EUROPEAN STEEL TECHNOLOGY AND APPLICATION DAYS 2017 - ESTAD 2017

Beside computational intensive methods like CFD or FEM, reduced modelling approaches for technical process may be more practical, especially in production environments. A modelling approach, which can be applicable for industrial processes to predict the heating of products, semi-finished materials or raw materials, will be shown. To derive such models many different approaches, depending on the requirements of the model, can be used. Typical approaches are the direct usage of simplified physical equations, the usage of artificial intelligence methods, regressions techniques as well as mixtures of those approaches. Another possibility, which will be described here, is the usage of results derived from more computational expensive physical simulations and using these as boundary conditions for less expensive models. This can be useful, where the influences of the reduced model parameter are small regarding the more complex physical behavior and may be a valuable alternative to more extensive measurement campaigns. For example, this method can be used to predict overheating, possible hot cracking locations or unnecessary energy usage in several heating processes. As an example a self-developed process modelling software, which can be used to predict the heating of block staples in a block reheating plant, will be shown.