Description Logic Ontology-Supported Part Orientation for Fused Deposition Modelling

Fused deposition modelling (FDM) is well-known as an inexpensive and the most commonly used additive manufacturing process. In FDM, build orientation one of critical factors that affect quality printed part. However, activity determining a for FDM part, i.e., part usually relies on knowledge experience domain experts. This necessitates approach enables capture, representation, reasoning, reuse data in this activity. paper, description logic (DL) ontology-supported presented. Firstly, set top-level entities are created to construct DL ontology orientation. Then alternative generation procedure, factor value prediction optimal selection procedure developed successively. After that, application presented illustrated via six parts. Finally, effectiveness efficiency demonstrated through theoretical predictions printing experiments advantages example. The demonstration results suggest has satisfying provides semantic enrichment model capturing representing enable automatic checking, query, further reuse.