An overview of research and development towards establishing a multiscale numerical model of the entire production chain of steel semiproducts is presented. Process steps of continuous casting, hot rolling and heat treatment are considered. The final goal of the modelling is the prediction of the product properties as a function of the process parameters of each process step. This is achieved by the coupled physical models of relations between the process parameters and the product macrostructure, microstructure and the product properties. The physical modelling of the microstructure evolution is complemented, replaced or tuned by the artificial intelligence methods. The process is optimised through minimization of two weighted objective functions: the macroscopic one, taking into account the factors such as process productivity, usage of the machines and use of energy and cooling agents, and the microscopic one, taking into account the product properties as a function of the microstructure. Experimental validation of the models is described. Several simulation and optimisation examples, associated with the production chain in Štore Steel company are shown.
B.04 Guest lecture
COBISS.SI-ID: 889002A new meshless technology of calculating billet grain size and dendritic growth was made in the framework of the doctoral dissertation, supervised by Prof. Šarler. The claculations have been extensively compared with the data from Štore Steel company. The disertation started in the framewrk of EU INSPIRE project and was completed in the framework of the present project.
D.09 Tutoring for postgraduate students
COBISS.SI-ID: 1814267We focus on the simulations in steel industry based on the new meshless technology of computing with radial basis functions in the invited lecture during hosting at the Department of Engineering Mechanics, Hohai University, Nanjing, China. We present simulations and optimizations from the field of solid and fluid mechanics and applications in casting, rolling and heat treatment.
B.05 Guest lecturer at an institute/university
COBISS.SI-ID: 1846011