Evidence map›Paper›PMID 31514319›Full record

ArticleSensors (Basel, Switzerland)2019

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

Martin A Aulestia Viera, Paulo R Aguiar, Pedro Oliveira Junior, Felipe A Alexandre, Wenderson N Lopes, Eduardo C Bianchi, Rosemar Batista da Silva, Doriana D'addona, Andre Andreoli

Erratum issuedAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Martin A Aulestia VieraDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil. martin.aulestia@unesp.br.ORCID 0000-0002-4924-4896
Paulo R AguiarDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.
Pedro Oliveira JuniorDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.
Felipe A AlexandreDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.ORCID 0000-0002-6768-1109
Wenderson N LopesDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.
Eduardo C BianchiDepartment of Mechanical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.
Rosemar Batista da SilvaSchool of Mechanical Engineering, Federal University of Uberlandia, Av. João Naves de Avila 2121, Uberlandia 38408-100, Brazil.
Doriana D'addonaFraunhofer 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.ORCID 0000-0003-4358-9102
Andre AndreoliDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil.ORCID 0000-0002-7271-397X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 306435/2017-9Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/07292-0
6 · The paper itself

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.

Indexed as

AcousticsTransducersCeramicsSignal Processing, Computer-AssistedSurface PropertiesTime Factorsacoustic emissionceramic grindingdigital signal processingpiezoelectric transducersensor monitoringshort-time Fourier transform

Identifiers

PMID31514319
PMCPMC6767319

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.