Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process. Issue 1 (1st January 2019)

• Record Type: Journal Article
• Authors: Junior, Pedro O.C.; Aguiar, Paulo R.; Foschini, Cesar R.; França, Thiago V.; Ribeiro, Danilo M.S.; Ferreira, Fabio I.; Lopes, Wenderson N.; Bianchi, Eduardo C.
• Is Part Of: IET science, measurement & technology. Volume 13:Issue 1(2019)
• Page Start: 1
• Page End: 8
• Publication Date: 2019-01-01
• Subjects: feature extraction -- time‐frequency analysis -- ceramics -- grinding -- grinding machines -- process monitoring -- vibrational signal processing -- diamond -- alumina -- accelerometers -- oscilloscopes -- machining -- optical microscopy -- surface roughness -- surface topography measurement -- statistical analysis -- production engineering computing; feature extraction -- frequency spectrum analysis -- time domain analysis -- advanced ceramic grinding process monitoring -- vibration signals monitoring -- surface grinding process -- vibration signals digital processing -- surface tangential grinding machine -- diamond grinding wheel -- alumina test specimens -- accelerometer -- oscilloscope -- workpiece speeds -- mild machining conditions -- severe machining conditions -- confocal microscopy -- surface roughness measurements -- post‐grinding ceramic condition -- statistical analysis -- frequency 800 Hz to 2 kHz -- Al2O3 -- C; Measurement -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Periodicals; Nanotechnology -- Periodicals; Electromagnetism -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3
• DOI: 10.1049/iet-smt.2018.5178
• Languages: English
• ISSNs: 1751-8822

Abstract

Abstract : New alternatives for monitoring the ceramic grinding process have been studied. Monitoring vibration signals is one of the most successful methods because some characteristics that describe the behaviour and influence of the process on ground parts are only noticeable by studying such signals. This study aims to monitor the finishing of advanced ceramics during the surface grinding process via digital processing of the vibration signals. Experimental tests were performed using a surface tangential grinding machine with a diamond grinding wheel and alumina (Al2 O3 ) test specimens. The vibration signal was measured by an accelerometer and recorded by an oscilloscope at a 2 MHz sampling rate. The tests were conducted at different depths of cut for two workpiece speeds ( v w ) under mild and severe machining conditions. Confocal microscopy and surface roughness Ra measurements were performed after grinding each workpiece to classify the samples. Digital signal processing was performed to achieve feature extraction. A frequency range of 800 Hz–2 kHz was most strongly related to the post‐grinding ceramic condition. A correlation was found between vibration and integrity of the ceramic workpiece because the vibration signal was proportional to the surface roughness for each cutting depth used. To support the conclusion presented, a statistical analysis through variance by analysis of variance was performed.