2021 Nashville AISTech

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Investigation on Softening/Hardening Mechanisms Occurring During the Hot Rolling Process by Means of Advanced, Self-Training Virtual Smart Sensors (Room Virtual)

28 Jun 21
7:30 AM - 8:00 AM

Tracks: Virtual Program - Metallurgy

Virtual sensors were developed that allow for the measurement of the evolution of microstructure in the longitudinal direction and the quantitative study of the softening phenomena that occur during the hot deformation or the static and dynamic recrystallization and the dynamic recovery as a function of the chemical composition and temperature. The innovative element of the paper is the development of a new methodology to control the hot rolling process microstructure evolution of high-strength steel strip/plate on-line by implementing virtual sensors based on self-training mathematical models. The validation of model predictions was carried out through laboratory and industrial tests.