综述3D打印混凝土的几何与表面质量控制技术，助力建筑增材制造高质量发展。
A Review on Geometry and Surface Inspection in 3D Concrete Printing
- 系统梳理打印过程中的四类数据采集技术及其优劣
- 提出从打印到装配全周期的质量控制策略
- 适合建筑智能建造、质检算法研究者参考
随着建筑增材制造（AMC）应用规模迅速扩大，打印构件质量保障愈发重要，其结构复杂性远超传统制造。本研究聚焦于以挤出和喷射混凝土为主的3D混凝土打印（3DCP）技术，在几何与表面质量控制方面开展全面综述。深入分析了四类数据采集技术在AMC中的适用性与局限性，并探讨环境条件与材料特性对数据获取的影响。进一步提出了面向不同传感器的自动化数据采集规划方法。同时，覆盖打印中、层间、预组装及组装四个阶段的质量控制策略。在回顾现有方法基础上，识别关键研究空白，展望未来趋势，并指出可借鉴邻域（如工业视觉检测）的潜在技术路径。
原文摘要 · Abstract (English)
Given the substantial growth in the use of additive manufacturing in construction (AMC), it is necessary to ensure the quality of printed specimens which can be much more complex than conventionally manufactured parts. This study explores the various aspects of geometry and surface quality control for 3D concrete printing (3DCP), with a particular emphasis on deposition-based methods, namely extrusion and shotcrete 3D printing (SC3DP). A comprehensive overview of existing quality control (QC) methods and strategies is provided and preceded by an in-depth discussion. Four categories of data capture technologies are investigated and their advantages and limitations in the context of AMC are discussed. Additionally, the effects of environmental conditions and objects' properties on data capture are also analyzed. The study extends to automated data capture planning methods for different sensors. Furthermore, various quality control strategies are explored across different stages of the fabrication cycle of the printed object including: (i) During printing, (ii) Layer-wise, (iii) Preassembly, and (iv) Assembly. In addition to reviewing the methods already applied in AMC, we also address various research gaps and future trends and highlight potential methodologies from adjacent domains that could be transferred to AMC.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。