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Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer by Yannik Lockner; Paul Buske; Maximilian Rudack; Zahra Kheirandish; Moritz Kröger; Stoyan Stoyanov; Seyed Ruhollah Dokhanchi; Julia Janowitz; Alexander Peitz; Fridtjof Rudolph; Christian Hopmann; Kirsten Bobzin; Hendrik Heinemann; Christian Kalscheuer; Marco Carlet; Wolfgang Schulz is a book available to read on EtoBox.

What is Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer about?

## Abstract Discontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models

Author

Yannik Lockner; Paul Buske; Maximilian Rudack; Zahra Kheirandish; Moritz Kröger; Stoyan Stoyanov; Seyed Ruhollah Dokhanchi; Julia Janowitz; Alexander Peitz; Fridtjof Rudolph; Christian Hopmann; Kirsten Bobzin; Hendrik Heinemann; Christian Kalscheuer; Marco Carlet; Wolfgang Schulz

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031444975

Subjects

Management, Science, Technology