Using deep learning to classify steel materials objectively

Up to now, the size of the microscopic crystallites has been assessed by metallographers by way of visual inspection- a subjective and error-prone method. Researchers at the Fraunhofer Institute for Mechanics of Materials IWM, in collaboration with Schaeffler Technologies AG & Co. KG, have developed a deep learning model that enables objective and automated assessment and determination of the grain size.