Advanced welding automation: Intelligent systems for multipass welding in Butt Double V-Groove and Tee Double Bevel configurations

Date

2024-12-01

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

Impacto

Abstract

The paper addresses the imperative shift towards automation in welding processes, leveraging advanced technologies such as industrial robotic systems. Focusing on the reconstruction and classification of weld joints, it introduces a methodology for automatic trajectory determination. Utilizing a laser profilometer mounted on the robot, weld joints are reconstructed in three di- mensions, and spurious data is filtered out through signal processing. A classification algorithm, integrating signal processing and artificial intelligence, accurately categorizes joint profiles, in- cluding V-joints and single bevel T-joints. The proposed intelligent and adaptive system enhances welding automation by analyzing point cloud data from laser scanning to optimize welding tra- jectories. This study establishes a foundational framework for further refinement and broader application in welding automation. Key Points

  • Introduction of a methodology for automated trajectory determination in welding processes.
  • Utilization of laser scanning and signal processing for reconstruction and classification of weld joints.
  • Implementation of an intelligent and adaptive system to optimize welding trajectories

Description

Keywords

Robotic welding, Path optimization, Thick joints, Neuronal networks, Symmetry

Department

Ingeniería / Ingeniaritza

Faculty/School

Degree

Doctorate program

item.page.cita

Curiel, D., Suarez, A., Veiga, F., Aldalur, E., Villanueva, P. (2024). Advanced welding automation: Intelligent systems for multipass welding in Butt Double V-Groove and Tee Double Bevel configurations. MethodsX, 13, 1-10. https://doi.org/10.1016/j.mex.2024.103027.

item.page.rights

©2024 The Author(s). This is an open access article under the CC BY-NC-ND license.

Licencia

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