Analysis and Prediction of Concrete 3D Printing Molding Precision Based on Oblique Photography

Xue-hui ZHANG , Shuang-shuang ZHAO , Xiong-zi CHEN , Jun-hai AN , Shu-yu ZHENG

Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (8) : 3356 -3365.

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Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (8) : 3356-3365 DOI: 10.12404/j.issn.1671-1815.2304026
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Analysis and Prediction of Concrete 3D Printing Molding Precision Based on Oblique Photography
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Abstract

The 3D printing of concrete isa new kind of additive manufacturing technology, the iterative closest point method and oblique photogrammetry technology were used to examine the overall deviation, local boundary deviation, and arc angle radius of 3D printed components in order to accomplish the quick manufacturing of high-quality molded components using concrete 3D printing technology. The forming accuracy and buildability were examined in relation to the overall deviation and border deviation. Finally, the printing model was predicted using the border deviation and arc angle radius. The findings demonstrate that the highest forming accuracy of the component is achieved when the mix ratio for concrete 3D printing is cement: sand∶ fly ash∶ water reducing agent∶ coagulant∶ water=1∶ 1.12∶ 0.09∶ 0.004∶ 0.006∶ 0.32, the printing speed Vd is 45 mm/s, and the ideal extrusion speed Vj is 138 mm/s. The chromatogram is marked for its particular position deviation, and the oblique photography model is fitted, aligned, and aligned. It is clear that the concrete component created by 3D printing has a low constructability and significant compressive deformation at the fourth layer. By fitting the prediction model with the concrete 3D printing solid component, it can be seen that the error between the prediction model and the benchmark model is about 1 mm, which verifies the rationality of the proposed method and the prediction model.

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Xue-hui ZHANG, Shuang-shuang ZHAO, Xiong-zi CHEN, Jun-hai AN, Shu-yu ZHENG. Analysis and Prediction of Concrete 3D Printing Molding Precision Based on Oblique Photography. Science Technology and Engineering, 2024, 24(8): 3356-3365 DOI:10.12404/j.issn.1671-1815.2304026

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