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Radiative Thermal Effects in Large Scale Additive Manufacturing of Polymers: Numerical and Experimental

Benoît Cosson1, André Chateau Akué Asséko1, Lukas Pelzer2

  • 1IMT Nord Europe, Institut Mines Télécom, Centre Materials and Processes, University Lille, F-59653 Villeneuve d'Ascq, France.

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Summary

This study investigates Large Scale Additive Manufacturing (LSAM) using polymers. Accurate thermal history prediction, considering nozzle heat, is crucial for high-quality parts and validated by experimental and numerical analysis.

Keywords:
IR measurementadditive manufacturinglarge scaleradiative transfer

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Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Thermal Engineering

Background:

  • Large Scale Additive Manufacturing (LSAM) offers revolutionary potential for producing large polymer components.
  • Accurate thermal history prediction and control are critical for LSAM process success, ensuring part quality and mechanical properties.
  • Understanding heat transfer, particularly nozzle heat, is essential for precise temperature field prediction in LSAM.

Purpose of the Study:

  • To experimentally and numerically investigate the thermal behavior during a Large Scale Additive Manufacturing (LSAM) process using polymers.
  • To validate numerical simulation models against experimental measurements of temperature fields.
  • To analyze the impact of nozzle heat exchange on the transient heat transfer during LSAM.

Main Methods:

  • Experimental measurements of nozzle heat emission using a radiative heat sensor.
  • Infrared thermography to measure temperature fields across manufactured parts at varying process speeds.
  • Development of a numerical simulation model for transient heat transfer analysis in LSAM.

Main Results:

  • Experimental data on nozzle heat emission and temperature fields were collected.
  • Numerical simulations accurately predicted temperature fields.
  • The contribution of nozzle heat exchange was confirmed as significant for accurate thermal prediction.

Conclusions:

  • The study successfully validated numerical models against experimental LSAM thermal data.
  • Accurate modeling of nozzle heat is essential for predicting temperature fields in LSAM.
  • This research contributes to the reliable and high-quality production of large polymer components via LSAM.