Intelligent and adaptive system for welding process automation in T-shaped joints
| dc.contributor.author | Aldalur, Eider | |
| dc.contributor.author | Suárez, Alfredo | |
| dc.contributor.author | Curiel Braco, David | |
| dc.contributor.author | Veiga Suárez, Fernando | |
| dc.contributor.author | Villanueva Roldán, Pedro | |
| dc.contributor.department | Ingeniería | es_ES |
| dc.contributor.department | Ingeniaritza | eu |
| dc.date.accessioned | 2023-09-13T18:59:54Z | |
| dc.date.available | 2023-09-13T18:59:54Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-09-13T18:47:01Z | |
| dc.description.abstract | The automation of welding processes requires the use of automated systems and equipment, in many cases industrial robotic systems, to carry out welding processes that previously required human intervention. Automation in the industry offers numerous advantages, such as increased efficiency and productivity, cost reduction, improved product quality, increased flexibility and safety, and greater adaptability of companies to market changes. The field of welding automation is currently undergoing a period of profound change due to a combination of technological, regulatory, and economic factors worldwide. Nowadays, the most relevant aspect of the welding industry is meeting customer requirements by satisfying their needs. To achieve this, the automation of the welding process through sensors and control algorithms ensures the quality of the parts and prevents errors, such as porosity, unfused areas, deformations, and excessive heat. This paper proposes an intelligent and adaptive system based on the measurement of welding joints using laser scanning and the subsequent analysis of the obtained point cloud to adapt welding trajectories. This study focuses on the optimization of T-joints under specific welding conditions and is intended as an initial implementation of the algorithm, thus establishing a basis to be worked on further for a broader welding application. | en |
| dc.description.sponsorship | The authors acknowledge the Basque Government for financing the H2OCEAN project, HAZITEK 2021 program [ZE-2021/00037] and HYSHORE project HAZITEK 2021 program [ZE-2021/00032]. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Aldalur, E., Suárez, A., Curiel, D., Veiga, F., Villanueva, P. (2023) Intelligent and adaptive system for welding process automation in T-shaped joints. Metals, 13(9), 1-12. https://doi.org/10.3390/met13091532. | en |
| dc.identifier.doi | 10.3390/met13091532 | |
| dc.identifier.issn | 2075-4701 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/46319 | |
| dc.language.iso | eng | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Metals 2023, 13(9), 1532 | en |
| dc.relation.publisherversion | https://doi.org/10.3390/met13091532 | |
| dc.rights | © 2023 by the authors. 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. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Welding | en |
| dc.subject | Robotics | en |
| dc.subject | Automation | en |
| dc.subject | Thick joints | en |
| dc.title | Intelligent and adaptive system for welding process automation in T-shaped joints | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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