In this work, we propose a novel adaptive slicing algorithm that balances accuracy and print time. The proposed, near-optimal, dynamic programming (DP) based algorithm for adaptive slicing minimizes the number of layers subject to a global volumetric error constraint. Our approach reduces slice count by up to 36% (52%) compared to a state of the art adaptive slicing (uniform slicing) method under the same volumetric error. The results were tested on Formlabsunder the same volumetric error. The results were tested on Formlabs Form1+ SLA-based printers. The print time was improved by up to 32% (53%) for a selection of objects.
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Andrew Deng, Yasmine Badr, Puneet Gupta, "Dynamic programming approach to adaptive slicing for optimization under a global volumetric error constraint," Proc. SPIE 10523, Laser 3D Manufacturing V, 105230B (26 February 2018);