bei Google ScholarTitelangaben
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 Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren |
| 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 |