Shrinkage prediction and correction in material extrusion of cellulose-chitin biopolymers using neural network regression
Loss of geometric accuracy due to shrinkage is a challenge in material extrusion of biological composites using water-based inks, such as the cellulose-chitin biopolymers used here. The shape of 3D printed objects often departs from the intended design geometry due to evaporative loss of water durin...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Virtual and Physical Prototyping |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17452759.2023.2225039 |