NDLI: Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process

Content Provider	IET Digital Library
Author	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.
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 (Al2O3) 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.
Starting Page	1
Ending Page	8
Page Count	8
ISSN	17518822
Volume Number	13
e-ISSN	17518830
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5178
Journal	IET Science, Measurement & Technology
Publisher Date	2018-08-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Accelerometer Advanced Ceramic Grinding Process Monitoring Al2O3 Alumina Alumina Test Specimens Ceramics Ceramics And Refractories (engineering Materials Science) Confocal Microscopy Diamond Diamond Grinding Wheel Digital Signal Processing Engineering Material Feature Extraction Frequency 800 Hz to 2 KHz Frequency Spectrum Analysis General Fabrication Technique Grinding Grinding Machine Industrial Application of IT Machining Mathematical Analysis Measurement Mechanical Engineering Mild Machining Condition Optical Microscopy Oscilloscope Oscilloscopes Post-grinding Ceramic Condition Process Monitoring Production Engineering Computing Rotation Measurement Severe Machining Condition Signal Processing And Detection Spatial Variables Measurement Statistical Analysis Statistics Surface Band Structure Surface Electron Density of State Surface Grinding Process Surface Resistance Measurement Surface Roughness Measurement Surface State Surface Tangential Grinding Machine Time Domain Analysis Time-frequency Analysis Velocity Vibration Signal Digital Processing Vibration Signal Monitoring Vibrational Signal Processing Vibrations And Shock Wave Workpiece Speed
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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