Thiago França

Dr. Thiago França

Assistant Professor
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2007 in International Journal of Machine Tools and Manufacture
Verified
Journal Article
Closed access
LSLeonardo Roberto da Silva
Leonardo Roberto da Silva
EBEduardo Carlos Bianchi
Eduardo Carlos Bianchi
RFRonaldo Yoshinobu Fusse
Ronaldo Yoshinobu Fusse
RCRodrigo Eduardo Catai
Rodrigo Eduardo Catai
TFThiago França
Thiago França
PAPaulo Roberto Aguiar
Paulo Roberto Aguiar

1 June 2005 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
Open access
PDF file
LSL. R. Silva
L. R. Silva
EBEduardo Carlos Bianchi
Eduardo Carlos Bianchi
RCR. E. Catai
R. E. Catai
RFR. Y. Fusse
R. Y. Fusse
TFThiago França
Thiago França
PAPaulo Roberto Aguiar
Paulo Roberto Aguiar
The behavior of the minimum quantity lubricant (MQL) technique was analyzed under different lubricating and cooling conditions when grinding ABNT 4340 steel. The comparative analysis of the residual stress values showed that residual compressive stresses were obtained under all the lubrication/cooling conditions and types of abrasive tools employed. The highest residual compressive stress obtained with the aluminum oxide grinding wheel with MQL under the condition of V= 30m/s for air and V= 40ml/h for lubricant was -376MPa against the -160MPa attained with conventional cooling, representing a 135% increase in residual compressive stress. The results show that method and quantity of lubricant and cooling are factors that influence the grinding process

1 January 2010 in CIRP Annals
Verified
Journal Article
Closed access
JOJ.F.G. Oliveira
J.F.G. Oliveira
ABA.C. Bottene
A.C. Bottene
TFThiago França
Thiago França

1 January 2008 in CIRP Annals
Verified
Journal Article
Closed access
JOJ.F.G. Oliveira
J.F.G. Oliveira
TFThiago França
Thiago França
JWJ.P. Wang
J.P. Wang

4 May 2017 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
RDRicardo Fernando Damasceno
Ricardo Fernando Damasceno
RRRodrigo Ruzzi
Rodrigo Ruzzi
TFThiago França
Thiago França
HMHamilton José de Mello
Hamilton José de Mello
Rosemar Batista da SilvaRosemar Batista da Silva
Rosemar Batista da Silva
EBEduardo Carlos Bianchi
Eduardo Carlos Bianchi

1 January 2019 in IET Science, Measurement & Technology
Verified
Journal Article
Open access
PDF file
Pedro Oliveira Conceição JuniorPedro Oliveira Conceição Junior
Pedro Oliveira Conceição Junior
PAPaulo R. Aguiar
Paulo R. Aguiar
CFCesar R. Foschini
Cesar R. Foschini
TFThiago França
Thiago França
DRDanilo M.S. Ribeiro
Danilo M.S. Ribeiro
EBEduardo C. Bianchi
Eduardo C. Bianchi
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 (Al 2 O 3 ) 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 R a 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.