Control of thermal damage in grinding by digital signal processing of raw acoustic emission

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDe Aguiar, Paulo R.
dc.creatorBianchi, Eduardo Carlos
dc.creatorSerni, Paulo J.A.
dc.creatorLançoni, Patrik N.
dc.date2014-05-27T11:20:32Z
dc.date2016-10-25T18:18:08Z
dc.date2014-05-27T11:20:32Z
dc.date2016-10-25T18:18:08Z
dc.date2002-12-01
dc.date.accessioned2017-04-06T01:03:47Z
dc.date.available2017-04-06T01:03:47Z
dc.identifierProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, p. 1392-1397.
dc.identifierhttp://hdl.handle.net/11449/67051
dc.identifierhttp://acervodigital.unesp.br/handle/11449/67051
dc.identifier10.1109/ICARCV.2002.1234976
dc.identifier2-s2.0-2342434608
dc.identifierhttp://dx.doi.org/10.1109/ICARCV.2002.1234976
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/888543
dc.descriptionGrinding process is usually the last finishing process of a precision component in the manufacturing industries. This process is utilized for manufacturing parts of different materials, so it demands results such as low roughness, dimensional and shape error control, optimum tool-life, with minimum cost and time. Damages on the parts are very expensive since the previous processes and the grinding itself are useless when the part is damaged in this stage. This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045 e VC131 steels. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. In each test AE data was analyzed off-line, with results compared to inspection of each workpiece for burn and other metallurgical anomaly. A number of statistical signal processing tools have been evaluated.
dc.languageeng
dc.relationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAutomation
dc.subjectData Acquisition
dc.subjectData Processing
dc.subjectManufacturing Process
dc.subjectMonitored Control System
dc.subjectSignal Processing
dc.subjectCutting tools
dc.subjectData acquisition
dc.subjectData processing
dc.subjectDigital signal processing
dc.subjectGrinding (comminution)
dc.subjectMonitoring
dc.subjectOptimization
dc.subjectProcess control
dc.subjectProduction
dc.subjectResidual stresses
dc.subjectStatistical methods
dc.subjectAcoustic emissions
dc.subjectError analysis
dc.subjectGrinding (machining)
dc.subjectParameter estimation
dc.subjectSampling
dc.subjectSensors
dc.subjectCutting speeds
dc.subjectMachining operation
dc.subjectRoot mean square (RMS)
dc.subjectThermal damage
dc.subjectManufacturing process
dc.subjectMonitored control systems
dc.subjectSignal processing
dc.titleControl of thermal damage in grinding by digital signal processing of raw acoustic emission
dc.typeOtro


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