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Numerical Modeling of Part Formation in Volumetric Additive Manufacturing

  • Roozbeh Salajeghe,
  • Daniel Helmuth Meile,
  • Carl Sander Kruse,
  • Deepak Marla,
  • Jon Spangenberg

摘要

Volumetric additive manufacturing (VAM) is a promising manufacturing method that enables the printing of high-accuracy structures in a short time. However, it faces difficulty with printing fine structures, highlighting the need for better process understanding. In this study, we propose a numerical method based on the energy threshold model to predict the shape of printed parts in VAM. We have combined a solver developed in OpenFOAM with an in-house code to interpolate images on the computational domain, which provides accurate VAM predictions. The framework has been used to study the development of the energy within the resin.