CVIVMar 10, 2025

A Review on Geometry and Surface Inspection in 3D Concrete Printing

arXiv:2503.07472v18 citationsh-index: 11Cem Concr Res
Originality Synthesis-oriented
AI Analysis

It addresses quality assurance challenges for additive manufacturing in construction, but is incremental as it synthesizes existing knowledge and identifies gaps.

This study reviews geometry and surface quality control methods for 3D concrete printing, focusing on data capture technologies and strategies across fabrication stages, without presenting new experimental results or concrete numbers.

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.

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