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The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
The book presents new advances in the field of manufacturing technologies. It focuses on the design and engineering of manufacturing processes; additive manufacturing and reverse engineering; assembly, disassembly and circular processes; system simulation, optimization and digital manufacturing; and materials processing technology. Keywords: Human Robot, Short Term Production Planning, Thermoplastic Composite Components, Compostable Materials, Diffusion Bonding, Superplastic Forming, Hardening Technologies, Physical Simulation Tests, Numerical Model, Dissimilar Material Welding, Additive Manufacturing, Laser Powder Bed Fusion, Fused Deposition Modeling, Laser Sintering, Fused Filament Fabrication, Manufacturing System Laser Welding, Wind Blades, Bandsaw Machine, PVC Tubes, Submerged Arc Welding, Multi-Layered Coatings, Cryogenics, Metal Piercing, Picosecond Laser Processing, Carbon Nanotube; Fiber Reinforced Composites, Tools With Complex Geometry. Carbon/Epoxy Composite, Rheological Additives, PP/flax Fibers, Human Well-being, Extruded Rods & Pipes, Laser Welding, E-mobility, WAAM Process, Glass Fiber.
This book covers the application technology of lasers, focusing more on the vast range of processes than on individual applications, in order to motivate and enable future innovations. The physical basics are presented in the first half of the book. The following examination of application categories and their processes is documented by experts from their practical points of view but always refers back to the underlying physical principles. In this way, readers are free to choose their own individual level of depth in understanding this globally relevant field of innovation. This new edition of Tailored Light 2: Laser Applications birings the book up to date with the latest applications of laster technology.
The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2020) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
This is an open access book. It gathers the first volume of the proceedings of the 31st edition of the International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2022, held on June 19 – 23, 2022, in Detroit, Michigan, USA. Covering four thematic areas including Manufacturing Processes, Machine Tools, Manufacturing Systems, and Enabling Technologies, it reports on advanced manufacturing processes, and innovative materials for 3D printing, applications of machine learning, artificial intelligence and mixed reality in various production sectors, as well as important issues in human-robot collaboration, including methods for improving safety. Contributions also cover strategies to improve quality control, supply chain management and training in the manufacturing industry, and methods supporting circular supply chain and sustainable manufacturing. All in all, this book provides academicians, engineers and professionals with extensive information on both scientific and industrial advances in the converging fields of manufacturing, production, and automation.
The welding process is used by manufacturing companies worldwide. Due to this broad application, many studies have been carried out in various fields to improve the quality and reduce the cost of welded components and structures. Welding is a complex and non-linear physical and mechanistic process. This book relates the importance of automation and control in welding processes, highlights some modern processes, and shows, among other influential welding factors, the importance of metal thermomechanical processing studies.
The focus of this book is to cover the fundamentals, methodological approaches, and diverse applications of smart systems. Smart Systems discusses important topics such as the Internet of Things-enabled smart systems, artificial intelligence, ergonomics, digital twin, and quality assurance frameworks in smart systems. It addresses methodological approaches in diverse sectors such as service, agriculture, product design, and development. This book: Discusses important concepts such as customer satisfaction, product design, and product lifestyle management in a comprehensive manner Presents methodological techniques like optimization approaches, qualitative approaches, and multi-criteria decision-making Examines critical issues, including sustainability, ergonomics, quality assurance, and accuracy Covers the Internet of Things-enabled smart systems and artificial intelligence in smart systems Elaborates on management strategies, and quality assurance framework for smart systems The text is primarily written for senior undergraduate/graduate students, and academic researchers in the fields of mechanical engineering, manufacturing engineering, industrial engineering, production engineering, and aerospace engineering.