Drying of green veneer hollow tubes monitored using stereo digital images correlation
The present study is based on the patent FR3052379A1, which consists of rolling and gluing green veneers to form structural size hollow tubes. The objective was to study the drying behavior of circular hollow tubes and investigate the method of crack detection using image correlation from green cond...
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| Veröffentlicht in: | European journal of wood and wood products 2022-08, Vol.80 (4), p.889-898 |
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| container_title | European journal of wood and wood products |
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| creator | Purba, Citra Yanto Ciki Viguier, Joffrey Denaud, Louis Marcon, Bertrand Pommier, Régis |
| description | The present study is based on the patent FR3052379A1, which consists of rolling and gluing green veneers to form structural size hollow tubes. The objective was to study the drying behavior of circular hollow tubes and investigate the method of crack detection using image correlation from green conditions to equilibrium moisture content. The manufactured tubes are composed of six plies. Three different configurations of global grain angle orientations with respect to the tube longitudinal axis are used: {0, 0, 0}°, {10, 0, 10}°, and {− 10, 0, 10}°. Each grain angle was made up of two plies. The tubes deformation and crack formation due to drying shrinkage were measured using a stereo digital image correlation system. The stereo correlation is suitable for measuring tangential shrinkage and studying the opening and/or closing of cracks on the surface of the tubes subjected to internal moisture variations and blocked deformations. The influence of grain angle was discussed in this paper; however, due to the very few numbers of samples, no conclusive findings can be made. |
| doi_str_mv | 10.1007/s00107-022-01791-w |
| format | Article |
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The objective was to study the drying behavior of circular hollow tubes and investigate the method of crack detection using image correlation from green conditions to equilibrium moisture content. The manufactured tubes are composed of six plies. Three different configurations of global grain angle orientations with respect to the tube longitudinal axis are used: {0, 0, 0}°, {10, 0, 10}°, and {− 10, 0, 10}°. Each grain angle was made up of two plies. The tubes deformation and crack formation due to drying shrinkage were measured using a stereo digital image correlation system. The stereo correlation is suitable for measuring tangential shrinkage and studying the opening and/or closing of cracks on the surface of the tubes subjected to internal moisture variations and blocked deformations. 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J. Wood Prod</addtitle><description>The present study is based on the patent FR3052379A1, which consists of rolling and gluing green veneers to form structural size hollow tubes. The objective was to study the drying behavior of circular hollow tubes and investigate the method of crack detection using image correlation from green conditions to equilibrium moisture content. The manufactured tubes are composed of six plies. Three different configurations of global grain angle orientations with respect to the tube longitudinal axis are used: {0, 0, 0}°, {10, 0, 10}°, and {− 10, 0, 10}°. Each grain angle was made up of two plies. The tubes deformation and crack formation due to drying shrinkage were measured using a stereo digital image correlation system. The stereo correlation is suitable for measuring tangential shrinkage and studying the opening and/or closing of cracks on the surface of the tubes subjected to internal moisture variations and blocked deformations. 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| subjects | Biomedical and Life Sciences Ceramics Composites Cracks Deformation Digital imaging Drying Engineering Sciences Glass Gluing Layers Life Sciences Machines Manufacturing Materials Mechanical properties Mechanics Moisture content Moisture effects Natural Materials Original Article Plywood Processes Shrinkage Structural mechanics Timber Tubes Veneers Water content Wood products Wood Science & Technology |
| title | Drying of green veneer hollow tubes monitored using stereo digital images correlation |
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