About this Abstract |
| Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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| Symposium
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2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
|
| Presentation Title |
A Low Computation Method to Account for Attenuation in Tomographic Volumetric Additive Manufacturing: Exponential Radon Transform |
| Author(s) |
Nicole Pellizzon, Jon Spangenberg |
| On-Site Speaker (Planned) |
Nicole Pellizzon |
| Abstract Scope |
In Tomographic Volumetric Additive Manufacturing, 2D intensity-modulated image-sets are generated using the Radon transform. These images are shone across liquid photopolymer forming a 3D target object in layerless fashion as a physical realisation of the adjoint to the Radon transform: the back-projection. However, use of the exponential Radon transform back-projection to account for energy losses incurred from light attenuation has been mostly overlooked in literature. The resulting deviation between print and target depends on the photopolymer’s attenuation coefficient and the distance over which the images are shone. In this novel numerical study, geometry fidelity is interrogated for multiple attenuation levels suggesting a threshold above which this effect should be included in image-set optimisation to account for real-world physics. Each optimisation loop compares the current image-set reconstruction to the target geometry to calculate the error thus considering attenuation increases the veracity of this error, theoretically, resulting in a better print. |
| Proceedings Inclusion? |
Planned: Post-meeting proceedings |