Recent progress in developing an automated crystallographically-based twin identification and quantification routine, using large sets of spatially correlated electron back-scattered diffraction data, was reviewed. The proposed scheme used information on the most probable twin types and the macroscopic stress state, together with a crystallographic theory of deformation twinning, to identify and classify twinned areas in scanned cross-sections of a material. The key features of the analysis were the identification of potential twin boundaries from their misorientation character, the checking of these boundaries by comparison with actual boundary position and by twin-plane matching across the boundary and calculation of the Schmid factors for the orientations on each side of the boundary. The scheme was expected to permit the quantification of twin area fractions from statistically significant regions, and thereby estimate twinned volume fractions with reasonable reliability.

Advances in Deformation Twin Characterization Using Electron Back-Scattered Diffraction Data. T.A.Mason, J.F.Bingert, G.C.Kaschner, S.I.Wright, R.J.Larsen: Metallurgical and Materials Transactions A, 2002, 32[3A], 949-54