3D Printing Deformation Estimation Using Artificial Vision Strategies for Smart-Construction

Juan Villacrés, Robert Guamán, Oswaldo Menendez, Fernando Auat Cheein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Additive manufacturing is a disruptive technology that enables the efficient construction of lighter and stronger concrete structures. In general, fabrication procedures are produced by industrial 3D printers, which constantly deposit concrete to ensure high building standards and reduce potential deformations in generated components. However, the deposition rate of building materials remains an empirical and heuristic procedure that depends on prior knowledge of the model. This work introduces a methodology to automatically detect deformations in printed layers by analyzing the 3D characterization of concrete structures. To this end, the performance of a monocular camera, LiDAR, and LiDAR-camera is studied according to point cloud density and 3D map reconstruction. In addition, a portable ground-based system for detecting possible deformations is conceived, manufactured, and experimentally tested. Empirical findings show that the proposed system is capable of detecting printed layer variation with a low error of 0.3%, revealing that the low-cost sensors can be an autonomous and highly reliable solution for deformation detection in concrete structures.

Original languageEnglish
Title of host publication47th Annual Conference of the IEEE Industrial Electronics Society 2021
PublisherIEEE
ISBN (Electronic)9781665435543
DOIs
Publication statusPublished - 10 Nov 2021
Event47th Annual Conference of the IEEE Industrial Electronics Society 2021 - Toronto, Canada
Duration: 13 Oct 202116 Oct 2021

Conference

Conference47th Annual Conference of the IEEE Industrial Electronics Society 2021
Abbreviated titleIECON 2021
Country/TerritoryCanada
CityToronto
Period13/10/2116/10/21

Keywords

  • Additive manufacturing
  • artificial intelligence
  • prefabricated construction
  • Robot vision systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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