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 reported. The proposed analysis scheme used information about the most probably occurring twin types and the macroscopic stress state, taken together with the crystallographic theory of deformation twinning, to identify and classify twinned areas in a scanned cross section of a material. The key features of the analysis were identification of potential twin boundaries by their misorientation character, validation of these boundaries through comparison with the actual boundary position and twin-plane matching across the boundary, and calculation of the Schmid factors for the orientations on either side of the boundary. This scheme would permit the quantification of twin area fractions from statistically significant regions and, in turn, estimation of 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, 33[3A], 949-54