Prospects for the Development of Laser-Based Directed Energy Deposition Additive Process Based on AI Technologies

Abstract

Laser-based directed energy deposition process is one of the most promising processes for manufacturing, machining and repair of large-size metal parts of mechanical engineering. The complexity of controlling many changing parameters complicates its practical application. In the article the necessity of using intelligent decision support systems for process engineers of laser-based additive manufacturing is explained. The concept of an ensemble of ontological resources, which is implemented on the IACPaaS cloud platform and can be the basis of such systems, is described. The ensemble includes both a set of related ontologies and domain databases and knowledge bases. The peculiarity of the proposed solutions is that the ontology models are separated from the data and knowledge bases formed on their basis—the target information. Ontology in this approach provides an accurate description of structure, semantics, integrity constraints, as well as defines the rules of formation of target information and its interpretation. Also, one of the main differences from analogues is the explainability of the issued recommendations laid down in the designed decision support system. The developed models, methods and a set of software tools will eliminate some problems of application of additive technologies in industrial production processes, including reducing the requirements for the qualification of technological equipment users.