Mathematical Modelling in Metallurgical Industry

Design and operation of metallurgical processes have been gradually improved through industrial experience, research, modern process control, new and/or improved measurements, etc. Nevertheless, due to high temperatures and several complexities, the design and operation of the processes are still to a large degree empirically based, and several process variations are not properly understood.

Mettalurgi Konferanse

Mathematical modelling can effectively be applied to improve today’s knowledge and contribute significantly to solve industrial challenges. Much insight can be established by mathematical analysis. The mathematical descriptions will further supply the basis for computations/simulations, applying modern computers and advanced software. Such simulations constitute valuable tools for enhanced process understanding, process improvements and novel innovations.

Another approach is data-driven analysis where available data is analysed to find hidden patterns. Available tools include artificial intelligence, chemometrics, and other techniques for “big data analytics”.

The conference will comprise

  • Industrial needs and challenges
  • Traditional, physics-based, models
  • Digitalization, data-driven modelling

One important issue is how physics-based insight and data-driven analysis may complement each other. The conference aims at improving the communication/dialogue between industry and academia, which will be of great value for both communities.

See the full programme & sign up for the conference!

Registration is open until 30.08.2018