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Full Description
This book introduces the applications of Industry 4.0 in machine tools through an overview of the latest available digital technologies. It focuses on digital twining, communication between industrial controls, motion, and input/output devices, along with sustainability in SMEs.
Machine Tools: An Industry 4.0 Perspective focuses on the digital twining of machine tools, which improves the life of the machines and provides a method of operating a factory during times of complete lockdown resulting from various conditions. It presents an overview of the communication between industrial controls, motion, and input/output devices through standardized digital interfaces such as SERCOS and USB. The book goes on to discuss industrial cybersecurity systems applicable to discrete manufacturing, which includes cyberattacks and human errors, and address the security aspects related to software, hardware, and data. The book also explores the application of big data for different stages of production and illustrates the uses such as predictive maintenance, product quality, product life cycle management (PLM), and more.
This book is an ideal reference for undergraduate, graduate, and postgraduate students of industrial, mechanical, and mechatronics engineering, along with professionals, and general readers.
Contents
1. Promoting Enterprises of Functional Reverse Engineering through Design Thinking: Engineers and Marketers Perspective. 2. Everything you Need to Know about Intelligent Manufacturing: Industry 4.0. 3. Security at the Internet of Things. 4. IoT Advancements and Challenges in Manufacturing Industries. 5. Internet of Things-Enabled 3D Printer. 6. Collaborative Robot with Collision Avoidance System. 7. Design, Manufacturing and Sustainability Analysis of Textile Spinning Machine. 8. An introduction to Additive Manufacturing (AM) of Metals and Its Trends in Wire-Arc Additive Manufacturing (WAAM) Simulations. 9. Additive Manufacturing Based Rapid Tooling. 10. Process Design for Hot Forging via Finite Element Analysis Considering Reverse Engineering. 11. Milling Path Planning of Glasses Lens Edge Based on Dynamic Gaussian Smoothing. 12. MATLAB® Simulation of Various Sliding Mode Control Techniques for Practical Applications.
