Journal of Intelligent Manufacturing and Special Equipment (Aug 2024)

Process-based modeling of energy consumption for multi-material FDM 3D printing

  • Wenzhen Yang,
  • Yu Liu,
  • Jinghua Chen,
  • Yanqiu Chen,
  • Erwei Shang

DOI
https://doi.org/10.1108/JIMSE-10-2023-0008
Journal volume & issue
Vol. 5, no. 1
pp. 190 – 202

Abstract

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Purpose – This paper endeavors to create a predictive model for the energy consumption associated with the multi-material fused deposition modeling (FDM) printing process. Design/methodology/approach – An online measurement system for monitoring power and temperature has been integrated into the dual-extruder FDM printer. This system enables a comprehensive study of energy consumption during the dual-material FDM printing process, achieved by breaking down the entire dual-material printing procedure into distinct operational modes. Concurrently, the analysis of the G-code related to the dual-material FDM printing process is carried out. Findings – This work involves an investigation of the execution instructions that delineate the tooling plan for FDM. We measure and simulate the nozzle temperature distributions with varying filament materials. In our work, we capture intricate details of energy consumption accurately, enabling us to predict fluctuations in power demand across different operational phases of multi-material FDM 3D printing processes. Originality/value – This work establishes a model for quantifying the energy consumption of the dual-material FDM printing process. This model carries significant implications for enhancing the design of 3D printers and advancing their sustainability in mobile manufacturing endeavors.

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