Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling
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 th...
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Universidad del Bío-Bío
2019
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oai:scielo:S0718-221X20190001000772019-06-04Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modellingFu,ZongyingAvramidis,StavrosZhao,JingyaoCai,YingchunZhou,Yongdong Artificial neural network Betula platyphylla mechano-sorptive creep restrained shrinkage strain white birch discs 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.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.21 n.1 20192019-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2019000100077en10.4067/S0718-221X2019005000107 |
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Artificial neural network Betula platyphylla mechano-sorptive creep restrained shrinkage strain white birch discs |
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Artificial neural network Betula platyphylla mechano-sorptive creep restrained shrinkage strain white birch discs Fu,Zongying Avramidis,Stavros Zhao,Jingyao Cai,Yingchun Zhou,Yongdong Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
description |
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. |
author |
Fu,Zongying Avramidis,Stavros Zhao,Jingyao Cai,Yingchun Zhou,Yongdong |
author_facet |
Fu,Zongying Avramidis,Stavros Zhao,Jingyao Cai,Yingchun Zhou,Yongdong |
author_sort |
Fu,Zongying |
title |
Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
title_short |
Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
title_full |
Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
title_fullStr |
Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
title_full_unstemmed |
Effects of saturated vapor pre-steaming on drying strain in Asian White Birch: Experimentation and modelling |
title_sort |
effects of saturated vapor pre-steaming on drying strain in asian white birch: experimentation and modelling |
publisher |
Universidad del Bío-Bío |
publishDate |
2019 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2019000100077 |
work_keys_str_mv |
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1714202672421142528 |