Computational design of nanostructural color for additive manufacturing

Auzinger, Thomas; Heidrich, Wolfgang; Bickel, Bernd

doi:10.1145/3197517.3201376

Cited by 36 publications

(23 citation statements)

References 64 publications

(67 reference statements)

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“…We also follow this approach and summarize the resulting equations in Section 3. Auzinger et al [2018] also successfully employed a similar formulation to optimize 3D printed nanostructures for desired light transport properties such as refraction. Bern et al [2019] use a direct sensitivity analysis approach to optimize for cyclic locomotion trajectories of soft robots.…”

Section: Related Workmentioning

confidence: 99%

Real2Sim

et al. 2019

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This paper presents a method for optimizing visco-elastic material parameters of a finite element simulation to best approximate the dynamic motion of real-world soft objects. We compute the gradient with respect to the material parameters of a least-squares error objective function using either direct sensitivity analysis or an adjoint state method. We then optimize the material parameters such that the simulated motion matches real-world observations as closely as possible. In this way, we can directly build a useful simulation model that captures the visco-elastic behaviour of the specimen of interest. We demonstrate the effectiveness of our method on various examples such as numerical coarsening, custom-designed objective functions, and of course real-world flexible elastic objects made of foam or 3D printed lattice structures, including a demo application in soft robotics.

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Section: Related Workmentioning

confidence: 99%

Real2Sim

et al. 2019

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“…This species of butterfly has been used as a case study by others as well (Sun [Sun06], for example). Another use of FDTD in graphics is to compute a nanostructure that exhibits a particular reflectance colour and fabricating a surface with this structure using additive manufacturing [AHB18]. The main objection to FDTD seems to be that it would be extremely time consuming to compute a collective scattering distribution function if the microgeometry of interest has an extent of a cubic millimetre or more [WVJH17].…”

Section: Field Modelsmentioning

confidence: 99%

Survey of Models for Acquiring the Optical Properties of Translucent Materials

Frisvad

Jensen²,

Madsen³

et al. 2020

Computer Graphics Forum

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The outset of realistic rendering is a desire to reproduce the appearance of the real world. Rendering techniques therefore operate at a scale corresponding to the size of objects that we observe with our naked eyes. At the same time, rendering techniques must be able to deal with objects of nearly arbitrary shapes and materials. These requirements lead to techniques that oftentimes leave the task of setting the optical properties of the materials to the user. Matching the appearance of real objects by manual adjustment of optical properties is however nearly impossible. We can render objects with a plausible appearance in this way but cannot compare the appearance of a manufactured item to that of its digital twin. This is especially true in the case of translucent objects, where we need more than a goniometric measurement of the optical properties. In this survey, we provide an overview of forward and inverse models for acquiring the optical properties of translucent materials. We map out the efforts in graphics research in this area and describe techniques available in related fields. Our objective is to provide a better understanding of the tools currently available for appearance specification when it comes to digital representations of real translucent objects.

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“…Also, localized color micropatterns were achieved on an ordered coassembly of polystyrene/silicon dioxide photonic crystals films by degrading the polystyrene beads through a multiphoton effect . The increased resolution in 3D techniques for structural color printing led to the development of computationally designed structural color patterns, representing the first step toward the rational design of 3D‐printed structural colorizations …”

Section: Introductionmentioning

confidence: 99%

3D‐Printed Microrobots with Integrated Structural Color for Identification and Tracking

Koepele

Guix

et al. 2020

Advanced Intelligent Systems

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The implementation of two‐photon polymerization (TPP) in the microrobotics community has permitted the fabrication of complex 3D structures at the microscale, creating novel platforms with potential biomedical applications for minimizing procedure invasiveness and diagnosis accuracy. Although advanced functionalities for manipulation and drug delivery tasks have been explored, one remaining challenge is achieving improved visualization, identification, and accurate closed‐loop control of microscale robots. To enable this, distinguishable identifying and trackable features must be included on the microrobot. Toward this end, the construction of micro‐ and nanoscale patterns using TPP is demonstrated for the first time on microrobot surfaces with the intent of mimicking color‐expressing nanostructures present on beetles or butterflies. The patterns provide identification and tracking targets due to their vivid color expression under visible light. Helical and rectangular microrobots are designed with the topical patterns and further functionalized with magnetic materials to be externally actuated by magnetic fields. Vision‐based tracking of a 20 μm × 30 μm colored feature on a 100 μm‐long helical microrobot using a fixed angular position light source during microrobotic motion is shown. This versatile structural color patterning approach shows great potential for the visual differentiation of various microrobots and tracking for improved closed‐loop control.

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Computational design of nanostructural color for additive manufacturing

Cited by 36 publications

References 64 publications

Real2Sim

Real2Sim

Survey of Models for Acquiring the Optical Properties of Translucent Materials

3D‐Printed Microrobots with Integrated Structural Color for Identification and Tracking

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