Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding

David Curiel; Fernando Veiga; Alfredo Suárez; Pedro Villanueva; Eider Aldalur

doi:10.4028/p-2m9SQo

Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding

David Curiel, Fernando Veiga^*, Alfredo Suárez, Pedro Villanueva, Eider Aldalur

^*Autor correspondiente de este trabajo

Fabricación Inteligente

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Automation of welding with robotic arms has become an inevitable trend in modern manufacturing technologies. This process can be automated by using a "click and go" in which the robot will weld a line where the spot is described or by using an in-line tracking algorithm in which the robot will choose the spot where to weld the line in each layer. This paper presents a simple methodology for the reconstruction of the weld joint and the classification of the joint geometry to serve as a first step to the automatic determination of the robot trajectory. The weld joint has been reconstructed using a laser profilometer placed as a tool on the robot. Spurious data has been removed by signal processing. The joint has been reconstructed three-dimensionally. The classification of the joint profiles was generated using an algorithm based on signal processing and artificial intelligence. This algorithm has been tested for the classification of V-joints (bevel-bevel) and single bevel joints.

Idioma original	Inglés
Título de la publicación alojada	Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023
Editores	Domingo Morales-Palma, Andrés J. Martínez-Donaire, Marcos Borrego, Gabriel Centeno, Carpóforo Vallellano
Editorial	Trans Tech Publications Ltd
Páginas	120-128
Número de páginas	9
ISBN (versión impresa)	9783036404240
DOI	https://doi.org/10.4028/p-2m9SQo
Estado	Publicada - 2023
Evento	10th Manufacturing Engineering Society International Conference, MESIC 2023 - Sevilla , Espana Duración: 28 jun 2023 → 30 jun 2023

Serie de la publicación

Nombre	Advances in Science and Technology
Volumen	132 AST
ISSN (versión impresa)	1662-8969
ISSN (versión digital)	1662-0356

Conferencia

Conferencia	10th Manufacturing Engineering Society International Conference, MESIC 2023
País/Territorio	Espana
Ciudad	Sevilla
Período	28/06/23 → 30/06/23

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Curiel, D., Veiga, F., Suárez, A., Villanueva, P., & Aldalur, E. (2023). Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding. En D. Morales-Palma, A. J. Martínez-Donaire, M. Borrego, G. Centeno, & C. Vallellano (Eds.), Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023 (pp. 120-128). (Advances in Science and Technology; Vol. 132 AST). Trans Tech Publications Ltd. https://doi.org/10.4028/p-2m9SQo

Curiel, David ; Veiga, Fernando ; Suárez, Alfredo et al. / Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding. Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023. editor / Domingo Morales-Palma ; Andrés J. Martínez-Donaire ; Marcos Borrego ; Gabriel Centeno ; Carpóforo Vallellano. Trans Tech Publications Ltd, 2023. pp. 120-128 (Advances in Science and Technology).

@inproceedings{253bc5041580428fb4a2623c35849548,

title = "Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding",

abstract = "Automation of welding with robotic arms has become an inevitable trend in modern manufacturing technologies. This process can be automated by using a {"}click and go{"} in which the robot will weld a line where the spot is described or by using an in-line tracking algorithm in which the robot will choose the spot where to weld the line in each layer. This paper presents a simple methodology for the reconstruction of the weld joint and the classification of the joint geometry to serve as a first step to the automatic determination of the robot trajectory. The weld joint has been reconstructed using a laser profilometer placed as a tool on the robot. Spurious data has been removed by signal processing. The joint has been reconstructed three-dimensionally. The classification of the joint profiles was generated using an algorithm based on signal processing and artificial intelligence. This algorithm has been tested for the classification of V-joints (bevel-bevel) and single bevel joints.",

keywords = "GMAW, Part inspection, Profilometry, Robotic welding, Symmetry",

author = "David Curiel and Fernando Veiga and Alfredo Su{\'a}rez and Pedro Villanueva and Eider Aldalur",

note = "Publisher Copyright: {\textcopyright} 2023 Trans Tech Publications Ltd, Switzerland.; 10th Manufacturing Engineering Society International Conference, MESIC 2023 ; Conference date: 28-06-2023 Through 30-06-2023",

year = "2023",

doi = "10.4028/p-2m9SQo",

language = "English",

isbn = "9783036404240",

series = "Advances in Science and Technology",

publisher = "Trans Tech Publications Ltd",

pages = "120--128",

editor = "Domingo Morales-Palma and Mart{\'i}nez-Donaire, \{Andr{\'e}s J.\} and Marcos Borrego and Gabriel Centeno and Carp{\'o}foro Vallellano",

booktitle = "Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023",

}

Curiel, D, Veiga, F, Suárez, A, Villanueva, P & Aldalur, E 2023, Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding. En D Morales-Palma, AJ Martínez-Donaire, M Borrego, G Centeno & C Vallellano (eds.), Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023. Advances in Science and Technology, vol. 132 AST, Trans Tech Publications Ltd, pp. 120-128, 10th Manufacturing Engineering Society International Conference, MESIC 2023, Sevilla , Espana, 28/06/23. https://doi.org/10.4028/p-2m9SQo

Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding. / Curiel, David; Veiga, Fernando; Suárez, Alfredo et al.
Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023. ed. / Domingo Morales-Palma; Andrés J. Martínez-Donaire; Marcos Borrego; Gabriel Centeno; Carpóforo Vallellano. Trans Tech Publications Ltd, 2023. p. 120-128 (Advances in Science and Technology; Vol. 132 AST).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding

AU - Curiel, David

AU - Veiga, Fernando

AU - Suárez, Alfredo

AU - Villanueva, Pedro

AU - Aldalur, Eider

PY - 2023

Y1 - 2023

N2 - Automation of welding with robotic arms has become an inevitable trend in modern manufacturing technologies. This process can be automated by using a "click and go" in which the robot will weld a line where the spot is described or by using an in-line tracking algorithm in which the robot will choose the spot where to weld the line in each layer. This paper presents a simple methodology for the reconstruction of the weld joint and the classification of the joint geometry to serve as a first step to the automatic determination of the robot trajectory. The weld joint has been reconstructed using a laser profilometer placed as a tool on the robot. Spurious data has been removed by signal processing. The joint has been reconstructed three-dimensionally. The classification of the joint profiles was generated using an algorithm based on signal processing and artificial intelligence. This algorithm has been tested for the classification of V-joints (bevel-bevel) and single bevel joints.

AB - Automation of welding with robotic arms has become an inevitable trend in modern manufacturing technologies. This process can be automated by using a "click and go" in which the robot will weld a line where the spot is described or by using an in-line tracking algorithm in which the robot will choose the spot where to weld the line in each layer. This paper presents a simple methodology for the reconstruction of the weld joint and the classification of the joint geometry to serve as a first step to the automatic determination of the robot trajectory. The weld joint has been reconstructed using a laser profilometer placed as a tool on the robot. Spurious data has been removed by signal processing. The joint has been reconstructed three-dimensionally. The classification of the joint profiles was generated using an algorithm based on signal processing and artificial intelligence. This algorithm has been tested for the classification of V-joints (bevel-bevel) and single bevel joints.

KW - GMAW

KW - Part inspection

KW - Profilometry

KW - Robotic welding

KW - Symmetry

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U2 - 10.4028/p-2m9SQo

DO - 10.4028/p-2m9SQo

M3 - Conference contribution

AN - SCOPUS:85175174389

SN - 9783036404240

T3 - Advances in Science and Technology

SP - 120

EP - 128

BT - Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023

A2 - Morales-Palma, Domingo

A2 - Martínez-Donaire, Andrés J.

A2 - Borrego, Marcos

A2 - Centeno, Gabriel

A2 - Vallellano, Carpóforo

PB - Trans Tech Publications Ltd

T2 - 10th Manufacturing Engineering Society International Conference, MESIC 2023

Y2 - 28 June 2023 through 30 June 2023

ER -

Curiel D, Veiga F, Suárez A, Villanueva P, Aldalur E. Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding. En Morales-Palma D, Martínez-Donaire AJ, Borrego M, Centeno G, Vallellano C, editores, Selected peer-reviewed full text papers from the 10th Manufacturing Engineering Society International Conference, MESIC 2023. Trans Tech Publications Ltd. 2023. p. 120-128. (Advances in Science and Technology). doi: 10.4028/p-2m9SQo

Weld joint reconstruction and classification algorithm for trajectory generation in robotic welding

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