Reality Capture Technologies for Automated Quality Control during Construction 3D Printing

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

A low-cost 2D LiDAR sensor and a near real-Time data processing algorithm are used in this study to capture the as-built geometry of the freshly printed layers for inline and automated inspection. The accuracy of the proposed system is evaluated under different conditions and layer dimensions. Based on the obtained results, significant improvements were observed after a statistical approach was used for outlier detection and elimination. Maximum error values of less than 1.1 mm were achieved for inline layer width and height measurements using the proposed approach.

Publication Source (Journal or Book title)

Computing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

First Page

361

Last Page

370

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