Yuan, J, Chen, G, Li, H et al. (2 more authors) (2021) Accurate and Computational: A review of color reproduction in Full-color 3D printing. Materials & Design, 209. 109943. ISSN 0261-3069
Abstract
As functional 3D printing becomes more popular with industrial manufacturing applications, it is time to start discussing high-fidelity appearance reproduction of 3D objects, particularly in faithful colors. To date, there is only limited research on accurate color reproduction and on universal color reproduction method for different color 3D printing materials. To systematically understand colorization principles and color transmission in color 3D printing, an exhaustive literature review is stated to show the state of the art of color reproduction methods for full-color 3D printing, such as optical parameter modeling, colorimetric difference evaluation, computer aided colorization and voxel droplet jetting. Meanwhile, the challenges in developing an accurate color reproduction framework suitable for different printing materials are fully analyzed in this literature review. In full-color 3D printing, coloring, rendering and acquisition constitute the core issues for accurate color reproduction, and their specific concepts are explained in concrete examples. Finally, the future perspectives of a universal color reproduction framework for accurate full-color 3D printing are discussed, which can overcome the limitations of printing materials, combined with computational boundary contoning.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | 3D printing; Color reproduction; Material modeling; Quality evaluation; Digital Fabrication |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jul 2021 09:00 |
Last Modified: | 07 Jul 2021 09:00 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.matdes.2021.109943 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175930 |