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.