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Developing a learning factory to increase resource efficiency in composite manufacturing processes

Titelangaben

Böhner, Johannes ; Weeber, Max ; Kübler, Frank ; Steinhilper, Rolf:
Developing a learning factory to increase resource efficiency in composite manufacturing processes.
In: Procedia CIRP. Bd. 32 (2015) . - S. 64-69.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2015.05.003

Abstract

Learning factories serve as platforms to ensure research findings are disseminated into industrial practice. A critical success factor for an effective technology transfer via a platform is the definition of a representative process chain. Due to the increasing demand for lightweight
components in automotive industry, established materials like steel are partially substituted by composites materials. Hence the Green Factory Bavaria was established as learning factory to demonstrate energy efficient manufacturing processes for composites. This paper contains the process and workpiece definition necessary to ensure a wide transferability of research results into various industries. Using the developed methodologies of flexible measurement concepts and machine upgrading, suitable efficiency measures are integrated in a learning concept. The obtained energy savings are discussed for selected process steps like cutting, cleaning and assembly technologies.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: energy- and resource efficiency; sustainability in manufacturing; composite material; lightweight design; game-based learning
Institutionen der Universität: Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren > Lehrstuhl Umweltgerechte Produktionstechnik - Univ.-Prof. Dr.-Ing. Rolf Steinhilper
Fakultäten
Fakultäten > Fakultät für Ingenieurwissenschaften
Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Umweltgerechte Produktionstechnik
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 15 Feb 2017 09:17
Letzte Änderung: 15 Feb 2017 09:17
URI: https://eref.uni-bayreuth.de/id/eprint/35014