Building Model of Additive Manufacturing Based on Knowledge Driven

Abstract

This paper combines the current mainstream knowledge graph intelligent recommendation algorithm and the first step in the additive manufacturing process: model design, and proposes a knowledge-driven intelligent recommendation algorithm to be applied to model design. Combining the designer’s historical design habits and the relationship between entities and attributes in the knowledge graph can better improve the accuracy of recommendations. It is verified in the third chapter of this article that the knowledge-driven recommendation algorithm is better than other traditional recommendation algorithms.