Ontology‐based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

A key aspect in the development of multilayer inductors is the magnetic permeability of the ferrite layers. Here, the effects of different processing steps on the permeability of a NiCuZn ferrite is investigated. Dry pressed, tape cast, and co-fired multilayer samples are analyzed. An automated data pipeline is applied to structure the acquired experimental data according to a domain ontology based on PMDco (Platform MaterialDigital core ontology). Example queries to the ontology show how the determined process-property correlations are accessible to non-experts and thus how suitable data for component design can be identified. It is demonstrated how the inductance of co-fired multilayer inductors is reliably predicted by simulations if the appropriate input data corresponding to the manufacturing process is used.