SeMplex | Semantic modeling of the complex dependencies of additive manufacturing processes

Ontological description of complex dependencies for additive manufacturing processes

The properties of additively manufactured components are highly process-dependent. In manufacturing companies, the selection and adaptation of the manufacturing process parameters are often based on a combination of empirical values and »trial & error« experiments. This leads to high costs and time expenditure for the manufacturing companies. Furthermore, manufacturing companies often have insufficient data describing the relationship between material parameters, process parameters, and component quality.

The SeMplex project's goal is the ontological description of material and process parameters for the prediction of component properties of additively manufactured components. The Fused Filament Fabrication (FFF) process serves as an application example. In the project, the extensive competencies of Fraunhofer IGCV in knowledge modeling, testing technology, and dependencies of process and component properties in additive manufacturing are applied to the problem.

Creation of an ontology structure
© Fraunhofer IGCV
Creation of an ontology structure

Prediction of component properties using artificial intelligence

 

In the SeMplex research project, additively manufactured samples in the Fused Filament Fabrication (FFF) process are characterized experimentally and numerically, and the processes are clustered according to different perspectives. The vision of SeMplex is to predict component properties based on material and process characteristics using various algorithms and Artificial Intelligence methods. Furthermore, a comprehensive glossary is being developed for the uniform description of process-dependent properties. For manufacturing companies, this offers the potential to realize the economical use of additive manufacturing for a broader range of components and to optimize their current production.

The project was launched in June 2020. In the first step, the ontology will be created based on the latest scientific findings. In the further course of the project, components will be systematically manufactured and analyzed to determine the dependencies of material, process, and component properties. These are successively entered into the ontology. Thereby, a harmonization with further domain ontologies, created in further research projects at Fraunhofer IGCV (e.g., project COBAIN), always occurs.

Competences

We are shaping the way into the future of efficient engineering, networked production and intelligent multi-material solutions.

Industry solutions

The key sectors of Fraunhofer IGCV:

  • Mechanical and plant engineering
  • Aerospace
  • Automotive and commercial vehicles

Cooperation with Fraunhofer IGCV

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