Minimizing Polymer Curl Distortion and Heat Impact to Improve Digital Light Processing Printing Accuracy via Subdivision Method

Curl distortion has been a persistent challenge for vat photopolymerization‐based printing technology such as digital light processing (DLP), leading to structural deformation and print failures. This study presents a new approach to mitigate curling distortion and heat effects during DLP printing by dividing the printing layer image into sequential subimages, using a breadth‐first search algorithm. The progressive curing process, resembling a ripple pattern, results in a significant improvement in printing accuracy. The deviation is reduced tenfold when the layer image is divided into subimages with 10 pixels for a 32 mm diameter disc. Additionally, subdivision strategy helps to reduce the heat effect during photopolymerization, as monitored in situ by a long‐wave infrared camera. The successful reduction of residual stress using the subdivision strategy results in a 75% improvement in the mechanical performance of the printed products. The simple adoption of subdivision strategy in practical 3D printing applications is also demonstrated. For solid 3D printing structures, introducing intervals within the solid printing layers—such as using a grid structure instead of a fully solid one, can help to reduce curling and heat effects, thereby improving 3D printing accuracy.

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Publication Details

Journal
Advanced Engineering Materials
Published
2024-11-08
DOI
https://doi.org/10.1002/adem.202401674
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.41

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article

Minimizing Polymer Curl Distortion and Heat Impact to Improve Digital Light Processing Printing Accuracy via Subdivision Method

Yi Ting Chong, Peng Jin, Andrew Chun Yong Ngo, Vinod Kumar Sivaraja et al.
2 citations
Advanced Engineering Materials
Additive Manufacturing and 3D Printing Technologies
0.41
article

Minimizing Polymer Curl Distortion and Heat Impact to Improve Digital Light Processing Printing Accuracy via Subdivision Method

Yi Ting Chong, Peng Jin, Andrew Chun Yong Ngo, Vinod Kumar Sivaraja, Fuke Wang, Yang Zhao, Sirawit Pruksawan
article en
2 citations

Abstract

Curl distortion has been a persistent challenge for vat photopolymerization‐based printing technology such as digital light processing (DLP), leading to structural deformation and print failures. This study presents a new approach to mitigate curling distortion and heat effects during DLP printing by dividing the printing layer image into sequential subimages, using a breadth‐first search algorithm. The progressive curing process, resembling a ripple pattern, results in a significant improvement in printing accuracy. The deviation is reduced tenfold when the layer image is divided into subimages with 10 pixels for a 32 mm diameter disc. Additionally, subdivision strategy helps to reduce the heat effect during photopolymerization, as monitored in situ by a long‐wave infrared camera. The successful reduction of residual stress using the subdivision strategy results in a 75% improvement in the mechanical performance of the printed products. The simple adoption of subdivision strategy in practical 3D printing applications is also demonstrated. For solid 3D printing structures, introducing intervals within the solid printing layers—such as using a grid structure instead of a fully solid one, can help to reduce curling and heat effects, thereby improving 3D printing accuracy.

Advanced Engineering MaterialsVol. 26(24)
Agency for Science, Technology and Research (SG), Shenhua Group (China) (CN), Institute of Materials Research and Engineering (SG)
Agency for Science, Technology and Research
Affordable and clean energy
Openalex Percentile: Top 39%
Additive Manufacturing and 3D Printing Technologies
0.41
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