Using Wavelet Transform To Analyze Tool Vibration Signals In Turning Operations

dc.creatorFernandes Tavares Filho R.
dc.creatorDiniz A.E.
dc.date1997
dc.date2015-06-30T14:47:42Z
dc.date2015-11-26T15:15:39Z
dc.date2015-06-30T14:47:42Z
dc.date2015-11-26T15:15:39Z
dc.date.accessioned2018-03-28T22:25:28Z
dc.date.available2018-03-28T22:25:28Z
dc.identifier
dc.identifierRevista Brasileira De Ciencias Mecanicas/journal Of The Brazilian Society Of Mechanical Sciences. , v. 19, n. 3, p. 426 - 437, 1997.
dc.identifier1007386
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0031234002&partnerID=40&md5=0802f5797a03518524d7fa7835ef2066
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/100005
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/100005
dc.identifier2-s2.0-0031234002
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1259064
dc.descriptionThe main goal of this paper is to study the feasibility of using multiresolution analysis through the use of wavelet transform, to analyze the tool vibration signal, in order to indirectly establishing the end of turning tool life. To do so, several turning experiments were carried out with different cutting conditions and the tool vibration was measured using accelerometers. After the cuttings, the vibration signals were analyzed in time domain, frequency domain and time-frequency domain and their behaviors were compared with the workpiece surface roughnesses. As the tool wears, the workpiece roughness increases and the tool vibration signal change its features. So, it was necessary to extract from the signal the feature that follows the surface roughness behavior in order to establish the end of tool life based on the workpiece roughness criterion. The analysis was done on the acceleration (signal generated by the sensor), velocity (first integration of the signal) and displacement (second integration) of the tool. The main conclusion of this work is that, the best parameter of the tool vibration signal to follow the surface roughness behavior, is the second level inverse of the wavelet transform of the tool displacement signal.
dc.description19
dc.description3
dc.description426
dc.description437
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dc.languageen
dc.publisher
dc.relationRevista Brasileira de Ciencias Mecanicas/Journal of the Brazilian Society of Mechanical Sciences
dc.rightsaberto
dc.sourceScopus
dc.titleUsing Wavelet Transform To Analyze Tool Vibration Signals In Turning Operations
dc.typeArtículos de revistas


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