Speaker
Prof.
Stefan Pirker
(Johannes Kepler University)
Description
The recent development of data-assisted recurrence CFD (rCFD) has boosted the computational performance of CFD simulations by orders of magnitude. In a recent publication (Pirker et al, SRIN, 2020), we presented real-time simulations of multiphase fluid flow and alloy homogenization in a RH vacuum treatment plant on a computational grid of more than three million cells.
This computational efficiency opens the door towards incorporating high-resolution rCFD simulations in process monitoring and process control. In this paper, we discuss ways, limitations and perspectives of aligning real-time rCFD simulations to online process data, such that rCFD simulations act as a digital shadow of the real-world process.
Author
Prof.
Stefan Pirker
(Johannes Kepler University)
Co-authors
Mr
Roman Rössler
(voestalpine Stahl GmbH)
Stefan Puttinger
(Johannes Kepler University Linz)