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Talks and Poster Presentations (with Proceedings-Entry):

A. Falahati, M. Kumar, M. Just:
"Prediction of yield strength at room temperature for squeeze cast A226";
Talk: ICAA14, Trondheim, Norway; 2014-06-15 - 2014-06-19; in: "Prediction of yield strength at room temperature for squeeze cast A226", Trans Tech Publications Ltd, 794-796 Switzerland (2014), ISSN: 0255-5476; 658 - 663.



English abstract:
Predicting yield strength of the cast is difficult, mainly due to inherent chemical
inhomogeneity of the microstructure and metal matrix composite nature of the cast. In our approach
to predict the yield strength of as cast material AlSi9Cu3(Fe), Scheil-Gulliver model has been used
to calculate the phase fraction and chemical composition of each phase during solidification and at
each temperature step. Inhomogeneity of the microstructure has been taken into account by
considering the evolution of pre-eutectic and eutectic fractions separately. The solidification timetemperature
data and cooling to room temperature are recorded using thermocouples and serve as
input for the thermo-kinetic software "MatCalc", that has been used for Scheil simulation and takes
into account the evolution of microstructure after solidification and during any arbitrary cooling
rate. The strengthening model takes into account the contributions of the intrinsic yield strength of
the aluminum matrix, solid solution strengthening, precipitation hardening, effect of eutectic silicon
portion and dendrite arm spacing size effect. The phases taken into consideration include α-Al,
intermetallics, Si and Cu-rich precipitates. The predicted yield strength values are validated by
comparing with the experimental values. This approach is extendable to calculate yield strength of
the as-cast and heat-treated aluminum alloys.

Keywords:
AlSi9Cu3(Fe), Aluminum Cast, MatCalc, Modeling, Precipitation Kinetics, Squeeze Cast


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.4028/www.scientific.net/MSF.794-796.658


Created from the Publication Database of the Vienna University of Technology.