Work

A Multi-Model Ontological System for Intelligent Assistance in Laser Additive Processes

Year: 2025

Type: article

Abstract: Obstacles that hinder the mass adoption of additive manufacturing (AM) processes for fabrication and processing of metal parts are discussed. The necessity of integrating an intelligent decision support system (DSS) into the professional activities of AM process engineers is proved. Advantages of applying a two-level ontological approach to the creation of semantic information for developing an ontology-based DSS are pointed out. Its key feature is that ontological models are clearly separated from data & knowledge bases formed on their basis. An ensemble of ontological models is presented, which is the basis for the intelligent DSS being developed. The ensemble includes ontologies for equipment and materials reference databases, a library of laser processing technological operation protocols, knowledge base of settings used for laser processing and for mathematical model database. The ensemble of ontological models is implemented at IACPaaS cloud platform. Ontologies, databases and knowledge base, as well as DSS, are part of the laser-based AM knowledge portal, which was created and is being developed on the platform. Knowledge and experience obtained by various technologists and accumulated in the portal will allow us to lessen a number of trial experiments for finding suitable settings and to reduce requirements to skills of users.

Source: Applied Sciences

DOI: 10.3390/app15084396