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Advances in Manufacturing II
This book covers a variety of topics in manufacturing, with a special emphasis on product design, production planning, and implementation of both resources and production processes. The content is based on papers presented at the 6th International Scientific Technical Conference MANUFACTURING 2019, held in Poznan, Poland on May 19-22, 2019. The main focus is on showing best practices to use tools currently available in the enterprises to effectively improving industrial processes. Knowledge and production flow management, decision-making systems, production leveling, enterprise efficiency, as well as maintenance, modeling and simulation of production processes are just some of the topics discussed in this book, which offers a timely and practice-oriented reference guide for applied researchers, product engineers and product managers.
Computational and Experimental Simulations in Engineering
This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 24th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Tokyo, Japan on March 25-28, 2019. ICCES covers all aspects of applied sciences and engineering: theoretical, analytical, computational, and experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the book discusses highly diverse topics, including composites; bioengineering & biomechanics; geotechnical engineering; offshore & arctic engineering; multi-scale & multi-physics fluid engineering; structural integrity & longevity; materials design & simulation; and computer modeling methods in engineering. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
Soft Modeling in Industrial Manufacturing
This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.
Advances in Manufacturing III
This book reports on cutting-edge research and technology aimed at increasing the efficiency of production processes and to foster the implementation of Industry 4.0 solutions in manufacturing. Gathering peer-review contributions to the 7th International Scientific Technical Conference MANUFACTURING 2022, held in Poznan, Poland on May 16-19, 2022, it describes advanced engineering methods to optimize different stages and aspects of the production process, including product design, production scheduling, equipment maintenance and safety. It discusses the applications of augmented/virtual and mixed reality within the manufacturing industry and for education and training purposes, and highlights cutting-edge solutions for green and sustainable production. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to contribute bridging the gap between university and industry, fostering a closer communication and cooperation between them.
Advances in Manufacturing III
This book covers a variety of topics at the interface between biomedical engineering and manufacturing. Based on peer-review papers presented at the 7th International Scientific-Technical Conference MANUFACTURING 2022, held in Poznan, Poland on May 16-19, 2022, it focuses on cutting-edge issues relating to 3D printing of medical devices, including custom manufacturing of orthopedic aids, optimization of their manufacturing process, 3D and numerical models supporting prostheses development and surgical simulation, and discusses the applications of different quality control methods in the healthcare industry. This book offers a timely guide to engineers and other professionals dealing with production and testing of medical devices in the era of industry 4.0.
Advances in Manufacturing III
This book gathers timely contributions on metrology and measurement systems, across different disciplines and fields of applications. The chapters, which were presented at the 7th International Scientific-Technical Conference, MANUFACTURING 2022, held on May 16-19, 2022, in Poznan, Poland, cover cutting-edge research and best-practices concerning the use of optical, computed tomographic, and coordinate metrology systems to assess the fidelity of 3D printing processes and products. They discuss strategies for automating, and for improving the effectiveness of quality control and measuring processes. All in all, this book provides both researchers and practitioners with a timely guide on cutting-edge measuring systems supporting the development of modern and additive manufacturing in the context of industry 4.0.
Measurement and Quality Control of Processes and Products in Manufacturing and Enterprise
Special topic volume with invited papers only.
Advances in Manufacturing III
This book reports on innovative strategies for quality control, risk assessment and sustainable development in production processes, in the era of industry 4.0. Based on peer-reviewed contributions to the 7th International Scientific-Technical Conference MANUFACTURING 2022, held on May 16–19, 2022, in Poznan, Poland, the chapters cover important topics relating to the use of quality management strategies in different stages of the production processes. They report on methods for statistical process control, vision control and inspection of machines, on the application of machine learning methods in quality control and/or risk assessment, on issues relating to digital transformation, and on methods to improve occupational safety. Besides industrial applications, the book also discusses the use quality management tools for educational purposes. By bridging between concepts in quality engineering, ergonomics, digitalization and industry 4.0, this book offers an authoritative source of information for researchers, engineers and managers.
