research-article

Computational design of nanostructural color for additive manufacturing

Authors:

Thomas Auzinger,

Wolfgang Heidrich,

Bernd BickelAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 37, Issue 4

Article No.: 159, Pages 1 - 16

https://doi.org/10.1145/3197517.3201376

Published: 30 July 2018 Publication History

Abstract

Additive manufacturing has recently seen drastic improvements in resolution, making it now possible to fabricate features at scales of hundreds or even dozens of nanometers, which previously required very expensive lithographic methods. As a result, additive manufacturing now seems poised for optical applications, including those relevant to computer graphics, such as material design, as well as display and imaging applications.

In this work, we explore the use of additive manufacturing for generating structural colors, where the structures are designed using a fabrication-aware optimization process. This requires a combination of full-wave simulation, a feasible parameterization of the design space, and a tailored optimization procedure. Many of these components should be re-usable for the design of other optical structures at this scale.

We show initial results of material samples fabricated based on our designs. While these suffer from the prototype character of state-of-the-art fabrication hardware, we believe they clearly demonstrate the potential of additive nanofabrication for structural colors and other graphics applications.

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Index Terms

Computational design of nanostructural color for additive manufacturing
1. Applied computing
  1. Operations research
    1. Computer-aided manufacturing
2. Hardware
  1. Emerging technologies
    1. Emerging optical and photonic technologies

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 37, Issue 4

August 2018

1670 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3197517

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Published: 30 July 2018

Published in TOG Volume 37, Issue 4

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https://dl.acm.org/doi/10.1145/3687924
Zheng CZhao GSo P(2023)Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Two-Photon Neural Lithography SimulatorSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618251(1-9)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618251
Yu YXia MWalter BMichielssen EMarschner S(2023)A Full-Wave Reference Simulator for Computing Surface ReflectanceACM Transactions on Graphics10.1145/359241442:4(1-17)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592414
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