modeling advanced control process (8 Ergebnisse)

Hardcover. 297 S. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel in GUTEM Zustand. Kaum Gebrauchsspuren. 3540198814 Sprache: Englisch Gewicht in Gramm: 550.

Paperback. Zustand: Brand New. 308 pages. 9.25x6.10x0.71 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Due to the complexity of the process operation and the requirements for high quality, low cost, safety and the protection of the environment, an increasing number of pulp and paper companies are in need of an advanced control technology to improve their process operation. This publication presents, for the first time, the theory of such an advanced control technology as well as various industrial applications associated especially with Paper Making. The reader will gain a better understanding of the most popular and advanced process control techniques and applications of these techniques in an important real-time process industry. The contents are based on the authors' own research on modeling and advanced control in this field.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a timely snapshot of human factors research and methods fostering a better integration of technologies and humans during the whole manufacturing cycle, giving a special emphasis to the quality and safety of the industrial environment for workers, the efficiency of the manufacturing processes itself, the quality of the final product, and its distribution to and use by the customers. It discusses timely issues relating to the automation of the manufacturing processes, and the challenges imposed by the implementation of industry 4.0, additive manufacturing and 3D printing technologies. Contributions cover a range of industrial sectors, such as the automotive, health and constructions ones, highlighting both organizational and engineering solutions fostering sustainability, globalization, customization, workers' well-being and consumers' satisfaction, among other issues. Based on the AHFE 2021 Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, held virtually on 25-29 July, 2021, from USA, this book, which merges ergonomic research and technical know-how in the field of manufacturing and product design, addresses a wide range of engineers, designers and professionals, dealing with the integration of technologies and humans in the factories of the future.

Buch. Zustand: Neu. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing 2V Set | Y. A. Liu (u. a.) | Buch | 880 S. | Englisch | 2023 | Wiley-VCH | EAN 9783527352678 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the latest advances in the broadly defined field of advanced manufacturing and process control. It reports on cutting-edge strategies for sustainable production and product life cycle management, and on a variety of people-centered issues in the design, operation and management of manufacturing systems and processes. Further, it presents digital modeling systems and additive manufacturing technologies, including advanced applications for different purposes, and discusses in detail the implementation of and challenges imposed by 3D printing technologies. Based on three AHFE 2020 Conferences (the AHFE 2020 Virtual Conference on Human Aspects of Advanced Manufacturing, the AHFE 2020 Virtual Conference on Advanced Production Management and Process Control and the AHFE 2020 Virtual Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, the book merges ergonomics research, design applications, and up-to-date analyses of various engineering processes. It brings together experimental studies, theoretical methods and best practices, highlights future trends and suggests directions for further technological developments and the improved integration of technologies and humans in the manufacturing industry.

Buch. Zustand: Neu. Neuware - Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin ManufacturingDetailed resource on the 'Why,' 'What,' and 'How' of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing.Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice.Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on:\* Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling\* Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber)\* Improved polymer process operability and control through steady-state and dynamic simulation models\* Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturingIntegrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.