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Computed Axial Lithography is a recently introduced volumetric additive manufacturing technique that is attracting attention due to improvements in print speed, resin properties, and sterile print environment. Print capability depends on the optical system utilized, the algorithm used to compute image sets for a given print target, and the response of the resin. I will describe recent work in our group that couples advances in these three areas. First, I will describe a new image generation algorithm, Object Space Model Optimization (OSMO), that results in improved printing metrics such as voxel errors. The OSMO algorithm enables new printing optics such as tilted resin rotation that reduce striations and may enable new resin packaging. Finally, I will show that the computational and experimental results of extending the OSMO algorithm to include material properties such as inhibition, internal inclusions, phase-change and diffusion.
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