at Google ScholarTitle data
Böhner, Johannes ; Weeber, Max ; Kübler, Frank ; Steinhilper, Rolf:
Developing a learning factory to increase resource efficiency in composite
manufacturing processes.
In: Procedia CIRP.
Vol. 32
(2015)
.
- pp. 64-69.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2015.05.003
Abstract in another language
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.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | energy- and resource efficiency; sustainability in manufacturing; composite material; lightweight design; game-based learning |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Former Professors > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology Faculties > Faculty of Engineering Science > Former Professors |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 15 Feb 2017 09:17 |
| Last Modified: | 15 Feb 2017 09:17 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/35014 |