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Proceedings Paper

A vision-based automatic alignment technology for color 3D additive manufacturing system with multiple print head
Author(s): Ming-Jong Tsai; Chien-Rai Li; Yi-Kai Huang
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Paper Abstract

The main purpose of this paper is to develop an automatic print head alignment algorithm for a material jetting-based color 3D additive manufacturing system. This printing system has six print heads, respectively, filled with six different photocurable resin (C, M, Y, K, W) and support. Start of all, the printing system with initial parameters prints a standard platform, which is used to confirm whether the print head is aligned well or not. Next, a scanner is used to gain the printed image. An image processing algorithm is used to get the characteristic points of the capture image and calculate the compensation parameters, which will be imported to the printing system and make the system aligned well. This paper proposed an automatic smart print head alignment algorithm, which can be used on multiple print head based- 3D additive manufacturing system. Replacing of human alignment, this technology can save more time and reduce the error. It also can automatically work and oversee the system in real-time, which will improve the quality and the color performance of the printed products.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083609 (29 October 2018); doi: 10.1117/12.2504488
Show Author Affiliations
Ming-Jong Tsai, National Taiwan Univ. of Science and Technology (Taiwan)
Chien-Rai Li, National Taiwan Univ. of Science and Technology (Taiwan)
Yi-Kai Huang, National Taiwan Univ. of Science and Technology (Taiwan)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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