| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Voxel-free Radon Transform for Improving Surface Quality in Computed Axial Lithography |
| Author(s) |
Jennings Zhekai Ye, Yaxuan Sun, Hayden Taylor |
| On-Site Speaker (Planned) |
Jennings Zhekai Ye |
| Abstract Scope |
Computed axial lithography (CAL) is an additive manufacturing process that projects light patterns into a rotating volume 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 followed by an iterative optimization process. This work proposes a voxel-free method to transform the target object into the projection space. Here, the Radon transform is performed directly on a non-voxelized target object by finding intersections between incident rays of light and triangles of the original STL surface mesh. Initial simulated results show a more consistent dose gradient at the edges of the printed object, indicating improved surface quality and smoothness. Additionally, simulations show a more uniform object interior using the proposed method. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |