Drying Stress and Strain of Wood: A Review
Wood drying stress causes various drying defects, which result from the wood microstructure and the transfer of heat and mass during the drying. It is the fundamental way to solve the problem of defects to clarify the law and mechanism of wood stress and strain development during drying. In this pap...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/11/5023 |
| _version_ | 1797532123439038464 |
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| author | Qin Yin Hong-Hai Liu |
| author_facet | Qin Yin Hong-Hai Liu |
| author_sort | Qin Yin |
| collection | DOAJ |
| description | Wood drying stress causes various drying defects, which result from the wood microstructure and the transfer of heat and mass during the drying. It is the fundamental way to solve the problem of defects to clarify the law and mechanism of wood stress and strain development during drying. In this paper, based on the defects of wood drying, the theory and experimental testing methods of drying stress and strain were summarized. Meanwhile, artificial neural networks (ANN) and their application in the wood drying field were also investigated. The traditional prong and slicing methods were used practically in the research and industry of wood drying, but the stress changes in-process cannot be trapped. The technologies of image analysis and near-infrared spectroscopy provide a new opportunity for the detection of drying stress and strain. Hence, future interest should be attached to the combination of the theory of heat and mass transfer and their coupling during drying with the theory of microscopic cell wall mechanics and macroscopic drying. A more complete image acquisition and analysis system should be developed to realize the real-time monitoring of drying strain and cracking, practically. A more feasible and reasonable prediction model of wood drying stress and strain should be established to achieve the accuracy of the prediction. |
| first_indexed | 2024-03-10T10:54:38Z |
| format | Article |
| id | doaj.art-710d8196c1324d84b002d5d56c7a9c93 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:54:38Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-710d8196c1324d84b002d5d56c7a9c932023-11-21T21:56:59ZengMDPI AGApplied Sciences2076-34172021-05-011111502310.3390/app11115023Drying Stress and Strain of Wood: A ReviewQin Yin0Hong-Hai Liu1College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaWood drying stress causes various drying defects, which result from the wood microstructure and the transfer of heat and mass during the drying. It is the fundamental way to solve the problem of defects to clarify the law and mechanism of wood stress and strain development during drying. In this paper, based on the defects of wood drying, the theory and experimental testing methods of drying stress and strain were summarized. Meanwhile, artificial neural networks (ANN) and their application in the wood drying field were also investigated. The traditional prong and slicing methods were used practically in the research and industry of wood drying, but the stress changes in-process cannot be trapped. The technologies of image analysis and near-infrared spectroscopy provide a new opportunity for the detection of drying stress and strain. Hence, future interest should be attached to the combination of the theory of heat and mass transfer and their coupling during drying with the theory of microscopic cell wall mechanics and macroscopic drying. A more complete image acquisition and analysis system should be developed to realize the real-time monitoring of drying strain and cracking, practically. A more feasible and reasonable prediction model of wood drying stress and strain should be established to achieve the accuracy of the prediction.https://www.mdpi.com/2076-3417/11/11/5023drying stressdrying straindetection methodsartificial neural networkback propagation network |
| spellingShingle | Qin Yin Hong-Hai Liu Drying Stress and Strain of Wood: A Review Applied Sciences drying stress drying strain detection methods artificial neural network back propagation network |
| title | Drying Stress and Strain of Wood: A Review |
| title_full | Drying Stress and Strain of Wood: A Review |
| title_fullStr | Drying Stress and Strain of Wood: A Review |
| title_full_unstemmed | Drying Stress and Strain of Wood: A Review |
| title_short | Drying Stress and Strain of Wood: A Review |
| title_sort | drying stress and strain of wood a review |
| topic | drying stress drying strain detection methods artificial neural network back propagation network |
| url | https://www.mdpi.com/2076-3417/11/11/5023 |
| work_keys_str_mv | AT qinyin dryingstressandstrainofwoodareview AT honghailiu dryingstressandstrainofwoodareview |