About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Presentation Title |
A Comprehensive Review and Discussion of Knowledge Graph and Ontology for Rapid Qualification of Metal Additive Manufactured Parts |
Author(s) |
Farzana Yeasmin, Md Riyad Hossain, Zhaohui Geng, Jianzhi Li |
On-Site Speaker (Planned) |
Md Riyad Hossain |
Abstract Scope |
Additive manufacturing (AM), especially metal-AM, has become a popular manufacturing process in high-value-added industries, such as aerospace, defense, etc., because of its flexibility in design and fabrication. However, the quality of parts is still debatable in critical applications, which prevents its wider adoption by the industry. Conventional testing and qualification procedure can be time- and cost-consuming, which prolongs the throughput time of AM-printed parts. This study provides a detailed review of the key considerations and process map concerning the part quality of the metal AM processes. Prior studies on the knowledge graph and ontology of the metal-AM are surveyed and the potential research gaps to build a complete framework using knowledge graph and ontology for rapid validation and verification of the AM-printed parts are discussed. Future studies on building a rapid qualification framework for metal AM are presented. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |