Ансамбль онтологических моделей для обеспечения интеллектуальной поддержки лазерных аддитивных технологических процессов

Abstract

Barriers hindering the use of additive manufacturing processes for metal parts production are discussed. The necessity of integrating an intelligent decision support system (DSS) into the professional activities of laser additive manufactur-ing engineers is substantiated. The advantages of the developed ontological two-level approach for forming semantic information are highlighted. This approach's peculiarity lies in separating ontological models from the databases and knowledge formed on their basis—target information. The ontology dictates the rules for the structured formation and interpretation of target information. An ensemble of ontological models, forming the foundation of the developed intel-ligent system, is presented. The composition of the ensemble, the purpose of its individual components, and possible types of connections between them are described. The ensemble includes ontologies for reference databases on equip-ment and materials for laser additive manufacturing, an archive of protocols for technological operations of laser pro-cessing, a knowledge base about settings for laser processing modes, and a database of mathematical models. The en-semble of ontological models is implemented on the IACPaaS cloud platform using its tools. Ontologies, databases, knowledge bases, and a decision support system are part of the Laser Additive Manufacturing Knowledge Portal. Ac-cumulating and using the knowledge and experience from different technologists in the portal will reduce the number of preliminary experiments needed to identify suitable technological modes and lower the qualification requirements for users of technological equipment.