Next Article in Journal
Intelligent Identification for Rock-Mineral Microscopic Images Using Ensemble Machine Learning Algorithms
Next Article in Special Issue
A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process
Previous Article in Journal
Development of Flexible Dispense-Printed Electrochemical Immunosensor for Aflatoxin M1 Detection in Milk
Previous Article in Special Issue
Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios
Open AccessArticle

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

1
Department of Electrical Engineering, São Paulo State University—UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil
2
Department of Mechanical Engineering, São Paulo State University—UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil
3
School of Mechanical Engineering, Federal University of Uberlandia, Av. João Naves de Avila 2121, Uberlandia 38408-100, Brazil
4
Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology (Fh-J_LEAPT Naples) Department of Chemical, Material and Industrial Production Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(18), 3913; https://doi.org/10.3390/s19183913
Received: 30 July 2019 / Revised: 26 August 2019 / Accepted: 5 September 2019 / Published: 11 September 2019
Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time–frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time–frequency analysis allowed to identify irregularities throughout the monitored process. View Full-Text
Keywords: piezoelectric transducer; sensor monitoring; ceramic grinding; digital signal processing; acoustic emission; short-time Fourier transform piezoelectric transducer; sensor monitoring; ceramic grinding; digital signal processing; acoustic emission; short-time Fourier transform
Show Figures

Figure 1

MDPI and ACS Style

Aulestia Viera, M.A.; Aguiar, P.R.; Oliveira Junior, P.; Alexandre, F.A.; Lopes, W.N.; Bianchi, E.C.; da Silva, R.B.; D’addona, D.; Andreoli, A. A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 2019, 19, 3913.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop