Developing a Learning Factory to Increase Resource Efficiency in Composite Manufacturing Processes

Published Date
Procedia CIRP
2015, Vol.32:64–69, doi:10.1016/j.procir.2015.05.003
5th Conference on Learning Factories
Open Access, Creative Commons license

• Author 

• Johannes Böhner ^,
• Max Weeber
• Frank Kuebler
• Rolf Steinhilper

• Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Project Group Process Innovation at Bayreuth University, Universitaetsstrasse 30, D-95447 Bayreuth, Germany

Received 15 January 2015. Revised 26 May 2015. Accepted 26 May 2015. Available online 22 June 2015. 

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.

Keywords

energy- and resource efficiency

sustainability in manufacturing

composite material

lightweight design

game-based learning.

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• ☆
  Peer-review under responsibility of the organizing committee of 5th Conference on Learning Factories (CLF 2015).

• ⁎ 
  Corresponding author. Tel.: +49 921 55 7514; fax: +49 921 55 7305.

Copyright © 2015 The Authors. Published by Elsevier B.V.

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