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Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces

This paper presents a novel weld groove parametrization algorithm, which is developed specifically for weld grooves in typical stub and butt joints between large tubular elements. The procedure is based on random sample consensus (RANSAC) with additionally proposed correction steps, including a corn...

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Detalles Bibliográficos
Autores principales: Cibicik, Andrej, Tingelstad, Lars, Egeland, Olav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309933/
https://www.ncbi.nlm.nih.gov/pubmed/34300530
http://dx.doi.org/10.3390/s21144791
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author Cibicik, Andrej
Tingelstad, Lars
Egeland, Olav
author_facet Cibicik, Andrej
Tingelstad, Lars
Egeland, Olav
author_sort Cibicik, Andrej
collection PubMed
description This paper presents a novel weld groove parametrization algorithm, which is developed specifically for weld grooves in typical stub and butt joints between large tubular elements. The procedure is based on random sample consensus (RANSAC) with additionally proposed correction steps, including a corner correction step for grooves with narrow root weld, and an iterative error elimination step for improving the initially obtained data fit. The problem of curved groove sides (due to the pipe geometry) is attributed and solved. In addition, the procedure detects and eliminates several types of data noise due to laser line reflections. The performance of the procedure is studied experimentally using small-scale test objects, which have been ground using typical industrial power tools to achieve a realistic level of reflections. The execution times and data fit errors of the proposed procedure are compared to a procedure based on a more conventional RANSAC approach for line segment detection.
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spelling pubmed-83099332021-07-25 Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces Cibicik, Andrej Tingelstad, Lars Egeland, Olav Sensors (Basel) Article This paper presents a novel weld groove parametrization algorithm, which is developed specifically for weld grooves in typical stub and butt joints between large tubular elements. The procedure is based on random sample consensus (RANSAC) with additionally proposed correction steps, including a corner correction step for grooves with narrow root weld, and an iterative error elimination step for improving the initially obtained data fit. The problem of curved groove sides (due to the pipe geometry) is attributed and solved. In addition, the procedure detects and eliminates several types of data noise due to laser line reflections. The performance of the procedure is studied experimentally using small-scale test objects, which have been ground using typical industrial power tools to achieve a realistic level of reflections. The execution times and data fit errors of the proposed procedure are compared to a procedure based on a more conventional RANSAC approach for line segment detection. MDPI 2021-07-13 /pmc/articles/PMC8309933/ /pubmed/34300530 http://dx.doi.org/10.3390/s21144791 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cibicik, Andrej
Tingelstad, Lars
Egeland, Olav
Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title_full Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title_fullStr Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title_full_unstemmed Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title_short Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces
title_sort laser scanning and parametrization of weld grooves with reflective surfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309933/
https://www.ncbi.nlm.nih.gov/pubmed/34300530
http://dx.doi.org/10.3390/s21144791
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