Numerical Modelling of Powder Metallurgy Processes
- Prof. J. V. Wood2,
- Prof. Dr. L. Schultz3 and
- Prof. Dr. D. M. Herlach4
Published Online: 25 APR 2006
Copyright © 2000 Wiley-VCH Verlag GmbH
Materials Development and Processing - Bulk Amorphous Materials, Undercooling and Powder Metallurgy, Volume 8
How to Cite
Baccino, R., Féderzoni, L. and Moret, F. (2000) Numerical Modelling of Powder Metallurgy Processes, in Materials Development and Processing - Bulk Amorphous Materials, Undercooling and Powder Metallurgy, Volume 8 (eds J. V. Wood, L. Schultz and D. M. Herlach), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527607277.ch39
University of Nottingham, Division of Materials, Nottingham NG7 2RD, United Kingdom
Institut für Festkorper- und Werkstofforschung Dresden e.V., Postfach 270016, 01171 Dresden, Germany
Deutsches Zentrum für Luft- und Raumfahrt e.V., Linder Hohe, 51170 Köln, Germany
- Published Online: 25 APR 2006
- Published Print: 27 JUN 2000
Print ISBN: 9783527301935
Online ISBN: 9783527607273
- powder metallurgy processes;
- numerical modeling
Powder metallurgy (P/M) processes are widely used to manufacture metallic or ceramic net shape parts. In order to help to optimize these processes (in particular die compaction, sintering and hot isostatic pressing), CEA-CEREM has developed a computer assisted design and modelling tool named PRECAD®. In the case of hot isostatic pressing (HIP), this tool is used to optimize the design of the initial mould in order to obtain a very accurate part after compaction.
In the case of die compaction, it can be used to optimize toolings (die, punches) geometries and pressing sequences in order to:
a) increase parts accuracy and thus limit post-sintering operations (sizing or machining)
b) decrease the percentage of rejected parts due to the presence of cracks.
This tool has been fully validated on real parts in the case of HIP (ISOPREC® process) and is now industrially used. An accuracy of ± 50 μm between simulated and manufactured geometries is obtained. Prediction of the relative density is better than 1%.
All aspects of PRECAD® are presented in this paper with several industrial examples of applications for the different P/M processes.