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Tomographic volumetric additive manufacturing is a rapidly growingfabrication technology that enables rapid production of 3D objects through asingle build step. In this process, the design of projections directly impactsgeometric resolution, material properties, and manufacturing yield of the finalprinted part. Herein, we identify the hidden equivalent operations of threemajor existing projection optimization schemes and reformulate them into ageneral loss function where the optimization behavior can be systematicallystudied, and unique capabilities of the individual schemes can coalesce. Theloss function formulation proposed in this study unified the optimization forbinary and greyscale targets and relaxed the problem through local tolerancingand local weighting. In addition to features reported in literature, thisformulation offers global control on error sparsity and consistentincorporation of non-linear dose response mapping throughout initialization,optimization, and evaluation. A parameter-sweep analysis in this study guidesusers in tuning optimization parameters for application-specific goals.

Tomographic projection optimization for volumetric additive manufacturing with general band constraint Lp-norm minimization