3D打印制备人工集料及性能研究

摘要/Abstract

摘要： 受岩石种类及力学性能的影响,传统工艺所生产的集料形态存在明显差异,难以定性和定量研究其对沥青混合料性能的影响。因此,本文基于3D打印技术,提出一种形态特征、粒径和体积可调控的人工集料制备方法。首先,扫描并获取不同形态特征集料的三维模型,调整获取模型的粒径及体积,以聚乳酸(PLA)为原材料,3D打印特定形态、粒径和体积的集料颗粒。然后,使用硅胶复模方法,以水泥砂浆为原材料,制备具有特定形态特征的人工集料。结果表明,所制备人工集料的表面积误差小于6%,体积误差小于3%,压碎值、磨耗值、坚固性、黏附性等级等质量技术指标均符合规范要求。通过3D打印技术,可制备形态特征良好、具有特定粒径和体积的人工集料用于代替天然集料,为进一步开展集料形态特征对沥青混合料性能影响的相关研究提供技术支撑。

关键词: 道路工程, 人工集料, 3D打印技术, 粒径, 几何参数, 性能评价

Abstract: Due to the influences of rock types and mechanical properties, the obvious differences of morphological characteristics are existed in the aggregate produced by conventional technologies. It is difficult to qualitatively-quantitatively study the influences of aggregate morphological characteristics on the performance of asphalt mixture. Therefore, a preparation method of artificial aggregates with adjustable morphological characteristics, mesh size and volume was proposed based on 3D printing technology in this study. First, three-dimensional models of aggregates with different morphological characteristics were obtained by scanner, and the mesh size and volume of the models were adjusted by the software. The polylatic acid (PLA) was used as raw material to 3D print aggregate particles with specific morphology, mesh size and volume. Then, cement mortar was selected as raw material and silicone replication method was used to prepare artificial aggregates with specific morphological characteristics. The results show that the surface area error of the prepared artificial aggregates is less than 6% and the volume error is less than 3%. The performance indicators of crushing value, wear loss value, firmness and adhesion grade meet the specification requirements. Based on 3D printing technology, the artificial aggregates with good morphological characteristics, specific mesh size and volume can be made to replace natural aggregates. It provides technical support for further research on the influences of aggregate morphological characteristics on asphalt mixture performance.

Key words: road engineering, artificial aggregate, 3D printing technology, mesh size, geometric parameter, performance assessment

中图分类号:

U414

龚芳媛, 拜佳威, 王书岳, 邓锐, 程雪佼. 3D打印制备人工集料及性能研究[J]. 硅酸盐通报, 2023, 42(1): 352-363.

GONG Fangyuan, BAI Jiawei, WANG Shuyue, DENG Rui, CHENG Xuejiao. Preparation and Performance of Artificial Aggregateby 3D Printing[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2023, 42(1): 352-363.

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