PART SCALE SIMULATION OF HEAT AFFECTED ZONES FOR PARAMETER OPTIMIZATION IN A MICROSCALE SELECTIVE LASER SINTERING SYSTEM

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Date

2023

Authors

Grose, J.
Liao, A.
Tasnim, F.
Foong, C.S.
Cullinan, M.A.

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University of Texas at Austin

Abstract

The Microscale Selective Laser Sintering (μ-SLS) system can produce feature sizes on the order of a single micrometer, far smaller than existing metal additive technologies. Despite this advantage, there are challenges in producing reliable small-scale parts due to unwanted heat transfer in the nanoparticle bed. To address this issue, a multiscale Finite Element thermal model has been developed to predict the temperature changes that occur during sintering within the particle bed. Nanoscale particle models are used to quantify material property changes experienced by particle groups that undergo laser sintering. This work processes the property relationships developed by the particle models and integrates comprehensive property functions into the partscale model to capture the nuanced thermal evolution that occurs during sintering. The multiscale model predicts the extent of heat spread and part formation during sintering to optimize input laser parameters, reduce unwanted heat spread, and improve the minimum feature resolution of printable parts.

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