Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform

Detalhes bibliográficos
Autor(a) principal: Farias,Aline Cristina Mendes de
Data de Publicação: 2015
Outros Autores: Medeiros,Alexandre Augusto Souza, Oliveira Júnior,José Josemar de, Alves,Salete Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000800210
Resumo: During the contact between metallic surfaces in mechanical systems, some dynamic characteristics present significant changes as the vibration signal patterns. The acquisition and characterization of these signals, by the use of Fourier Transform (FT), are non-intrusive tools in the evaluation of lubricity. This study aimed to evaluate dynamically the fuels lubricity (diesel S50, biodiesel and its blends) by the reciprocating sliding of a ball against a flat disc (AISI 52100 steel). After that, the vibration signals were evaluated by statistical test and FFT (Fast Fourier Transform) and STFT (Short-Time Fourier Transform) analyses and verified their associations with parameters supplied by ASTM D6079. The results present a correlation between lubricity, frequency spectrum and the parameters of profiles from the worn disc surface. In addition, the evolution of wear scars presented an influence of the biodiesel content in these fuels.
id ABMABCABPOL-1_5821c35e50ed969b755bfc024e253989
oai_identifier_str oai:scielo:S1516-14392015000800210
network_acronym_str ABMABCABPOL-1
network_name_str Materials research (São Carlos. Online)
repository_id_str
spelling Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transformlubricitybiodieselvibration signalFourier TransformwearAISI 52100 steelDuring the contact between metallic surfaces in mechanical systems, some dynamic characteristics present significant changes as the vibration signal patterns. The acquisition and characterization of these signals, by the use of Fourier Transform (FT), are non-intrusive tools in the evaluation of lubricity. This study aimed to evaluate dynamically the fuels lubricity (diesel S50, biodiesel and its blends) by the reciprocating sliding of a ball against a flat disc (AISI 52100 steel). After that, the vibration signals were evaluated by statistical test and FFT (Fast Fourier Transform) and STFT (Short-Time Fourier Transform) analyses and verified their associations with parameters supplied by ASTM D6079. The results present a correlation between lubricity, frequency spectrum and the parameters of profiles from the worn disc surface. In addition, the evolution of wear scars presented an influence of the biodiesel content in these fuels.ABM, ABC, ABPol2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000800210Materials Research v.18 suppl.2 2015reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1516-1439.368414info:eu-repo/semantics/openAccessFarias,Aline Cristina Mendes deMedeiros,Alexandre Augusto SouzaOliveira Júnior,José Josemar deAlves,Salete Martinseng2016-01-04T00:00:00Zoai:scielo:S1516-14392015000800210Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2016-01-04T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
title Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
spellingShingle Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
Farias,Aline Cristina Mendes de
lubricity
biodiesel
vibration signal
Fourier Transform
wear
AISI 52100 steel
title_short Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
title_full Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
title_fullStr Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
title_full_unstemmed Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
title_sort Correlation Between Fuel Lubricity and Vibration Signals Obtained in Ball-disc Analysis Using Fourier Transform
author Farias,Aline Cristina Mendes de
author_facet Farias,Aline Cristina Mendes de
Medeiros,Alexandre Augusto Souza
Oliveira Júnior,José Josemar de
Alves,Salete Martins
author_role author
author2 Medeiros,Alexandre Augusto Souza
Oliveira Júnior,José Josemar de
Alves,Salete Martins
author2_role author
author
author
dc.contributor.author.fl_str_mv Farias,Aline Cristina Mendes de
Medeiros,Alexandre Augusto Souza
Oliveira Júnior,José Josemar de
Alves,Salete Martins
dc.subject.por.fl_str_mv lubricity
biodiesel
vibration signal
Fourier Transform
wear
AISI 52100 steel
topic lubricity
biodiesel
vibration signal
Fourier Transform
wear
AISI 52100 steel
description During the contact between metallic surfaces in mechanical systems, some dynamic characteristics present significant changes as the vibration signal patterns. The acquisition and characterization of these signals, by the use of Fourier Transform (FT), are non-intrusive tools in the evaluation of lubricity. This study aimed to evaluate dynamically the fuels lubricity (diesel S50, biodiesel and its blends) by the reciprocating sliding of a ball against a flat disc (AISI 52100 steel). After that, the vibration signals were evaluated by statistical test and FFT (Fast Fourier Transform) and STFT (Short-Time Fourier Transform) analyses and verified their associations with parameters supplied by ASTM D6079. The results present a correlation between lubricity, frequency spectrum and the parameters of profiles from the worn disc surface. In addition, the evolution of wear scars presented an influence of the biodiesel content in these fuels.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000800210
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000800210
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1516-1439.368414
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.18 suppl.2 2015
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
_version_ 1754212666325336064