Completed funded project

Motivation

Strategy for solving debinding problems in the industry
© Fraunhofer Centre HTL
Strategy for solving debinding problems in the industry

Thermal treatment is an important link in the value chain of many materials. The interaction between the furnace system and the material to be heated is crucial for thermal process development. By using digital methods (AI methods, digital furnace twin), which are developing rapidly, thermal processes can be predicted and optimized. There are also important developments in sensor technology - both within and outside the DiMaWert project - that can be used for process control. The combination of process simulation and modern sensor technology can significantly shorten process times and drastically reduce energy requirements.

Objective

User interface of the user app for optimizing sintering processes
© Fraunhofer Centre HTL
User interface of the user app for optimizing sintering processes

In this sub-project, the simulation models for the development of thermal treatment processes were to be further developed. In particular, the transfer to bulk materials was planned. The existing models for debinding and sintering processes were to be deepened. The material models were to be combined with virtual furnace twins in order to optimize the process parameters. Control concepts were to be developed for the virtual furnaces. In addition, a methodology for the optimization of industrial drying processes was to be developed.

Results

Tunnel kiln with wash basin during sintering: left at the beginning and right at the end of the high-temperature zone
Tunnel kiln with wash basin during sintering: left at the beginning and right at the end of the high-temperature zone
ThermoOptical Measuring system TOM_dry for analyzing drying processes in the laboratory under standard industrial conditions
ThermoOptical Measuring system TOM_dry for analyzing drying processes in the laboratory under standard industrial conditions
  • Development of user apps that enable users to optimize their thermal processes independently
  • User apps for debinding, sintering and bulk material processes
  • Development of a control system for the digital furnace twin
  • Coupling the material models with the digital furnace twin for holistic optimization of thermal processes
  • Validation of the simulation methods
  • Development of an in-situ measuring system for the investigation of drying processes under the conditions of industrial drying plants

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