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Journal of Intelligent Material Systems and Structures
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Transformation Surfaces of a Textured Pseudoelastic Polycrystalline Cu-Zn-Al Shape Memory Alloy

Douglas Aleong

GWW School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA USA

Cyril Dumont

Laboratoire de Physique et Mécanique des Matériaux, UMR CNRS 7554, ENSAM, Metz, France

Shabnam Arbab Chirani

Laboratoire de Physique et Mécanique des Matériaux, UMR CNRS 7554, ENSAM, Metz, France

Etienne Patoor

Laboratoire de Physique et Mécanique des Matériaux, UMR CNRS 7554, ENSAM, Metz, France

David L. McDowell

GWW School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA USA

Pseudoelasticity is a useful regime of behavior for industrial applications of shape memory alloys. The complexity of the physical phenomena of pseudoelastic shape memory behavior requires micromechanical methods of scale transition to model at higher length scales using crystallographic information. Using a self-consistent model to transition from single crystal to polycrystal behavior, we present results for computed surfaces of constant effective transformation strain for random, drawn, tension, compression and rolled textures of a polycrystalline Cu-Zn-Al shape memory alloy in the pseudoelastic regime. These results are relevant to the development of macroscopic transformation surfaces in stress space. A feature of the results is that normality of transformation strain rate to surfaces of constant macroscopic transformation strain is observed for the most part, apart from regions of high curvature that bridge different segments of the transformation surface.

Key Words: shape memory • texture • polycrystal

Journal of Intelligent Material Systems and Structures, Vol. 13, No. 12, 783-793 (2002)
DOI: 10.1177/1045389X02013012004
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