Application of the Fog Computing Paradigm to Additive Manufacturing Process Monitoring and Control

14 Pages Posted: 24 Mar 2021 Last revised: 3 Jun 2022

See all articles by Muhammad Adnan

Muhammad Adnan

Government of the United States of America - National Institute of Standards and Technology (NIST)

Yan Lu

Government of the United States of America - National Institute of Standards and Technology (NIST)

Al Jones

Government of the United States of America - National Institute of Standards and Technology (NIST)

Fan Tien Cheng

National Cheng Kung University

Date Written: February 15, 2021

Abstract

Monitoring and controlling Additive Manufacturing (AM) processes play a critical role in enabling the production of quality parts. 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.

Keywords: Additive Manufacturing, Fog Computing, Monitoring & Control, Functional Architecture, Control Architecture, Data Analytics

Suggested Citation

Adnan, Muhammad and Lu, Yan and Jones, Al and Cheng, Fan Tien, Application of the Fog Computing Paradigm to Additive Manufacturing Process Monitoring and Control (February 15, 2021). Available at SSRN: https://ssrn.com/abstract=3785854 or http://dx.doi.org/10.2139/ssrn.3785854

Muhammad Adnan (Contact Author)

Government of the United States of America - National Institute of Standards and Technology (NIST)

Gaithersburg, MD 20899-8910
United States

Yan Lu

Government of the United States of America - National Institute of Standards and Technology (NIST)

Gaithersburg, MD 20899-8910
United States

Al Jones

Government of the United States of America - National Institute of Standards and Technology (NIST)

Gaithersburg, MD 20899-8910
United States

Fan Tien Cheng

National Cheng Kung University

No.1, University Road
Tainan
Taiwan

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