Machine Tools
An Industry 4.0 Perspective
1st Edition
Published on 2. February 2023
226 pages
978-1-000-82754-5 (ISBN)
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.
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.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
19 Tables, black and white; 56 Line drawings, black and white; 23 Halftones, black and white; 79 Illustrations, black and white
ISBN-13
978-1-000-82754-5 (9781000827545)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
11/2024
1st Edition
CRC Press
€74.30
Shipment within 10-20 days
Book
02/2023
1st Edition
CRC Press
€186.00
Shipment within 10-20 days
Persons
Professor Dr. Wasim A. Khan has researched and developed industrial scale subtractive and additive manufacturing machine tools, measurement, and testing machines as well as digital controllers for this equipment. He is instrumental in policies and framework development related to manufacturing of discrete products in small, medium, and large-scale manufacturing enterprises at national level. Dr. Wasim is a life member of Pakistan Engineering Council, a chartered engineer of Engineering Council, UK and a fellow of Institution of Mechanical Engineers, UK. He is also a senior member of IEEE, USA. He is currently acting as Professor and Pro-Rector (Academics) at the GIK Institute of Engineering Sciences and Technology, Pakistan.
Dr. Khalid Rahman is an Associate Professor in the Faculty of Mechanical Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology where he has been a faculty member since 2012. He received his BS in Mechanical Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, MS and PhD degree from Jeju National University, South Korea in 2012. He also has industrial experience of seven years in design and manufacturing. His research interests include printing technologies, and he is currently working on Direct Ink Write and Electrohydrodynamic inkjet printing for fabrication of electronics devices and sensors and applications.
Professor Dr. Ghulam Hussain is a professor of mechanical engineering at the University of Bahrain, Bahrain. He has a rich experience of both academia and industry. He is an expert of manufacturing technologies with expertise in plasticity, sustainability, and advanced processes including 3D printing, incremental forming, friction welding and hybridization. He is the author of over 100 top-notch journal articles and an editor of several books. He is recognized among the top 10 leading researcher at the international as well as national level. He has been ranked as a world's top 2% scientist by the Stanford University, USA. He is the winner of many research and teaching awards/prizes. He is actively involved with several reputed international universities as a foreign expert and external researcher.
Dr. Ghulam Abbas received the B.S. degree in computer science from University of Peshawar, Pakistan, in 2003, and the M.S. degree in distributed systems and the Ph.D. degree in computer networks from the University of Liverpool, U.K., in 2005 and 2010, respectively. From 2006 to 2010, he was Research Associate with Liverpool Hope University, U.K., where he was associated with the Intelligent & Distributed Systems Laboratory. Since 2011, he has been with the Faculty of Computer Sciences & Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan. He is currently working as Associate Professor and Director Huawei ICT Academy. Dr. Abbas is a Co-Founding Member of the Telecommunications and Networking Research Center at GIK Institute. He is a Fellow of the Institute of Science & Technology, U.K., a Fellow of the British Computer Society, and a Senior Member of the IEEE. His research interests include computer networks and wireless and mobile communications.
Professor Dr. Wang Xiaoping is a professor at college of Electrical and Mechanical Engineering, Nanjing University of Aeronautics and Astronautics, a senior member of Chinese Mechanical Engineering Association, a senior member of Aeronautical Society, a guest editor of international journal IJCAT, an editorial board member of American Journal of Software Engineering and Applications, and an evaluation expert of postgraduate dissertation of Ministry of Education. His main research areas include digital design and manufacturing, and intelligent manufacturing. The current research interests are reverse engineering, aerial measurement, geodetic model reconstruction (3D reconstruction); composite material fiber laying process / robot road planning; NC machining tool rail planning / material reduction and material increase manufacturing path optimization; CAD software system integration and algorithm; mathematical modeling; Other theoretical and technical issues related to mechanical design and manufacturing. He has executed several research projects funded by national agencies. He is also winner of 3 National Defense Science and Technology Progress Awards, 1 Provincial Award and 1 Municipal Award. He has published more than 80 research articles in renowned journals and has 2 patents to his credit.
Dr. Khalid Rahman is an Associate Professor in the Faculty of Mechanical Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology where he has been a faculty member since 2012. He received his BS in Mechanical Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, MS and PhD degree from Jeju National University, South Korea in 2012. He also has industrial experience of seven years in design and manufacturing. His research interests include printing technologies, and he is currently working on Direct Ink Write and Electrohydrodynamic inkjet printing for fabrication of electronics devices and sensors and applications.
Professor Dr. Ghulam Hussain is a professor of mechanical engineering at the University of Bahrain, Bahrain. He has a rich experience of both academia and industry. He is an expert of manufacturing technologies with expertise in plasticity, sustainability, and advanced processes including 3D printing, incremental forming, friction welding and hybridization. He is the author of over 100 top-notch journal articles and an editor of several books. He is recognized among the top 10 leading researcher at the international as well as national level. He has been ranked as a world's top 2% scientist by the Stanford University, USA. He is the winner of many research and teaching awards/prizes. He is actively involved with several reputed international universities as a foreign expert and external researcher.
Dr. Ghulam Abbas received the B.S. degree in computer science from University of Peshawar, Pakistan, in 2003, and the M.S. degree in distributed systems and the Ph.D. degree in computer networks from the University of Liverpool, U.K., in 2005 and 2010, respectively. From 2006 to 2010, he was Research Associate with Liverpool Hope University, U.K., where he was associated with the Intelligent & Distributed Systems Laboratory. Since 2011, he has been with the Faculty of Computer Sciences & Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan. He is currently working as Associate Professor and Director Huawei ICT Academy. Dr. Abbas is a Co-Founding Member of the Telecommunications and Networking Research Center at GIK Institute. He is a Fellow of the Institute of Science & Technology, U.K., a Fellow of the British Computer Society, and a Senior Member of the IEEE. His research interests include computer networks and wireless and mobile communications.
Professor Dr. Wang Xiaoping is a professor at college of Electrical and Mechanical Engineering, Nanjing University of Aeronautics and Astronautics, a senior member of Chinese Mechanical Engineering Association, a senior member of Aeronautical Society, a guest editor of international journal IJCAT, an editorial board member of American Journal of Software Engineering and Applications, and an evaluation expert of postgraduate dissertation of Ministry of Education. His main research areas include digital design and manufacturing, and intelligent manufacturing. The current research interests are reverse engineering, aerial measurement, geodetic model reconstruction (3D reconstruction); composite material fiber laying process / robot road planning; NC machining tool rail planning / material reduction and material increase manufacturing path optimization; CAD software system integration and algorithm; mathematical modeling; Other theoretical and technical issues related to mechanical design and manufacturing. He has executed several research projects funded by national agencies. He is also winner of 3 National Defense Science and Technology Progress Awards, 1 Provincial Award and 1 Municipal Award. He has published more than 80 research articles in renowned journals and has 2 patents to his credit.
Content
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 (R) Simulation of Various Sliding Mode Control Techniques for Practical Applications.
