26 February 2018 Dynamic programming approach to adaptive slicing for optimization under a global volumetric error constraint
Author Affiliations +
Proceedings Volume 10523, Laser 3D Manufacturing V; 105230B (2018) https://doi.org/10.1117/12.2287944
Event: SPIE LASE, 2018, San Francisco, California, United States
Abstract
In Additive Layer Manufacturing, the layer-based nature of the process results in error in the final object, termed staircase error. This error can be reduced by using a smaller layer thickness, and hence more layers, to print the object. However, in 3D printing with stereolithography, the print time is mostly determined by the number of layers, since the movement of the laser in the X-Y plane is much faster than the movement of the build platform. Therefore, using finer layer thicknesses can significantly increase the print time.

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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.2287944; https://doi.org/10.1117/12.2287944
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