Classification of aluminum alloy crystals using deep learning

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Industrial properties of aluminum alloys are usually increased by having additives in a liquid state which leads to crystal grain rene-ment. Conventional methods to conrm the
effect of the miniaturization are binarization of electron microscope images and electron probe micro analyzer ÿEPMAÿ which require enormous man-hours. The purpose of this
research is to establish a method for classifying crystals in signicantly shorter period.

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