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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.
Major contribution of this chapter is to guide the reader regarding the simulation of various sliding mode controllers using MATLAB. This has been accomplished with the help of solved examples for which the MATLAB code has been provided in the appendix. The control laws and relevant dynamics of the system to be controlled (where applicable) are provided. The details of “why” the controller works have been left out but the interested readers may refer the references cited in various sections of this chapter. Despite many of the sliding mode control approaches not being discussed in this chapter, the chapter still provides value for the reader in getting started on the conceptualization and MATLAB simulation of various sliding mode controller design schemes. Once the reader is familiarized with the control schemes and the corresponding MATLAB codes discussed in this chapter, self-learning can be employed in enhancing the knowledge bank and understanding the latest variations and improvements in the mainstream control design methods.
This book is an ideal reference for undergraduate, graduate, and postgraduate students of industrial, mechanical, and mechatronics engineering, along with professionals, and general readers.
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