Tian Jieni, Yuan Jiangping, Li Hua, Yao Danyang, Chen Guangxue
State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China.
Institute for Visualization and Data Analysis, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Materials (Basel). 2021 Feb 4;14(4):736. doi: 10.3390/ma14040736.
Color 3D printing allows for 3D-printed parts to represent 3D objects more realistically, but its surface color quality evaluation lacks comprehensive objective verification considering printing materials. In this study, a unique test model was designed and printed using eco-friendly and vivid paper-based full-color 3D printing as an example. By measuring the chromaticity, roughness, glossiness, and whiteness properties of 3D-printed surfaces and by acquiring images of their main viewing surfaces, this work skillfully explores the correlation between the color representation of a paper-based 3D-printed coloring layer and its attached underneath blank layer. Quantitative analysis was performed using ΔE*, feature similarity index measure of color image (FSIMc), and improved color-image-difference (iCID) values. The experimental results show that a color difference on color-printed surfaces exhibits a high linear correlation trend with its FSIMc metric and iCID metric. The qualitative analysis of microscopic imaging and the quantitative analysis of the above three surface properties corroborate the prediction of the linear correlation between color difference and image-based metrics. This study can provide inspiration for the development of computational coloring materials for additive manufacturing.
彩色3D打印能使3D打印部件更逼真地呈现3D物体，但其表面颜色质量评估在考虑打印材料方面缺乏全面客观的验证。在本研究中，以环保且色彩鲜艳的纸质全彩3D打印为例，设计并打印了一个独特的测试模型。通过测量3D打印表面的色度、粗糙度、光泽度和白度属性，并获取其主视表面的图像，本研究巧妙地探究了纸质3D打印着色层与其下方附着的空白层之间的颜色呈现相关性。使用ΔE*、彩色图像的特征相似性指数度量（FSIMc）和改进的彩色图像差异（iCID）值进行了定量分析。实验结果表明，彩色打印表面的色差与其FSIMc度量和iCID度量呈现出高度的线性相关趋势。微观成像的定性分析以及上述三种表面属性的定量分析证实了色差与基于图像的度量之间线性相关性的预测。本研究可为增材制造的计算着色材料的开发提供启示。
