dc.contributor.author | Del Olmo Sanz, Ander ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | López de Lacalle Marcaide, Luis Norberto | |
dc.contributor.author | Martínez de Pissón Caruncho, Gonzalo | |
dc.contributor.author | Pérez Salinas, C. | |
dc.contributor.author | Ealo Muñoz, Jon Ander | |
dc.contributor.author | Sastoque Pinilla, Edwar Leonardo | |
dc.contributor.author | Fernandes Rodrigues, María Helena ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.date.accessioned | 2024-05-28T15:45:05Z | |
dc.date.available | 2024-05-28T15:45:05Z | |
dc.date.issued | 2022-06 | |
dc.identifier.citation | Mechanical Systems and Signal Processing 172 : (2022) // Article ID 109003 | es_ES |
dc.identifier.issn | 1096-1216 | |
dc.identifier.uri | http://hdl.handle.net/10810/68228 | |
dc.description.abstract | Real-time monitoring in CNC machine tools is focused on the early detection of tool wear, and in this way to assess part piece quality. The machining process known as broaching is critical for firtree slots (dovetails) production in turbomachinery components, such as turbine disks. Tight tolerances on one hand, even less than 5 µm in firtree-slots pressure faces, and high productivity on the other, are the two main requirements. Besides, broaching tools are very expensive and the cutting edges wear must be estimated during the process; in fact, tool wear in difficult-to-cut materials machining may cause a waste not only in terms of the tool but also of the very expensive workpieces. Broaching usually is one of the last operations in the process chain, so components start the operation with a very high-added value. Hence, only one bad slot implies an unrecoverable piece and therefore a huge waste of time and money.
In this paper, a monitoring method for efficient broaching is proposed by combining real-time monitoring and off-line tool wear inspection. Firstly, the cutting tool characteristics are defined, and those affected by tool degradation. Secondly, some broaching cycles were carried out while measuring a) process accelerations through two accelerometers, b) cutting force by load cells, and c) motor drive consumption. They were simultaneously recorded. Furthermore, the sensitivity between tool wear and broaching process natural frequencies is established.
Finally, a series of experimental tests were executed for verification, showing the useful approach for daily life production. The paper focuses on signals and their sensitivity to significant process variations. | es_ES |
dc.description.sponsorship | This research was funded by Basque government group IT IT1337-19 and the Ministry of Mineco Grant PID2019-109340RB-I00 funded by MCIN/AEI/ 10.13039/501100011033, and by the 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. Experiments were performed by help of project (QUOLINK TED2021-130044B-I00) Ministerio de Ciencia e Innovación 2021. Thanks are also given to the Basque Country government in Elkartek OPTICED, in all aspects related to integration of edge-computing devices. Thanks are also given to special Unit AIMS, funded by the University of the Basque Country, Ideko, IMH and BCAM. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-109340RB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/958357 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/TED2021-130044B-I00 | 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 | es_ES |
dc.subject | carbide tool | es_ES |
dc.subject | tool wear | es_ES |
dc.subject | monitoring | es_ES |
dc.subject | accelerometer | es_ES |
dc.subject | natural frequency | es_ES |
dc.title | Tool wear monitoring of high-speed broaching process with carbide tools to reduce production errors | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2022 The Author(s). 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/S0888327022001819 | es_ES |
dc.identifier.doi | 10.1016/j.ymssp.2022.109003 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ingeniería mecánica | es_ES |
dc.departamentoeu | Ingeniaritza mekanikoa | es_ES |