Cyber coordinated simulation for distributed multi-stage additive manufacturing systems

Hongyue Sun, Giulia Pedrielli, Guanglei Zhao, Chi Zhou, Wenyao Xu, Rong Pan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Additive Manufacturing (AM) processes have been increasingly used to manufacture energy storage products with dedicated material preparation and post-processing stages to enhance product properties. Most researchers focus on selecting materials and improving processes, yet the system modeling and management has not been investigated so far. This paper extends the conventional single-stage AM processes to multi-STage distRibutEd AM (STREAM) systems. 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 post-processing stage. 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 the 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 (FNP) AM for the fabrication of energy storage products.

Original languageEnglish (US)
Pages (from-to)61-71
Number of pages11
JournalJournal of Manufacturing Systems
StatePublished - Oct 2020


  • Cyber coordination
  • Discrete event simulation
  • Freeze nano printing
  • Multi-stage manufacturing

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering


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