This book presents a collection of quality chapters on the state-of-the-art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The first section presents a broad-based review of several key areas of research in smart devices and machines. The second section is focused on presenting an in-depth treatment of a particular device or machine. The book will be of interest to a broad readership.
This book presents a collection of quality chapters on the state-of-the-art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The first section presents a broad-based review of several key areas of research in smart devices and machines. The second section is focused on presenting an in-depth treatment of a particular device or machine. The book will be of interest to a broad readership.
Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key applications of these new methods, as well as practitioners' accounts of real-life applications and case studies. Written by thought leaders in the field from around the world, Smart Manufacturing: Applications and Case Studies is essential reading for graduate students, researchers, process engineers and managers. It is complemented by a companion book titled Smart Manufacturing: Concepts and Methods, which describes smart manufacturing methods in detail. - Includes examples of applications of smart manufacturing in process industries - Provides a thorough overview of the subject and practical examples of applications through well researched case studies - Offers insights and accounts of first-hand experiences to motivate further implementations of the key concepts of smart manufacturing
This book presents selected papers from the 1st International Conference on Industry 4.0 and Advanced Manufacturing held at the Indian Institute of Science, Bangalore and includes deliberations from stakeholders in manufacturing and Industry 4.0 on the nature, needs, challenges, opportunities, problems, and solutions in these transformational areas. Special emphasis is placed on exploring avenues for creating a vision of, and enablers for, sustainable, affordable, and human-centric Industry 4.0. The book showcases cutting edge practice, research, and educational innovation in this crucial and rapidly evolving area. This book will be useful to researchers in academia and industry, and will also be useful to policymakers involved in creating ecosystems for implementation of Industry 4.0.
This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.
Advanced manufacturing technologies (AMTs) combine novel manufacturing techniques and machines with the application of information technology, microelectronics and new organizational practices within the manufacturing sector. They include "hard" technologies such as rapid prototyping, and "soft" technologies such as scanned point cloud data manipulation. AMTs contribute significantly to medical and biomedical engineering. The number of applications is rapidly increasing, with many important new products now under development. Advanced Manufacturing Technology for Medical Applications outlines the state of the art in advanced manufacturing technology and points to the future development of this exciting field. Early chapters look at actual medical applications already employing AMT, and progress to how reverse engineering allows users to create system solutions to medical problems. The authors also investigate how hard and soft systems are used to create these solutions ready for building. Applications follow where models are created using a variety of different techniques to suit different medical problems One of the first texts to be dedicated to the use of rapid prototyping, reverse engineering and associated software for medical applications Ties together the two distinct disciplines of engineering and medicine Features contributions from experts who are recognised pioneers in the use of these technologies for medical applications Includes work carried out in both a research and a commercial capacity, with representatives from 3 companies that are established as world leaders in the field – Medical Modelling, Materialise, & Anatomics Covers a comprehensive range of medical applications, from dentistry and surgery to neurosurgery and prosthetic design Medical practitioners interested in implementing new advanced methods will find Advanced Manufacturing Technology for Medical Applications invaluable as will engineers developing applications for the medical industry. Academics and researchers also now have a vital resource at their disposal.
This handbook brings together technical expertise, conceptual background, applications, and societal aspects of Industry 4.0: the evolution of automation and data exchange in fabrication technologies, materials processing, and device manufacturing at both experimental and theoretical model scales. The book assembles all the aspects of Industry 4.0, starting from the emergence of the concept to the consequences of its progression. Drawing on expert contributors from around the world, the volume details the technologies that sparked the fourth revolution and illustrates their characteristics, potential, and methods of use in the industrial and societal domains. In addition, important topics such as ethics, privacy and security are considered in a reality where all data is shared and saved remotely. The collection of contribution serve a very broad audience working in the fields of science and engineering, chemical engineering, materials science, nanotechnology, energy, environment, green chemistry, sustainability, electrical and electronic engineering, solid-state physics, surface science, aerosol technology, chemistry, colloid science, device engineering, and computer technology. This handbook ideal reference libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists.
This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.
The field of manufacturing over the years has seen the introduction of new and innovative technologies for enhancing output, increasing quality and reducing material inventory. This textbook discusses fundamental concepts, principles, technologies and applications of advanced manufacturing processes. It comprehensively discusses key manufacturing technologies including reconfigurable manufacturing processes, computer integrated manufacturing processes, agile manufacturing processes, cellular manufacturing processes, rapid prototyping and flexible manufacturing processes. This book: Discusses rapid prototyping techniques in detail Covers automation systems and their techniques Examines issues related to reconfigurable manufacturing processes, flexible manufacturing processes and agile manufacturing processes Discusses actuators and sensors, industrial robots, lean production, comparison of lean and agile and rapid prototyping techniques Covers matrix approach techniques to understand the barriers index value The textbook is primarily written for senior undergraduate and graduate students in the field of mechanical engineering, industrial and production engineering.
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
