Table of Contents
Textures and Microstructures
Volume 26–27
http://dx.doi.org/10.1155/TSM.26-27.599

A Variant Selection Model for the Prediction of Fcc-To-Bcc Transformation Textures

1McGill University, Department of Metallurgical Engineering 3450 University Street, Montreal, Quebec H3A 2A7, Canada
2Instituto Militar de Engenharia - IME, DE/4 Pça. Gen. Tiburcio, 80 Urca, Rio de Janeiro, RJ 22290-270, Brazil

Received 14 February 1996

Copyright © 1996 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the present work, a simple model is described for the prediction of fcc-to-bcc transformation textures. It employs a discrete distribution of orientations and is based on the Kurdjumov-Sachs relationship for the γ-to-α transformation. An important feature of the model involves the variant selection rule, which assumes that nucleation is favoured according to a slip system based variant selection criterion. Subsequent selective growth involves a transformation work rule based on the Bain strains and the presence of an internal stress field. The transformation texture predicted from an experimental 95% cold rolled Ni-30wt%Co alloy texture is compared to experimental martensite textures for both a Nb-microalloyed steel and a Fe-30%Ni alloy. The predicted texture displays better agreement with the steel data.