A novel mechanism fusion data control method for slab camber in hot rolling

For asymmetric plate shape, control over the hot rolling process mainly depends on the subjective judgement and personal experience of the operator as there are great deviations and much instability in hot rolling. Unfortunately, the intrinsic mechanisms and sensitivity affecting characteristic parameters and variables in the asymmetric rolling process remain understudied. Therefore, a novel mechanism fusion data control method for slab camber in hot rolling using dimensional analysis and data-driven technique was proposed. The approach of dimensional analysis was used to establish a mathematical model and analyse the main parameters affecting the slab camber of the rough rolling. Subsequently, the established mathematical model combined with the data-driven techniques was employed to accurately predict the slab bending value. Furthermore, the superiority and effectiveness of the proposed model were demonstrated by a comparison with three regression models. Finally, the proposed control strategy was successfully applied in a 1580 mm hot rolling industrial process. The automatic control results show that the hit rate of slab cambers in different sizes from 10 to 30 mm is improved, and the quality stability of intermediate slab is significantly improved.