Abstract
Anisotropic shrinkage is a typically feature in wood, which is of critical importance in wood drying. In this study, the shrinkage strains over each growth ring were determined by a full-field strain measurement system during moisture content (MC) loss. Color maps were used to visualize the full-field distribution of displacement and shrinkage strain under different MC conditions. The variation of tangential and radial shrinkage strain from pith to bark, as well as the anisotropic shrinkage in heartwood and sapwood were studied. Both of the displacement and strain values increased as the MC decreased. From pith to bark, the tangential strains were higher at two poles as compared to the center, showing a parabolic distribution below fiber saturation point. While for radial shrinkage strain, a minor difference was observed except for the MC of 10%. An intersection between tangential and radial shrinkage ratio curve was observed at the MC of 28%. Both expansion and shrinkage in tangential direction were larger than radial counterparts, and the transformation from expansion to shrinkage occurred at the MC region of 32–28%. In addition, the shrinkage in heartwood was larger than sapwood, whereas anisotropic shrinkage in sapwood was more pronounced as compared to heartwood.
Funding source: Youth Program of National Natural Science Foundation of China
Award Identifier / Grant number: 31800478
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: This work was financed by a grant-in-aid for scientific research from the Youth Program of National Natural Science Foundation of China (No. 31800478).
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
Almeida, G. and Hernández, R. E. (2006). Changes in physical properties of tropical and temperate hardwoods below and above the fiber saturation point. Wood Sci. Technol. 40: 599–613. https://doi.org/10.1007/s00226-006-0083-8.Search in Google Scholar
Almeida, G., Huber, F., and Perré, P. (2014). Free shrinkage of wood determined at the cellular level using an environmental scanning electron microscope. Maderas Cienc. Tecnol. 16: 187–198. https://doi.org/10.4067/s0718-221x2014005000015.Search in Google Scholar
Derome, D., Griffa, M., Koebel, M., and Carmeliet, J. (2011). Hysteretic swelling of wood at cellular scale probed by phase-contrast X-ray tomography. J. struct. Boil. 173: 180–190. https://doi.org/10.1016/j.jsb.2010.08.011.Search in Google Scholar
Fu, Z., Zhao, J., Huan, S., Sun, X., and Cai, Y. (2015). The variation of tangential rheological properties caused by shrinkage anisotropy and moisture content gradient in white birch disks. Holzforschung 69: 573–579. https://doi.org/10.1515/hf-2014-0089.Search in Google Scholar
Fu, Z., Zhao, J., Lv, Y., Huan, S., and Cai, Y. (2016a). Stress characteristics and stress reversal mechanism of white birch (Betula platyphylla) disks under different drying conditions. Maderas Cienc. Tecnol. 18: 361–372. https://doi.org/10.4067/s0718-221x2016005000033.Search in Google Scholar
Fu, Z., Zhao, J., Yang, Y., and Cai, Y. (2016b). Variation of drying strains between tangential and radial directions in Asian White Birch. Forests 7: 59. https://doi.org/10.3390/f7030059.Search in Google Scholar
Gauvin, C., Jullien, D., Doumalin, P., Dupré, J. C., and Gril, J. (2014). Image correlation to evaluate the influence of hygrothermal loading on wood. Strain 50: 428–435. https://doi.org/10.1111/str.12090.Search in Google Scholar
Glass, S. V. and Zelinka, S. L. (2010). Moisture relations and physical properties of wood; wood handbook: wood as an engineering material. United States Department of Agriculture Forest Service, Forest Service, Forest Products Laboratory, Madison, WI, USA.Search in Google Scholar
Han, Y., Park, Y., Park, J. H., Yang, S. Y., Eom, C. D., and Yeo, H. (2016). The shrinkage properties of red pine wood assessed by image analysis and near-infrared spectroscopy. Dry. Technol. 34: 1613–1620. https://doi.org/10.1080/07373937.2016.1138964.Search in Google Scholar
Kang, H. Y., Muszyński, L., and Milota, M. R. (2011a). Optical measurement of deformations in drying lumber. Dry. Technol. 29: 127–134. https://doi.org/10.1080/07373937.2010.482725.Search in Google Scholar
Kang, H. Y., Muszyński, L., Milota, M., Kang, C., and Matsumura, J. (2011b). Preliminary tests for optically measuring drying strains and check formation in wood. J. Fac. Agric. Kyushu Univ. 56: 313–316.10.5109/20326Search in Google Scholar
Khoo, S. W., Karuppanan, S., and Tan, C. S. (2016). A review of surface deformation and strain measurement using two-dimensional digital image correlation. Metrol. Meas. Syst. 23: 461–480. https://doi.org/10.1515/mms-2016-0028.Search in Google Scholar
Kifetew, G. (1996). Application of the deformation field measurement method to wood during drying. Wood Sci. Technol. 30: 455–462. https://doi.org/10.1007/bf00244440.Search in Google Scholar
Kifetew, G., Lindberg, H., and Wiklund, M. (1997). Tangential and radial deformation field measurements on wood during drying. Wood Sci. Technol. 31: 35–44. https://doi.org/10.1007/s002260050012.Search in Google Scholar
Kuo, T. Y. and Wang, W. C. (2019). Determination of elastic properties of latewood and earlywood by digital image analysis technique. Wood Sci. Technol. 53: 559–577. https://doi.org/10.1007/s00226-019-01096-x.Search in Google Scholar
Kwon, O. and Hanna, R. (2010). The enhanced digital image correlation technique for feature tracking during drying of wood. Strain 46: 566–580. https://doi.org/10.1111/j.1475-1305.2008.00455.x.Search in Google Scholar
Lazarescu, C. and Avramidis, S. (2008). Drying related strain development in restrained wood. Dry. Technol. 26: 544–551. https://doi.org/10.1080/07373930801944697.Search in Google Scholar
Leonardon, M., Altaner, C. M., Vihermaa, L., and Jarvis, M. C. (2010). Wood shrinkage: influence of anatomy, cell wall architecture, chemical composition and cambial age. Eur. J. Wood Wood Prod. 68: 87–94. https://doi.org/10.1007/s00107-009-0355-8.Search in Google Scholar
Ljungdahl, J., Berglund, L. A., and Burman, M. (2006). Transverse anisotropy of compressive failure in European oak–a digital speckle photography study. Holzforschung 60: 190–195. https://doi.org/10.1515/hf.2006.031.Search in Google Scholar
Mallet, J., Kalyanasundaram, S., and Evans, P. (2018). Digital image correlation of strains at profiled wood surfaces exposed to wetting and drying. J. Imaging 4: 38. https://doi.org/10.3390/jimaging4020038.Search in Google Scholar
Muszyński, L. (2006a). Empirical data for modeling: methodological aspects in experimentation involving hygromechanical characteristics of wood. Dry. Technol. 24: 1115–1120. https://doi.org/10.1080/07373930600778254.Search in Google Scholar
Muszyński, L., Lagana, R., and Shaler, S. M. (2006b). Hygromechanical behavior of red spruce in tension parallel to the grain. Wood Fiber Sci. 38: 155–165.Search in Google Scholar
Pang, S. (2002). Predicting anisotropic shringkage of softwood Part 1: theories. Wood Sci. Technol. 36: 75–91. https://doi.org/10.1007/s00226-001-0122-4.Search in Google Scholar
Pang, S. and Herritsch, A. (2005). Physical properties of earlywood and latewood of Pinus radiata D. Don: anisotropic shrinkage, equilibrium moisture content and fibre saturation point. Holzforschung 59: 654–661. https://doi.org/10.1515/hf.2005.105.Search in Google Scholar
Peng, M., Ho, Y. C., Wang, W. C., Chui, Y. H., and Gong, M. (2012). Measurement of wood shrinkage in jack pine using three dimensional digital image correlation (DIC). Holzforschung 66: 639–643. https://doi.org/10.1515/hf-2011-0124.Search in Google Scholar
Pereira, J. L., Xavier, J., Ghiassi, B., Lousada, J., and Morais, J. (2018). On the identification of earlywood and latewood radial elastic modulus of Pinus pinaster by digital image correlation: a parametric analysis. J. Strain Anal. Eng. Des. 53: 566–574. https://doi.org/10.1177/0309324718786351.Search in Google Scholar
Suchsland, O. (2004). The swelling and shrinking of wood–a practical technology primer. Forest Products Society, Madison, WI, USA.Search in Google Scholar
Sutton, M. A., Orteu, J., and Schreier, H. (2009). Image correlation for deformation, motion and shape measurements. Springer, New York, NY, USA.10.1007/978-0-387-78747-3Search in Google Scholar
Yamashita, K., Hirakawa, Y., Nakatani, H., and Ikeda, M. (2009). Tangential and radial shrinkage variation within trees in sugi (Cryptomeria japonica) cultivars. J. Wood Sci. 55: 161–168. https://doi.org/10.1007/s10086-008-1012-2.Search in Google Scholar
Zink, A. G., Hanna, R. B., and Stelmokas, J. W. (1997). Measurement of Poisson’s ratios for yellow-poplar. Forest Prod. J. 47: 78.Search in Google Scholar
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