dc.contributor.author | Aldekoa Gallarza,Iñigo | |
dc.contributor.author | Del Olmo Sanz, Ander | |
dc.contributor.author | Sastoque Pinilla, Edwar Leonardo | |
dc.contributor.author | Sendino Mouliet, Sara | |
dc.contributor.author | López Novoa, Unai | |
dc.contributor.author | López de Lacalle Marcaide, Luis Norberto | |
dc.date.accessioned | 2023-12-27T12:03:22Z | |
dc.date.available | 2023-12-27T12:03:22Z | |
dc.date.issued | 2023-12 | |
dc.identifier.citation | Mechanical Systems and Signal Processing 204 : (2023) // Article ID 110773 | es_ES |
dc.identifier.issn | 1096-1216 | |
dc.identifier.issn | 0888-3270 | |
dc.identifier.uri | http://hdl.handle.net/10810/63669 | |
dc.description.abstract | This paper aims to provide researchers and engineers with evidence that sensorless machine variable monitoring can achieve tool wear monitoring in broaching in real production environments, reducing production errors, enhancing product quality, and facilitating zero-defect manufacturing. Additionally, broaching plays a crucial role in improving the quality of manufacturing products and processes. These aspects are especially pertinent in aeronautical manufacturing, which serves as the experimental case in this study.
The research presents findings that establish a correlation between the variables of a broaching machine’s servomotors and the condition of the broaching tools. The authors propose an effective method for measuring broaching tool wear without external sensors and provide a detailed explanation of the methodology, enabling reproducibility of similar results. The results stem from three trials conducted on an electromechanical vertical broaching machine, utilizing cemented carbide grade broaching tools to broach a superalloy Inconel 718 test piece. The machine data collected facilitated the training of a set of machine learning models, accurately estimating tool wear on the broaches. Each model demonstrates high predictive accuracy, with a coefficient of determination surpassing 0.9. | es_ES |
dc.description.sponsorship | Thanks are addressed to MCIN/AEI/10.13039/501100011033/and European Union NextGenerationEU/ PRTR” - Proyectos de Transición Ecológica y Transición Digital
, Quolink: A new way to assess quality in manufacturing processes by merging process data in high connected production systems in aeroturbines, Ref TED2021-130044B-I00. Thanks are also addressed to Basque, Spain for the support of University research groups, grant IT1573-22. Thanks are also due to European commission by H2020 project n. 958357, and it is an initiative of the Factories-of-the-Future (FoF) Public Private Partnership, project InterQ Interlinked Process, Product and Data Quality Framework for Zero-Defects Manufacturing. Results were analyzed by models developed in Project KK-2022/0065 Lanverso and Hatasu.
This work was also partially supported by the Spanish Ministerio de Asuntos Económicos y Transformación Digital and the European Union NextGenerationEU through the project LocoForge: Mimbres instantiation for railways and Industry 5.0 vertical sectors (grant TSI-063000- 2021-47), funded by the Plan for Recovery, Transformation and Resilience . | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/TED2021-130044B-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/958357 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | broaching process | es_ES |
dc.subject | process monitoring | es_ES |
dc.subject | tool wear estimation | es_ES |
dc.subject | sensorless approach | es_ES |
dc.title | Early detection of tool wear in electromechanical broaching machines by monitoring main stroke servomotors | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/). | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0888327023006817 | es_ES |
dc.identifier.doi | 10.1016/j.ymssp.2023.110773 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ingeniería mecánica | es_ES |
dc.departamentoes | Lenguajes y sistemas informáticos | es_ES |
dc.departamentoeu | Hizkuntza eta sistema informatikoak | es_ES |
dc.departamentoeu | Ingeniaritza mekanikoa | es_ES |