Dressing monitoring with a digital signal processor

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:30:37Z
dc.date.accessioned2022-10-05T17:00:10Z
dc.date.available2014-05-20T15:30:37Z
dc.date.available2022-10-05T17:00:10Z
dc.date.created2014-05-20T15:30:37Z
dc.date.issued2010-01-01
dc.identifierTribology and Design. Southampton: Wit Press, p. 155-167, 2010.
dc.identifierhttp://hdl.handle.net/11449/39953
dc.identifier10.2495/TD100141
dc.identifierWOS:000284855100014
dc.identifier1455400309660081
dc.identifier1099152007574921
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3910992
dc.description.abstractGrinding is a finishing process in machining operations, and the topology of the grinding tool is responsible for producing the desired result on the surface of the machined material The tool topology is modeled in the dressing process and precision is therefore extremely important This study presents a solution in the monitoring of the dressing process, using a digital signal processor (DSP) operating in real time to detect the optimal dressing moment To confirm the monitoring efficiency by DSP, the results were compared with those of a data acquisition system (DAQ) and offline processing The method employed here consisted of analyzing the acoustic emission and electrical power signal by applying the DPO and DPKS parameters The analysis of the results allowed us to conclude that the application of the DPO and DPKS parameters can be substituted by processing of the mean acoustic emission signal, thus reducing the computational effort
dc.languageeng
dc.publisherWit Press
dc.relationTribology and Design
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectdata acquisition
dc.subjectdigital signal processor
dc.subjectdressing operation
dc.subjectgrinding process
dc.titleDressing monitoring with a digital signal processor
dc.typeResumo


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