基于倾斜摄影的混凝土3D打印成型精度分析与预测

张学辉 ,  赵双双 ,  陈雄姿 ,  安军海 ,  郑书玉

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (8) :3356-3365

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科学技术与工程 ›› 2024, Vol. 24 ›› Issue (8) :3356-3365 DOI: 10.12404/j.issn.1671-1815.2304026
建筑科学

基于倾斜摄影的混凝土3D打印成型精度分析与预测

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

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摘要

混凝土3D打印技术是一项新型的增材制造技术,为了实现采用混凝土3D打印技术来快速打印高质量的成型构件,综合利用迭代最近点(iterative closest point, ICP)算法和倾斜摄影测量技术来分析3D打印构件的整体偏差、局部边界偏差和圆弧角半径,并根据整体偏差和边界偏差对成型精度及可建造性进行研究,最后利用边界偏差和圆弧角半径对打印模型进行预测。结果表明:在混凝土3D打印配合比为水泥∶砂∶粉煤灰∶减水剂∶混凝剂∶水 = 1∶ 1.12∶ 0.09∶ 0.004∶ 0.006∶ 0.32,打印速度Vd为45 mm/s,最佳挤出速度Vj为138 mm/s时构件成型精度最高;对倾斜摄影模型拟合对齐,并对其具体位置偏差标注色谱图,可知混凝土3D打印构件在第4层时压缩变形较大,可建造性较低;利用预测模型与混凝土3D打印实体构件进行拟合,可知预测模型与基准模型相比误差约1 mm,验证了所提方法及预测模型的合理性。

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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张学辉, 赵双双, 陈雄姿, 安军海, 郑书玉. 基于倾斜摄影的混凝土3D打印成型精度分析与预测[J]. 科学技术与工程, 2024, 24(8): 3356-3365 DOI:10.12404/j.issn.1671-1815.2304026
ZHANG Xue-hui, ZHAO Shuang-shuang, CHEN Xiong-zi, AN Jun-hai, ZHENG Shu-yu. Analysis and Prediction of Concrete 3D Printing Molding Precision Based on Oblique Photography[J]. Science Technology and Engineering, 2024, 24(8): 3356-3365 DOI:10.12404/j.issn.1671-1815.2304026

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河北省高等学校科学技术研究项目(QN2023079)

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