Štore Steel ltd faces a problem of production of a huge amount (approximately 1400) of different steel compositions in a relatively small quantities (approximately 15 tons). This production is performed in batches of predetermined quantities (50-53 tons). The purpose of this paper is to present the methodology for optimizing the production of predetermined steel grades in predetermined quantities before a customer's set deadline in such a way as to reduce the non-planned and ordered quantities with the date before the deadline and minimize the number of batches. The genetic algorithm was used for the optimization. The results of the research have been used in practice since 2006 with reducing the non-planned and ordered quantities from 17.17% up to 10.12% since then.
COBISS.SI-ID: 1817595
We describe an entirely new generation of the meshless methods for stochastic modelling of microstructure formation in this book chapter. The method is based on the discretisation based on randomly distributed nodes and not on the basis of polygons like in the classical cellular automata method. Higher discretisation flexibility and indepenedence of the results with respect to the orientation of the discretisation is achieved. An important consequence of this approach is independence of the shape of the dendritic structures as a function of the position of the crystallographic angles. We apply the method to multiple dendritic growth in steel.
COBISS.SI-ID: 1857531
We describe a model of the hot rolling of steel, developed for Štore Steel company in the paper, that appeared in the Proceedia Engineering Journal after selection from presentations at the elite world conference on the mechanical behaviour of materials. The model of hot rolling consists of the coupled thermal model, mechanical model and model for node positioning and manipulation. We present rolling of rectangular steel billet to circular bar.
COBISS.SI-ID: 1958907