Abstract

This paper extends the conventional single-stage additive manufacturing (AM) processes to multi-STage distRibutEd AM systems (STREAMs). In STREAM, a batch of material produced at the pre-processing stage is jointly consumed by distributed AM printers, and then the printed parts are collected for the centralized post-processing. Such systems are widely encountered in AM processes such as energy-AM, metal-AM and bio-AM. Modeling and managing such complex systems have been challenging. We propose a novel framework for 'cyber-coordinated simulation' to manage the hierarchical information in STREAM. This is important because simulation can be used to infuse data into predictive analytics, thus providing guidance for the optimization and control of STREAM operations. The proposed framework is hierarchical in nature, where single stage, multi-stage and distributed productions are modeled through the integration of different simulators. We demonstrate the proposed framework with simulation data from freeze nano printing AM processes.

Original languageEnglish (US)
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society
Pages893-898
Number of pages6
Volume2018-August
ISBN (Electronic)9781538635933
DOIs
StatePublished - Dec 4 2018
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany
Duration: Aug 20 2018Aug 24 2018

Other

Other14th IEEE International Conference on Automation Science and Engineering, CASE 2018
CountryGermany
CityMunich
Period8/20/188/24/18

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Sun, H., Pedrielli, G., Zhao, G., Bragagnolo, A., Zhou, C., Pan, R., & Xu, W. (2018). Cyber-coordinated Simulation Models for Multi-stage Additive Manufacturing of Energy Products. In 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 (Vol. 2018-August, pp. 893-898). [8560477] IEEE Computer Society. https://doi.org/10.1109/COASE.2018.8560477