About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Nano and Micro Additive Manufacturing
|
| Presentation Title |
Computationally Efficient, Multiphysics-Aware Planning of Radiation Delivery for Micro-Scale Computed Axial Lithography |
| Author(s) |
Hayden Taylor |
| On-Site Speaker (Planned) |
Hayden Taylor |
| Abstract Scope |
Computed axial lithography (CAL) forms 3D structures in photopolymers via tomographic reconstruction of a light dose from time-multiplexed projected light patterns. CAL has achieved 3D structures with features down to ~20 micrometers, although the achievable resolution depends on the dose response contrast of the material and on the performance of the crucial algorithm that maps the target geometry to projected images. Recently we proposed a new way to generate projected patterns that, unlike other schemes, does all the iterative optimization within the coordinate space of the target object, transforming the data to the projection space only as a final step. This approach is computationally more straightforward, has been shown to achieve much more uniform dosing within the target geometry, and allows intuitive incorporation of light absorption and scattering as well as mass and heat diffusion. In this talk I will describe recent developments of this technique and characterize its performance. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Polymers, Modeling and Simulation, Additive Manufacturing |