Ghulam Abbas – författare

The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies.Features Presents capacity building in machine tool development Discusses engineering design for machine tools Covers prototyping of strategic and non-strategic machine tools Illustrates augmented reality for machine tools Includes Internet of Things (IoT) for machine tools

This book describes capacity building in strategic and non-strategic machine tool technology. It includes machine building in sectors such as machine tools, automobiles, home appliances, energy, and biomedical engineering, along with case studies.The book offers guidelines for capacity building in academia, covering how to promote enterprises of functional reverse engineering enterprises. It also discusses machine tool development, engineering design, prototyping of strategic, and non-strategies machine tools, as well as presenting communication strategies and IoT, along with case studies.Professionals from the CNC (Computer Numeric Control) machine tools industry, industrial and manufacturing engineers, and students and faculty in engineering disciplines will find interest in this book.

This book describes capacity building in strategic and non-strategic machine tool technology. It includes machine building in sectors such as machine tools, automobiles, home appliances, energy, and biomedical engineering, along with case studies.The book offers guidelines for capacity building in academia, covering how to promote enterprises of functional reverse engineering enterprises. It also discusses machine tool development, engineering design, prototyping of strategic, and non-strategies machine tools, as well as presenting communication strategies and IoT, along with case studies.Professionals from the CNC (Computer Numeric Control) machine tools industry, industrial and manufacturing engineers, and students and faculty in engineering disciplines will find interest in this book.

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.

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.

The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies.Features Presents capacity building in machine tool development Discusses engineering design for machine tools Covers prototyping of strategic and non-strategic machine tools Illustrates augmented reality for machine tools Includes Internet of Things (IoT) for machine tools

With the advent of the 4th Industrial Revolution, the implementation of the nine pillars of technology has taken a firm root, especially after the post-COVID pandemic era. The integration of cyber-physical systems is one of the most important pillars that has led to the maximization of productivity, which also leads to the maximization of profits from a manufacturing system. This book discusses manufacturing enterprises, then looks at the theoretical and practical aspects of integrating these manufacturing systems using legacy and modern communication methodologies and relates them to the current level of technology readiness.Integration of Heterogenous Manufacturing Machinery in Cells and Systems: Policies and Practices focuses on the methods covering the use of Artificial Intelligence, Augmented Reality, the Internet of Things, and cellular and physical industrial communication. It describes the nine pillars of technology which include the Internet of Things, Cloud Computing, Autonomous, and Robotics Systems, Big Data Analytics, Augmented Reality, Cyber Security, Simulation, System integration, and Additive Manufacturing. The book highlights the methods used that cover mechanical, electrical, electronics, and computer software aspects of developing manufacturing machinery and discusses computer-aided design (CAD), production planning, and manufacturing, as well as production databases with basics and semantics. This book is an ideal reference for undergraduate, graduate, and postgraduate students of industrial, manufacturing, mechanical, and mechatronics engineering, along with professionals and general readers.

With the advent of the 4th Industrial Revolution, the implementation of the nine pillars of technology has taken a firm root, especially after the post-COVID pandemic era. The integration of cyber-physical systems is one of the most important pillars that has led to the maximization of productivity, which also leads to the maximization of profits from a manufacturing system. This book discusses manufacturing enterprises, then looks at the theoretical and practical aspects of integrating these manufacturing systems using legacy and modern communication methodologies and relates them to the current level of technology readiness.Integration of Heterogenous Manufacturing Machinery in Cells and Systems: Policies and Practices focuses on the methods covering the use of Artificial Intelligence, Augmented Reality, the Internet of Things, and cellular and physical industrial communication. It describes the nine pillars of technology which include the Internet of Things, Cloud Computing, Autonomous, and Robotics Systems, Big Data Analytics, Augmented Reality, Cyber Security, Simulation, System integration, and Additive Manufacturing. The book highlights the methods used that cover mechanical, electrical, electronics, and computer software aspects of developing manufacturing machinery and discusses computer-aided design (CAD), production planning, and manufacturing, as well as production databases with basics and semantics. This book is an ideal reference for undergraduate, graduate, and postgraduate students of industrial, manufacturing, mechanical, and mechatronics engineering, along with professionals and general readers.

This book addresses the digital twinning of manufacturing processes, cells, and systems and attempts to bring in the basic characteristics of the Fourth Industrial Revolution along with an emphasis on cyber-physical systems.Digital Twinning for Discrete Manufacturing discusses how to maximize the use of the pillars of Industry 4.0 and 5.0 in discrete manufacturing. It presents how digital twinning has a very special characteristic that can be applied in the training of novice workers on expensive equipment. The book explains how digital twinning of laboratory industrial equipment is cheap to build and can be used to train workers on intricate machinery with real involvement, without any injury to workers or damage to the machines. The book also portrays the full scope of digital twinning based on AR/VR with a physical interface to real machinery.Digital twinning is currently an advanced topic that is of interest to researchers, postgraduates, graduates, senior undergraduates, as well as professionals.

Further contents include integration of climate models and crop models for refining the decisions for sustaining the production of various cropping systems for climate smart agriculture.