42. Influence of Al Content (<3%) on the Extrusion Limit Diagram

  1. Prof. Dr. K. U. Kainer
  1. Matthew R. Barnett1,
  2. Ji-Yong Yao2 and
  3. Chris Davies3

Published Online: 22 APR 2005

DOI: 10.1002/3527603565.ch42

Magnesium: Proceedings of the 6th International Conference Magnesium Alloys and Their Applications

Magnesium: Proceedings of the 6th International Conference Magnesium Alloys and Their Applications

How to Cite

Barnett, M. R., Yao, J.-Y. and Davies, C. (2003) Influence of Al Content (<3%) on the Extrusion Limit Diagram, in Magnesium: Proceedings of the 6th International Conference Magnesium Alloys and Their Applications (ed K. U. Kainer), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527603565.ch42

Editor Information

  1. GKSS-Forschungszentrum, Institut für Werkstoffforschung, Max-Planck-Straße, 21502 Geesthacht, Germany

Author Information

  1. 1

    Deakin University, Geelong, VIC, Australia

  2. 2

    University of Queensland, Brisbane, QLD, Australia

  3. 3

    Monash University, Clayton, VIC, Australia

Publication History

  1. Published Online: 22 APR 2005
  2. Published Print: 27 NOV 2003

ISBN Information

Print ISBN: 9783527309757

Online ISBN: 9783527603565

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Keywords:

  • wrought magnesium alloys;
  • extrusion limit diagram

Summary

One of the impediments to the uptake of wrought magnesium alloys has been their perceived poor forming characteristics when compared to aluminium. Extrusion speeds for magnesium are typically quoted as between 2/3 and 1/3 that of aluminium [1], with a concomitant reduction in productivity. However, it is also apparent that the extrusion of magnesium alloys and the alloys themselves have not been optimised. With CAFE (Corporate Average Fuel Economy) legislation in the US and EU for fuel economy there is an opportunity for the weight reduction of motor vehicle components which takes advantage of the optimised processing of wrought magnesium. This paper describes a methodology which allows us to evaluate wrought alloys and their processing based on laboratory-scale testing coupled with simulation and modelling.