BMBF joint project DiProMag:
Digitization of a process chain for the production, characterization and prototypical application of magnetocaloric alloys
- Bielefeld University of Applied Sciences: FKZ 13XP5 120A
With the aim of multi-scale simulation and hybrid 3D printing and the tasks of simulation, additive manufacturing and the application of magnetocaloric materials.
DiProMag coordinator and project manager: Prof. Dr. Christian Schröder
- Bielefeld University: FKZ 13XP5 120B
With the aim of preparing magnetocaloric Heusler compounds and developing related ontologies using OTTR templates. .
Project leader: Prof. Dr. Andreas Hütten
The entire air conditioning technology, but also current and future key technologies such as artificial intelligence or quantum computers, are unthinkable without heating and, above all,
cooling devices. This applies to Germany, but to an even greater extent to the USA, China and India. For reducing the associated CO2 emissions
alternative cooling and heating concepts that require less energy and use environmentally friendly materials are of great importance. With those considered in this project, so-called
“magnetocaloric” materials should succeed in technical innovations that contribute to energy-saving and environmentally friendly refrigeration - from private households to industrial use.
The cooling is based on a conversion of the crystalline structure of the materials that can be controlled by a magnetic field, during which energy is released or is saved.
This process can replace the classic cooling by compression and expansion in compressors, often using environmentally harmful refrigerants. Together with the industrial partner
Miele, the entire process chain from the experimental production and characterization of the magnetocaloric materials to their theoretical description can be implemented up to the
construction of a demonstrator and digitized throughout. Digitization is based on a new approach to the scalable development of extensive ontologies, that digitally represent all process data and
intentions. Using a special process, these structured and unstructured data are used to train a high-dimensional data space to gain completely digital new knowledge about
material-physical relationships via analogy inferences. The long-term goal is to build a digital data base for magnetocaloric material and its use for the discovery and development of better
material properties in order to make progress faster, more effective and more cost-effective in the future.
Cooperation between the partners:
Strengths of ontology development:
Reasonable Ontology Templates
is a language with supporting tools for
representing and instantiating RDF graph and OWL ontology modelling patterns.
Knowledge Base interaction via templates, providing these benefits:
- Better abstraction
- Uniform modelling
- Modular, encapsulated patterns
- Separation of design and content
- Open standards support
- Publish, share and reuse
- Tool support for maintenance