Data processing for multi-material 3D bioprinting
Two distinct methods have been used for file preparation in bioprinting. Firstly, a common printing method in bioprinting is to form lattice structures from repetitive layering of horizontal and vertical hydrogel grids. In the second approach, 3D models are sliced into different layers and G-code...
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sg-ntu-dr.10356-882182020-09-24T20:11:56Z Data processing for multi-material 3D bioprinting Lee, Jia Min Yeong, Wai Yee School of Mechanical and Aerospace Engineering Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) Singapore Centre for 3D Printing DRNTU::Engineering::Mechanical engineering::Prototyping 3D Bioprinting Additive Manufacturing Two distinct methods have been used for file preparation in bioprinting. Firstly, a common printing method in bioprinting is to form lattice structures from repetitive layering of horizontal and vertical hydrogel grids. In the second approach, 3D models are sliced into different layers and G-codes matching the contour of the model is uploaded into the bioprinter as per each z layer increment. This processing method follows similar steps as 3D printing. To fully utilize the capability of 3D bioprinting, it is essential to evolve from repetitive layering of materials into printing with complex geometries. Of which, one of the considerations in hydrogel-based bioprinting is to strategize printing methods to overcome the limited process window for bioprinting. In this article, different approaches for file preparation in bioprinting is first reviewed. Thereafter, a file segmentation technique is proposed for bioprinting freeform structures. Considerations in terms of material's and machine's capabilities is essential during the file segmentation process. The distinct advantage of bioprinting in using multi-materials deposition is used to form 3D bioprinted construct in a build/support configuration. Lastly, a case study on bioprinting a free-standing coil is displayed to highlight the advantages of the proposed file segmentation technique. Published version 2018-08-30T02:14:46Z 2019-12-06T16:58:28Z 2018-08-30T02:14:46Z 2019-12-06T16:58:28Z 2018 Conference Paper Lee, J. M., & Yeong, W. Y. (2018). Data processing for multi-material 3D bioprinting. Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018), 164-169. doi:10.25341/D4X599 https://hdl.handle.net/10356/88218 http://hdl.handle.net/10220/45751 10.25341/D4X599 en © 2018 Nanyang Technological University. Published by Nanyang Technological University, Singapore. 6 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering::Prototyping 3D Bioprinting Additive Manufacturing Lee, Jia Min Yeong, Wai Yee Data processing for multi-material 3D bioprinting |
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Two distinct methods have been used for file preparation in bioprinting. Firstly, a
common printing method in bioprinting is to form lattice structures from repetitive layering of
horizontal and vertical hydrogel grids. In the second approach, 3D models are sliced into different
layers and G-codes matching the contour of the model is uploaded into the bioprinter as per each z
layer increment. This processing method follows similar steps as 3D printing. To fully utilize the
capability of 3D bioprinting, it is essential to evolve from repetitive layering of materials into
printing with complex geometries. Of which, one of the considerations in hydrogel-based
bioprinting is to strategize printing methods to overcome the limited process window for
bioprinting. In this article, different approaches for file preparation in bioprinting is first reviewed.
Thereafter, a file segmentation technique is proposed for bioprinting freeform structures.
Considerations in terms of material's and machine's capabilities is essential during the file
segmentation process. The distinct advantage of bioprinting in using multi-materials deposition is
used to form 3D bioprinted construct in a build/support configuration. Lastly, a case study on
bioprinting a free-standing coil is displayed to highlight the advantages of the proposed file
segmentation technique. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Lee, Jia Min Yeong, Wai Yee |
format |
Conference or Workshop Item |
author |
Lee, Jia Min Yeong, Wai Yee |
author_sort |
Lee, Jia Min |
title |
Data processing for multi-material 3D bioprinting |
title_short |
Data processing for multi-material 3D bioprinting |
title_full |
Data processing for multi-material 3D bioprinting |
title_fullStr |
Data processing for multi-material 3D bioprinting |
title_full_unstemmed |
Data processing for multi-material 3D bioprinting |
title_sort |
data processing for multi-material 3d bioprinting |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88218 http://hdl.handle.net/10220/45751 |
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1681057266441125888 |