VOXEL-FREE RADON TRANSFORM FOR IMPROVING SURFACE QUALITY IN COMPUTED AXIAL LITHOGRAPHY

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Date

2023

Authors

Ye, Jennings Z.
Sun, Yaxuan
Taylor, Hayden

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University of Texas at Austin

Abstract

Computed axial lithography (CAL) is an additive manufacturing process that projects light patterns onto a rotating vial of photosensitive resin to print the desired object through the superposition of light energy. Currently, these projection patterns are generated by voxelizing a target object from an STL or another 3D file format and applying the Radon transform through an iterative optimization process. In this work, a voxel-free method to generate projection sets is proposed. Here, the Radon transform is performed directly on a non-voxelized target object by calculating intersections between incident rays of light and triangles of the original STL surface mesh. Initial simulated results show a more consistent light dose at the surface of the object, indicating improved surface quality and smoothness. Additionally, simulations show a more uniform object interior using the proposed method as well as the potential for improved speed scaling with object size.

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