Current funded project

Motivation

FE-simulation of the temperature distribution in a chamber furnace
© Fraunhofer-Centre HTL
FE-simulation of the temperature distribution in a chamber furnace

An important link in the value chain of many materials is their heat treatment. The interaction between the furnace system and the material to be heated is decisive for the thermal process development. By using digital methods (AI methods, digital furnace twins), which are rapidly evolving, thermal processes can be predicted and optimised. There are also important further developments in sensor technology - within and outside the DiMaWert project - which can be used for process control. Through the combination of process simulation and modern sensor technology, process times can be shortened considerably and energy requirements can be reduced drastically.

Objective

Process optimisation including a digital kiln twin
© Fraunhofer-Centre HTL
Process optimisation including a digital kiln twin

The simulation models for the development of heat treatment processes shall be further developed. In particular, the transfer to bulk materials is planned. The models will then be used in virtual furnace twins to optimise the processes. In parallel, sensor concepts are to be developed in co-operation with the other subprojects. The sensor data are to be interpreted with AI methods and trained for furnace control.

Approach

Temperature distribution in the kiln load
© Fraunhofer-Centre HTL
Temperature distribution in the kiln load
  • Creation and further development of process models
  • Development of a holistic sensor concept for the digital representation of thermal processes
  • Preparation and processing of sensor data including AI methods
  • Optimisation of selected thermal processes
  • Validation of the simulation methods

Project Management: H. Ziebold
Project Members: M. Stepanyan, J. Baber, P. Döppmann, Dr. A. Konschak, PD Dr. G. Seifert