Gibbons, D.
and Witherell, P.
(2024),
Model-Based Production Operational Control for Metal Additive Manufacturing, Proceedings of the Thirty-Fifth Annual International Solid Freeform Fabrication Symposium, Austin, TX, US
(Accessed December 29, 2024)
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Model-Based Production Operational Control for Metal Additive Manufacturing
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Abstract
Metal additive manufacturing processes are influenced by many variables that affect the produced material to varying degrees. This wide range of variables and the complex fusion mechanisms inherent to these processes often result in a manufacturing process with poor repeatability and reproducibility. This is a qualification and certification concern for critical industries. This research aims to investigate the application of manufacturing reference architectures and models for metal additive manufacturing production definition and control. Such models aid qualification activities by defining critical to quality information and controlling production operations. A systems engineering methodology is utilized to design and develop a reference model for metal additive manufacturing operations. A case study is performed to demonstrate how the developed reference model can be leveraged to define requirements, define operations per STEP-NC, and generate machine-readable process control files. This demonstration illustrates how critical to quality data is captured and managed within the system model for compliance purposes. The proposed reference model provides an architecture for developing and implementing operational digital twins.Proceedings Title
Proceedings of the Thirty-Fifth Annual International Solid Freeform Fabrication Symposium
Conference Dates
August 11-14, 2024
Conference Location
Austin, TX, US
Conference Title
The Thirty-Fifth Annual International Solid Freeform Fabrication Symposium
Pub Type
Conferences
Keywords
Additive Manufacturing, Operational Control, Model-Based Systems Engineering, Metal LPBF
Citation
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Created September 16, 2024