Current funded project

Motivation

Function scheme of a capacitive elastomer sensor for strain measurement
© Fraunhofer-Centre HTL
Function scheme of a capacitive elastomer sensor for strain measurement

Thermoprocess plants are subject to considerable stress due to the strongly changing temperatures. Thermal and mechanical stresses as well as corrosion processes can cause cracks and breakouts in the furnace insulation. The furnace lining must therefore be replaced regularly. If major defects in the lining are not detected and eliminated in time, consequential damage and impairments in the product quality of the material to be heated occur. In the worst case, accidents of thermal process equipment can lead to very high damages and endanger human lives, e.g. if hot metal melts are released.

 

Objective

Capacitive elastomer sensors for strain measurement
© Fraunhofer-Centre HTL
Capacitive elastomer sensors for strain measurement

The aim of the project is a permanent condition monitoring of the furnace lining. The sensor network to be developed for this purpose must be robust and cost-effective and must monitor large areas of a several square meters, while reliably detecting very small expansions of the furnace insulation. In addition to the expansion, the temperature also has to be recorded locally. The entire sensor system must be able to withstand temperatures of up to 120 °C, since it is used in the outer area of the kiln lining. In addition, installation must be so simple that it can also be carried out by unskilled workers.

 

Approach

Thermoprocessing plant with planned sensor network (left) and schematic of the sensor network for condition monitoring (right)
© Fraunhofer-Centre HTL
Thermoprocessing plant with planned sensor network (left) and schematic of the sensor network for condition monitoring (right)
  • Development of capacitive strain sensors with particularly high measuring sensitivity
  • Adaptation of chemical formulations for dielectric and electrically conductive silicone elastomers for the sensors
  • Development of a production method for sensors with robot support
  • Optimisation of strain sensor properties with AI methods
  • Construction of a two-dimensional network of strain sensors
  • Integration of thermistors for spatially resolved temperature measurements
  • Development of electronics with software for controlling the sensor network and for data evaluation

Project Management: S. Stier

Project Members: J. Baber, J. Ehrlich, T. Gerlach, K. Heinrich, P. Löschke, P. Michel, T. Shinkar, D. Uhl