Abstract

Inspired by biological materials, the self-shaping wood composites induced by relative humidity (RH) have been investigated over the last decade. In this study, a wood bilayer was fabricated by assembling two layers with perpendicular fiber orientation in a series of thickness ratios and initial moisture contents (iMC). The self-shaping response of the wood bilayer was explored as a function of its configuration, and the discrepancies between moisture adsorption and desorption processes were clarified. Higher iMC limited the evolution of curvature. During both the adsorption and desorption processes, a reversed bending response was observed, and there was a hysteretic bending behavior between them. Repeatable bending was achieved during the cyclic ad/desorption process, and a larger hysteresis loop was observed at a lower thickness ratio. Finite-element analysis showed that the maximum stress occurred at the interface between the active and passive layers, and larger thickness ratios had lower maximum stress. In addition, the bilayer composed of a 200 μm passive layer and a 400 μm active layer with 0.6% iMC was found to be the most sensitive to RH change. The results of this study elucidate the moisture-dependent bending response of wood bilayers and provide the possibility of precisely controlling the curvature of self-shaping wood composites in industrial applications.

Details

Title
Bending responses of self-shaping wood bilayers: comparison between adsorption and desorption processes
Author
Peng, Hui 1 ; Liu, Zhiting 1 ; Zhu, Jianyi 1 ; Jiang, Jiali 2 ; Lyu, Jianxiong 3 ; Zhan, Tianyi 1 

 Nanjing Forestry University, Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing, People’s Republic of China (GRID:grid.410625.4) (ISNI:0000 0001 2293 4910) 
 Research Institute of Wood Industry of Chinese Academy of Forestry, Beijing, People’s Republic of China (GRID:grid.509662.e) 
 Nanjing Forestry University, Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing, People’s Republic of China (GRID:grid.410625.4) (ISNI:0000 0001 2293 4910); Research Institute of Wood Industry of Chinese Academy of Forestry, Beijing, People’s Republic of China (GRID:grid.509662.e) 
Pages
29
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
ISSN
14350211
e-ISSN
16114663
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2890331736
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.