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Acoustic emission analysis for the detection of appropriate cutting operations in honing processes
dc.contributor.author | Buj Corral, Irene |
dc.contributor.author | Álvarez Flórez, Jesús Andrés |
dc.contributor.author | Domínguez Fernandez, Alejandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics |
dc.date.accessioned | 2017-10-24T10:08:47Z |
dc.date.available | 2020-01-15T01:25:37Z |
dc.date.issued | 2018-01-15 |
dc.identifier.citation | Buj, I., Alvarez, J.A., Dominguez, A. Acoustic emission analysis for the detection of appropriate cutting operations in honing processes. "Mechanical systems and signal processing", 15 Gener 2018, vol. 99, p. 1-13. |
dc.identifier.issn | 0888-3270 |
dc.identifier.uri | http://hdl.handle.net/2117/109017 |
dc.description.abstract | In the present paper, acoustic emission was studied in honing experiments obtained with different abrasive densities, 15, 30, 45 and 60. In addition, 2D and 3D roughness, material removal rate and tool wear were determined. In order to treat the sound signal emitted during the machining process, two methods of analysis were compared: Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). When density 15 is used, the number of cutting grains is insufficient to provide correct cutting, while clogging appears with densities 45 and 60. The results were confirmed by means of treatment of the sound signal. In addition, a new parameter S was defined as the relationship between energy in low and high frequencies contained within the emitted sound. The selected density of 30 corresponds to S values between 0.1 and 1. Correct cutting operations in honing processes are dependent on the density of the abrasive employed. The density value to be used can be selected by means of measurement and analysis of acoustic emissions during the honing operation. Thus, honing processes can be monitored without needing to stop the process. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria mecànica::Processos de fabricació mecànica |
dc.subject | Àrees temàtiques de la UPC::Física::Acústica |
dc.subject.lcsh | Acoustical engineering |
dc.subject.lcsh | Cutting tools |
dc.subject.lcsh | Abrasives |
dc.subject.lcsh | Fourier transformations |
dc.subject.other | Acoustic emission |
dc.subject.other | Fourier transform |
dc.subject.other | Hilbert Huang transform |
dc.subject.other | Honing |
dc.subject.other | Material removal rate |
dc.subject.other | Roughness |
dc.title | Acoustic emission analysis for the detection of appropriate cutting operations in honing processes |
dc.type | Article |
dc.subject.lemac | Enginyeria acústica |
dc.subject.lemac | Eines de tall |
dc.subject.lemac | Abrasius |
dc.subject.lemac | Fourier, Transformacions de |
dc.contributor.group | Universitat Politècnica de Catalunya. TECNOFAB - Grup de Recerca en Tecnologies de Fabricació |
dc.contributor.group | Universitat Politècnica de Catalunya. CREMIT - Centre de Recerca de Motors i Instal·lacions Tèrmiques |
dc.identifier.doi | 10.1016/j.ymssp.2017.06.039 |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0888327017303515?via%3Dihub |
dc.rights.access | Open Access |
local.identifier.drac | 21547388 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Buj, I.; Alvarez, J.A.; Dominguez, A. |
local.citation.publicationName | Mechanical systems and signal processing |
local.citation.volume | 99 |
local.citation.startingPage | 1 |
local.citation.endingPage | 13 |
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