1.3 Challenges and Limitations of Traditional Manufacturing 1.2 Revolutionizing Manufacturing with Digital Transformation 1.2.1 Definition of Digital Manufacturing 1.2.2 Key Factors of Digital Transformation in Manufacturing 1.2.3 The Role of Industry 4.0 1.3 Key Technologies in Digital Manufacturing 1.3.1 IoT 1.3.2 Big Data and Analytics 1.3.3 AI and ML 1.3.4 Robotics and Automation 1.3.5 Additive Manufacturing (3D Printing) 1.3.6 Digital Twins 1.3.7 Cloud Computing 1.3.8 Cybersecurity 1.4 Impact of Digital Manufacturing 1.4.1 On Product Development 1.4.2 On Supply Chain Management 1.4.3 On Workforce 1.5 Case Studies and Real-World Examples 1.5.1 Success Stories from Leading Manufacturers 1.5.2 Challenges Faced and Overcome 1.5.3 Lessons Drawn and Leading Practices 1.6 Benefits of Digital Manufacturing 1.6.1 Increased Efficiency and Productivity 1.6.2 Cost Reduction 1.6.3 Improved Quality and Consistency 1.6.4 Enhanced Flexibility and Agility 1.7 Challenges and Barriers to Adoption 1.7.1 Technical Challenges 1.7.2 Cost and Investment Considerations 1.7.3 Workforce Resistance and Cultural Change 1.7.4 Data Privacy and Security Concerns 1.8 Future Trends in Digital Manufacturing 1.8.1 Emerging Technologies 1.8.2 Predictions for the Next Decade 1.8.3 The Role of Sustainability and Green Manufacturing 1.9 Conclusion Chapter 2 Advancements in Industry 4.0 and Introduction to Industry 5.0 2.1 Introduction 2.1.1 Overview of the Industrial Revolutions 2.1.2 Introduction to I4o and I5o 2.1.3 Chapter Objectives 2.2 Core Technologies of I4o 2.2.1 IoT 2.2.2 AI and ML 2.2.3 CPS 2.2.4 Big Data Analytics 2.2.5 Robotics and Automation 2.3 Applications and Implications of I4o 2.3.1 Smart Factories 2.3.2 SCM 2.3.3 Predictive Maintenance and AI in Manufacturing 2.3.4 Digital Twins 2.4 I5o: A Human-Centric Approach 2.4.1 From Automation to Augmentation 2.4.2 Ethical and Value-Oriented Technology in I5o 2.4.3 Resilience and Sustainability 2.4.4 Customization and Personalization 2.5 Key Technologies Enabling I5o 2.5.1 Advanced AI and Robotics 2.5.2 CPS in I5o 2.5.3 Metaverse and Virtual Collaboration Tools 2.6 Transitioning from I4o to I5o 2.6.1 Evolutionary Path 2.6.2 Overcoming Challenges in the Transition 2.6.3 Collaborative Ecosystem 2.7 Case Studies and Practical Insights 2.7.1 Smart Factories in Action 2.7.2 Personalized Manufacturing 2.8 Conclusion 2.8.1 Summary of Key Innovations Driving I4o and I5o 2.8.2 Outlook on Future Developments in I5o Chapter 3 Product Design and Development in the Digital Era 3.1 Introduction 3.2 Digital Design and Prototyping 3.2.1 Computer-Aided Design (CAD) 3.2.2 Virtual Reality (VR) and Augmented Reality (AR) 3.3 Collaborative Design and Development 3.3.1 Cloud-Based Collaboration 3.3.2 Integrated Design and Development Tools 3.3.3 Communication and Messaging Platforms 3.3.4 Project Management and Collaboration Tools 3.3.5 User Testing and Feedback 3.3.6 Security and Access Controls 3.4 Data-Driven Decision-Making 3.4.1 User Behavior Analysis 3.4.2 Performance Analytics 3.4…
