Abstract
The use of mask-image-projection-based stereolithography process (MIP-SL) in additive manufacturing (AM)for 3D printing of bio-scaffold materials is becoming more widespread. In general, mask optimization, frame compensation, and resin material performance improvement were adopted to improve the curing accuracy of resin in MIP-SL process. In this paper, a mask optimization scheme based on image segmentation technology is developed, where the mask is divided into multiple little squares, hexagons, and triangles. The large-area warping deformation in MIP-SL is therefore transformed to a multiple small area distortion. Digital image correlation (DIC) method is applied to measure the effect of using mask image planning in bio-scaffolds MIP-SL process. A platform of bio-scaffolds resin shrinkage measurement based on DIC method was built to measure the resin deformation under distinct mask image planning. The results show that the deformation of the bio-scaffolds resin during the light-cured process will increase sharply at first and then tend to decrease partially. In addition, shrinkage of square segmentation and hexagon segmentation are reduced by 33% and 27%, respectively. However, the shrinkage of triangle segmentation is hardly reduced because the required time is twice as that of the other two methods.
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Funding
The study was supported by the National Natural Science Foundation of China (No. 51875214), Science and Technology Program of Guangzhou, China (No. 201804010452), and Natural Science Foundation of Guangdong Province, China (No. 2016A030311052).
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Liu, W., Deng, T., Sun, D. et al. A study of mask planning in projection-based stereolithography using digital image correlation. Int J Adv Manuf Technol 104, 451–461 (2019). https://doi.org/10.1007/s00170-019-03778-z
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DOI: https://doi.org/10.1007/s00170-019-03778-z