"A novel strategy based on machine learning of selective cooling contro" by Pengfei Wang, Jinkun Deng et al.
Precise selective cooling control of work roll can significantly improve the cold rolled strip flatness in steel manufacturing industry. To improve the control accuracy of the coolant output of selective work roll cooling control system, a machine learning (ML) algorithm with differential evolution-gray wolf algorithm optimization support vector machine regression (DE-GWO-SVR) model has been proposed for the first time in this study. This model combines the differential evolution (DE) with grey ...
Cold Rolling Process Machine Learning Model Elective Work Roll Cooling Teel Manufacturing Trip Flatness
Source: uow.edu.au