DISTINCTION OF MECHANICALLY PROCESSED WOOD SURFACES WITH SIMILAR QUALITIES USING SUNSET LASER TECHNIQUE
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
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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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 |
_version_ |
1799874942914789376 |