Open AccessBuilding Model of Additive Manufacturing Based on Knowledge Driven
Author(s) -
Wei QianZhou,
Ling Xiang,
Xiaoxu Wang,
Yu Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1653/1/012046
Subject(s) - mainstream , knowledge graph , computer science , graph , process (computing) , artificial intelligence , theoretical computer science , philosophy , theology , operating system
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.