Fraunhofer ISC, Center for High Temperature Materials and Design HTL, Bayreuth
Project Cluster DiMaWert
Digitisation of material development along the value chains
Current funded project
Motivation
FE model of a loaded industrial furnace (colour scale = surface temperature)
The need to reduce CO2 emissions and the increasingly fluctuating energy supply from regenerative sources are a challenge both for industrial furnace construction and for operators of high-temperature processes. Networked computer models and precise measurement data are indispensable as a basis for model calculations in order to be able to guarantee optimum energy efficiency and consistently high product quality, not only in the design of new furnace systems but also in the control and monitoring of production processes in furnaces. The project aims to develop appropriate digital tools for the future needs of furnace manufacturers and users.
Objective
![Organisation and main actors of the "MaterialDigital" platform currently being set up with BMBF support](/en/funded_projects/dimawert/modellintegration/jcr:content/contentPar/sectioncomponent/sectionParsys/textwithasset_1667450180/imageComponent/image.img.4col.large.jpg/1611573198418/Modellintegration-Bild2.jpg "Organisation and main actors of the "MaterialDigital" platform currently being set up with BMBF support")
Organisation and main actors of the "MaterialDigital" platform currently being set up with BMBF support
A methodology is to be developed which allows a virtual development of thermo process plants using digital furnace twins with high prediction accuracy. For the necessary precise data basis the thermo-optical measuring methods TOM_wave and TOM_mech developed at the Fraunhofer Centre HTL are to be qualified for the routine measurement of the high temperature properties of furnace materials. For the resulting material data, a data structure is to be developed which is compatible with the MaterialDigital platform (www.materialdigital.de) currently being set up.
Approach
The thermo-optical measuring systems TOM_wave and TOM_chem provide high-quality high-temperature material data
- Networking, further development and supplementation of the simulation methods available at the HTL in terms of the ICME (Integrated Computational Materials Engineering)
- Use of algorithms from the field of artificial intelligence to create digital oven twins
- Establishment of precise measurement routines and digital measurement data processing for high-temperature material data at TOM_wave and TOM_mech
- Development of top-down methods for furnace development and microstructure design of high-temperature materials
- Acceleration of computer simulations through:
- Use of AI methods
- Parallelisation and use of high-performance computers
- Use of AI methods