Objective
Steel manufacturers are under a growing pressure to improve the yield and the quality of their products. To meet these challenges, highly advanced rolling systems are being applied to new and updated mills. Accurate material models are very important when simulating hot rolling and other forming processes. Though significant improvements have been made in mathematical modelling of rolling processes, the problem is how to control the rolling process optimally in such a way the finished product has the desired microstructure. The aim of the project is to acquire essential metallurgical know-how and to develop hybrid, physical-neural models that predict the variation of mechanical properties across the length and width of the product, in view of obtaining increased homogeneity of hot rolled material, higher mill productivity, lower costs and greater capabilities in meeting market demands.
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
90250 OULU
Finland