DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE

Detalhes bibliográficos
Autor(a) principal: Andrade, Anna Carolina de Almeida
Data de Publicação: 2016
Outros Autores: Silva, José Reinaldo Moreira da Silva, Braga Junior, Roberto Alves, Moulin, Jordão Cabral
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1200
Resumo: The ASTM D 1666-11 (2011) norm classifies the quality of wood surface pieces after its mechanical processing. Although this classification is difficult to achieve visually, the use of some tools, such as solid state laser, can facilitate this classification. The aim of this work was to evaluate the use of sunset laser to qualify mechanically processed surfaces with similar visual qualities. We used a log from the base of a Khaya ivorensis tree and one from a K. senegalensis tree, both 11 years old. 22 specimens of dimensions 600x140x30 mm (CxLxE) were made of each species. The specimens were flattened with speeds of 2400, 3600 and 4000 min-1 and advanced speeds were predetermined in 6 and 15 m.min-1. Then the samples were illuminated with sunset laser and photographed at high resolution, the images were transferred to the software Image J. To evaluate the sunset laser, areas of defects in wood that are classified as regular and bad by ASTM D 1666-11 (2011) were used. There was a difference in classification of wood defects between the two methods used, from the 31 specimens classified as regularly by visual analysis, 8 of them were classified as bad by the laser method. The use of solid-state laser in the sunset laser technique was more efficient in evaluating small differences in mechanically processed wood defects compared to visual evaluation.
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spelling DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUESolid-state laserWood MachiningSurface QualityThe ASTM D 1666-11 (2011) norm classifies the quality of wood surface pieces after its mechanical processing. Although this classification is difficult to achieve visually, the use of some tools, such as solid state laser, can facilitate this classification. The aim of this work was to evaluate the use of sunset laser to qualify mechanically processed surfaces with similar visual qualities. We used a log from the base of a Khaya ivorensis tree and one from a K. senegalensis tree, both 11 years old. 22 specimens of dimensions 600x140x30 mm (CxLxE) were made of each species. The specimens were flattened with speeds of 2400, 3600 and 4000 min-1 and advanced speeds were predetermined in 6 and 15 m.min-1. Then the samples were illuminated with sunset laser and photographed at high resolution, the images were transferred to the software Image J. To evaluate the sunset laser, areas of defects in wood that are classified as regular and bad by ASTM D 1666-11 (2011) were used. There was a difference in classification of wood defects between the two methods used, from the 31 specimens classified as regularly by visual analysis, 8 of them were classified as bad by the laser method. The use of solid-state laser in the sunset laser technique was more efficient in evaluating small differences in mechanically processed wood defects compared to visual evaluation.CERNECERNE2016-06-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1200CERNE; Vol. 22 No. 2 (2016); 159-162CERNE; v. 22 n. 2 (2016); 159-1622317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1200/917Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessAndrade, Anna Carolina de AlmeidaSilva, José Reinaldo Moreira da SilvaBraga Junior, Roberto AlvesMoulin, Jordão Cabral2016-07-08T11:19:28Zoai:cerne.ufla.br:article/1200Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:27.866282Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
title DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
spellingShingle DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
Andrade, Anna Carolina de Almeida
Solid-state laser
Wood Machining
Surface Quality
title_short DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
title_full DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
title_fullStr DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
title_full_unstemmed DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
title_sort DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
author Andrade, Anna Carolina de Almeida
author_facet Andrade, Anna Carolina de Almeida
Silva, José Reinaldo Moreira da Silva
Braga Junior, Roberto Alves
Moulin, Jordão Cabral
author_role author
author2 Silva, José Reinaldo Moreira da Silva
Braga Junior, Roberto Alves
Moulin, Jordão Cabral
author2_role author
author
author
dc.contributor.author.fl_str_mv Andrade, Anna Carolina de Almeida
Silva, José Reinaldo Moreira da Silva
Braga Junior, Roberto Alves
Moulin, Jordão Cabral
dc.subject.por.fl_str_mv Solid-state laser
Wood Machining
Surface Quality
topic Solid-state laser
Wood Machining
Surface Quality
description The ASTM D 1666-11 (2011) norm classifies the quality of wood surface pieces after its mechanical processing. Although this classification is difficult to achieve visually, the use of some tools, such as solid state laser, can facilitate this classification. The aim of this work was to evaluate the use of sunset laser to qualify mechanically processed surfaces with similar visual qualities. We used a log from the base of a Khaya ivorensis tree and one from a K. senegalensis tree, both 11 years old. 22 specimens of dimensions 600x140x30 mm (CxLxE) were made of each species. The specimens were flattened with speeds of 2400, 3600 and 4000 min-1 and advanced speeds were predetermined in 6 and 15 m.min-1. Then the samples were illuminated with sunset laser and photographed at high resolution, the images were transferred to the software Image J. To evaluate the sunset laser, areas of defects in wood that are classified as regular and bad by ASTM D 1666-11 (2011) were used. There was a difference in classification of wood defects between the two methods used, from the 31 specimens classified as regularly by visual analysis, 8 of them were classified as bad by the laser method. The use of solid-state laser in the sunset laser technique was more efficient in evaluating small differences in mechanically processed wood defects compared to visual evaluation.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1200
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1200
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1200/917
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 22 No. 2 (2016); 159-162
CERNE; v. 22 n. 2 (2016); 159-162
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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