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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Aulestia Viera, Martin A. [1] ; Aguiar, Paulo R. [1] ; Oliveira Junior, Pedro [1] ; Alexandre, Felipe A. [1] ; Lopes, Wenderson N. [1] ; Bianchi, Eduardo C. [2] ; da Silva, Rosemar Batista [3] ; D'addona, Doriana [4] ; Andreoli, Andre [1]
Total Authors: 9
Affiliation:
[1] Sao Paulo State Univ UNESP, Dept Elect Engn, Av Engn Luiz Edmundo Carrijo Coube 14-01, BR-17033360 Bauru - Brazil
[2] Sao Paulo State Univ UNESP, Dept Mech Engn, Av Engn Luiz Edmundo Carrijo Coube 14-01, BR-17033360 Bauru - Brazil
[3] Univ Fed Uberlandia, Sch Mech Engn, Av Joao Naves de Avila 2121, BR-38408100 Uberlandia, MG - Brazil
[4] Univ Naples Federico II, Fraunhofer Joint Lab Excellence Adv Prod Technol, Dept Chem Mat & Ind Prod Engn, Piazzale Tecchio 80, I-80125 Naples - Italy
Total Affiliations: 4
Document type: Journal article
Source: SENSORS; v. 19, n. 18 SEP 2 2019.
Web of Science Citations: 0
Abstract

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. (AU)

FAPESP's process: 18/07292-0 - Piezoelectric diaphragm and digital signal processing in the estimation of surface roughness of ceramic components in the grinding process
Grantee:Martin Antonio Aulestia Viera
Support Opportunities: Scholarships in Brazil - Master