Computational optimization and the role of optical metrology in tomographic additive manufacturing

Li, Chi Chung; Toombs, Joseph; Luk, Sui Man; Beer, Martin P. de; Schwartz, Johanna J.; Shusteff, Maxim; Taylor, Hayden

doi:10.1117/12.2610558

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…In this example, the local refractive index (as shown in Figure 6(a)) is set to be proportional to the response target. The maximum index change relative to the surrounding is set to be 0.005, which is close to the measured index change of an example material (Urethane Dimethacrylate IPDI 33 ). Due to the complexity of the index distribution, the ray trajectories in Figure 6(b) do not carry any intuitive or interpretable pattern.…”

Section: Refraction In Gradient-refractive Index Mediamentioning

confidence: 98%

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Generalized projection optimization model for tomographic volumetric additive manufacturing

Li,

Toombs,

Taylor

et al. 2024

Advanced Fabrication Technologies for Micro/Nano Optics and Photonics XVII

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As a recently developed 3D printing technique, tomographic volumetric additive manufacturing (VAM) enables rapid printing of freeform objects by parallelizing photopolymerization through tomographic exposure. In this tomographic exposure process, patterning resolution and conversion accuracy crucially depend on the design of tomographic projections. In this nascent field, there are only a few optimization algorithms and each proposed to cater certain special cases of the general inverse design problem. Yet, there is no comprehensive and rigorous treatment to simultaneously address the larger class of design problems involving a mix of greyscale targets, non-linear material response, spatially variant tolerance, arbitrary tomographic configuration, and complex propagation media. This paper outlines two contributions to the mathematical and computational foundation for volumetric 3D printing, namely, a general band constraint optimization model and a ray-tracing light propagation model. These advancements are crucial for VAM in creating accurate functionally graded objects in heterogeneous media. Beyond 3D printing, the findings in this work are relevant to synthesis of spatiotemporal irradiation profiles in other contexts, such as those in photografting of biological constructs, 3D neural photostimulation, and intensity-modulated radiation therapy (IMRT).

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Section: Refraction In Gradient-refractive Index Mediamentioning

confidence: 98%

“…This work assumes that the evolving refractive index distribution is known (e.g. measured by Color Schlieren Tomography 33,34 ) and spatially continuous (due to the band-limited reconstruction and material diffusion).…”

Section: Refraction In Gradient-refractive Index Mediamentioning

confidence: 99%

Generalized projection optimization model for tomographic volumetric additive manufacturing

Li,

Toombs,

Taylor

et al. 2024

Advanced Fabrication Technologies for Micro/Nano Optics and Photonics XVII

Self Cite

View full text Add to dashboard Cite

show abstract

“…The light rays after the resin volume are then focused by a focusing lens which is placed one focal length away from the resin vial. A slit is placed at the focal plane of the focusing lens [14]. Depending on the ray deflection by the resin going through gelation, only light of certain color can pass through the slit and get collected by the camera.…”

Section: Color Schlierenmentioning

confidence: 99%

“…Color Schlieren technique is more robust against changes in scattering and achromatic absorbance. Color Schlieren provides contrast along one direction but holds the potential to encode RI along both vertical and horizontal directions by using a more sophisticated color filter [14,15]. RI changes as low as 10 -4 of a urethane dimethacrylate-based resin were detected by color Schlieren system [14,15].…”

Section: (C))mentioning

confidence: 99%

Optical Imaging Methods for Volumetric Additive Manufacturing

Terrel-Perez

2023

AJOP

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Tomographic volumetric additive manufacturing (VAM) is a technique that enables light-induced curing of photoresins into complex 3D end use objects within a single step. This is made possible through projecting tomographically patterned light energy into a photo-curable resin volume within a rotating container. In order to monitor, quantify, and control curing during tomographic VAM, researchers need to visualize the curing parts in real-time. This may enable advancements toward dynamic, controlled and closedloop VAM methods in the future, as some researchers have shown. Herein we briefly review various optical imaging methods used to monitor printing in real-time, as well as provide some perspectives for future needs and considerations for imaging methods in VAM.

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Computational optimization and the role of optical metrology in tomographic additive manufacturing

Cited by 2 publications

References 8 publications

Generalized projection optimization model for tomographic volumetric additive manufacturing

Generalized projection optimization model for tomographic volumetric additive manufacturing

Optical Imaging Methods for Volumetric Additive Manufacturing

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