Engineering topics
Taylor, Hayden K.
Publications and source records attributed to Taylor, Hayden K..
Photocurable resins for volumetric additive manufacturing
Methods and materials for volumetric additive manufacturing, including computed axial lithography (“CAL”), using photosensitive resins comprising a photocurable resin prepolymer; a photoinitiator; and (optionally) a curing inhibitor. In various embodiments, such photosensitive polymers comprise (a) one or more monomer (or prepolymer) molecules, which form the backbone of the polymer network of the polymeric material and define its architecture; and (b) a photoinitiator that captures illumination energy and initiates polymerization.
Latent image volumetric additive manufacturing
We report volumetric additive manufacturing (VAM) enables rapid printing into a wide range of materials, offering significant advantages over other printing technologies, with a lack of inherent layering of particular note. However, VAM suffers from striations, similar in appearance to layers, and similarly limiting applications due to mechanical and refractive index inhomogeneity, surface roughness, etc. We hypothesize that these striations are caused by a self-written waveguide effect, driven by the gelation material nonlinearity upon which VAM relies, and that they are not a direct recording of non-uniform patterning beams. We demonstrate a simple and effective method of mitigating striations via a uniform optical exposure added to the end of any VAM printing process. We show this step to additionally shorten the period from initial gelation to print completion, mitigating the problem of partially gelled parts sinking before print completion, and expanding the range of resins printable in any VAM printer.
Object-space optimization of tomographic reconstructions for additive manufacturing
Volumetric 3D printing motivated by computed axial lithography enables rapid printing of homogeneous parts but requires a high dimensionality gradient-descent optimization to calculate image sets. Here we introduce a new, simpler approach to image-computation that algebraically optimizes a model of the printed object, significantly improving print accuracy of complex parts under imperfect material and optical precision by improving optical dose contrast between the target and surrounding regions. Quality metrics for volumetric printing are defined and shown to be significantly improved by the new algorithm. The approach is extended beyond binary printing to grayscale control of conversion to enable functionally graded materials. The flexibility of the technique is digitally demonstrated with realistic projector point spread functions, printing around occluding structures, printing with restricted angular range, and incorporation of materials chemistry such as inhibition. Finally, simulations show that the method facilitates new printing modalities such as printing into flat, rather than cylindrical packages to extend the applications of volumetric printing.