| Journal: | Maderas : ciencia y tecnología |
| Database: | |
| System number: | 000534536 |
| ISSN: | 0718-221X |
| Authors: | Fu, Zongying1 Avramidis, Stavros2 Zhao, Jingyao3 Cai, Yingchun3 Zhou, Yongdong1 |
| Institutions: | 1Chinese Academy of Forestry Research Institute of Wood Industry, Beijing. China 2University of British Columbia Department of Wood Science, Vancouver. Canada 3Northeast Forestry University College of Material Science and Engineering, Harbin. China |
| Year: | 2019 |
| Volumen: | 21 |
| Number: | 1 |
| Pages: | 77-88 |
| Country: | Chile |
| Language: | Inglés |
| English abstract | The effect of low pressure saturated vapor pre-steaming on restrained shrinkage strain, mechano-sorptive creep and the distribution of moisture content was investigated during conventional drying of wood discs. Mechano-sorptive creep was furthermore modelled by artificial neural network theory with five inputs, i.e., pre-steaming and drying temperatures, wood moisture content, relative humidity and distance from the pith. Results revealed that, pre-steaming partly reduced the variation of moisture content distribution along radial direction, increased restrained shrinkage strain in heartwood and decreased in sapwood and slightly decreased the mechano-sorptive creep. The neural network model provided reasonable prediction results, namely, the coefficient of determination for training, validation and test sets greater than 0,95. |
| Keyword: | Artificial neural network, Betula platyphylla, Mechano-sorptive creep, Restrained shrinkage strain, White birch discs |
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