Systems and methods for improved volumetric additive manufacturing
AssigneeThe Regents of the University of Colorado, a body corporate
InventorsRobert R. McLeod, Charles M. Rackson
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Abstract
Systems and methods for improved volumetric additive manufacturing (VAM) are described herein. In some aspects of the present disclosure, approaches to VAM image-computation are provided that algebraically optimizes directly on the structure to be printed, instead of on the set of external projection images. These approaches provide multiple advantages including improved reconstruction fidelity, simplicity, flexibility, and robust convergence to a desirable reconstruction, regardless of initial image-set guess.
Claims10
A method for generating images for use in volumetric additive manufacturing (VAM), the method comprising:
- a) selecting, as an initial model, a target distribution of gelation in a volume of photosensitive composition;
- b) forward projecting the initial model by:
- generating a set of images at varying angles and positions with respect to the volume of the photosensitive composition;
- and converting the generated set of images to a target distribution intensity model;
- c) backward projecting the target distribution intensity model by:
- generating an optical dose reconstruction;
- and comparing the optical dose reconstruction and the target distribution of the gelation for modifying the model or to dose-threshold values.
Dependencies are inferred from the claim text.