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. ; Mechanical Engineering


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    Title :

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


    Contributors:
    Adnan, Muhammad (author) / Lu, Yan (author) / Jones, Al (author) / Cheng, Fan Tien (author)

    Publication date :

    2019-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629 / 670




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