Adnan, M.
, Lu, Y.
, Jones, A.
and Cheng, F.
(2019),
Application of the Fog Computing Paradigm to Additive Manufacturing Process Monitoring and Control, Solid Freeform Fabrication Symposium 2019, Austin, TX, US
(Accessed October 10, 2024)
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Application of the Fog Computing Paradigm to Additive Manufacturing Process Monitoring and Control
Published
Author(s)
, , , Fan Tien Cheng
Abstract
Monitoring and controlling Additive Manufacturing (AM) processes play a critical role in enabling the production of quality parts. Different from the traditional manufacturing processes, AM processes generate large volumes of structured and unstructured in-situ measurement data. The ability to analyze this volume and variety of data in real- time is necessary for effective closed-loop control and decision-making. Existing control architectures are unable to handle this level of data volume and speed. This paper investigates the functional and computational requirements for real-time closed-loop AM process control. The paper uses those requirements to propose a function architecture for AM process monitoring and control. That architecture leads to a fog-computing solution to address the big data and real-time control challenges.Conference Dates
August 12-15, 2019
Conference Location
Austin, TX, US
Conference Title
Solid Freeform Fabrication Symposium 2019
Pub Type
Conferences
Keywords
Additive Manufacturing, Fog Computing, Monitoring & Control, Functional Architecture, Control Architecture, Data Analytics.
Citation
Issues
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Created August 30, 2019, Updated October 12, 2021