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Correlation of Grain Statistics with various Properties on Industrial Alloys

Fig. 1.1: Pattern Quality Map depicting the microstructure of a Ni-alloy sample with a bimodal distribution of grain sizes; map was acquired using eFlash XS EBSD detector mounted on JSM IT200 SEM

One of the most important benefits of EBSD technique is the output of reliable grain statistics; for example average diameter size and distribution. This can be correlated with various properties of the analyzed material, hardness, strength and plasticity/formability. ESPRIT 2 software detects grains using misorientation and size criteria and calculates automatically the mean equivalent diameter size using area weighted and arithmetic mean methods. Grain size and shape statistics are complemented by a multitude of subsetting options to create powerful microstructure quantification tools which support scientists and engineers in the process of understanding and/or predicting materials properties.