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A Holistic Approach to Part Quality Prediction in Injection Molding Based on Machine Learning by Alexander Schulze Struchtrup; Dimitri Kvaktun; Reinhard Schiffers is a book available to read on EtoBox.

What is A Holistic Approach to Part Quality Prediction in Injection Molding Based on Machine Learning about?

This book gathers the proceedings of the International Symposium on Plastics Technology, which was held on March 10, 2020 in Aachen, Germany, and was organised by the Institute for Plastics Processing (IKV) in Industry and Craft at RWTH Aachen University. Peer-reviewed by an international scientific committee, the conference proceedings comprise the papers presented by the international speakers. Topics covered include - circular economy - extrusion - lightweight technologies - simulation and digitisation - injection moulding - hybrid materials and additive manufacturing. In these fields, key themes for plastics technologies have been identified that will shape the face of research and industry for the next decade. In their contributions, the authors present the latest scientific findings, and discuss topical issues in plastics technologies. The symposium offered an inspiring forum for the exchange on research and innovation, for discussing urgent questions and providing impulses for the future of plastics technology. The Editors University Prof. Dr.-Ing. Christian Hopmann has been Head of the IKV - Institute for Plastics Processing in Industry and Craft at RWTH Aachen University a

Author

Alexander Schulze Struchtrup; Dimitri Kvaktun; Reinhard Schiffers

Publisher

Springer Berlin Heidelberg : Imprint: Springer Vieweg

Published

2020

Language

EN

ISBN

9783662608081

Subjects

Science, Technology, Engineering