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Wood as a hydrothermally stimulated shape-memory material: mechanisms of shape-memory effect and molecular assembly structure networks

  • Ya-li Shao , Jian-fang Yu , Hui Liu , Yu-hong An , Li-li Li , Zhang-jing Chen , Xi-ming Wang EMAIL logo and Xiao-tao Zhang EMAIL logo
Published/Copyright: April 10, 2023
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Holzforschung
From the journal Holzforschung Volume 77 Issue 6

Abstract

This study aimed to evaluate the shape-memory effect (SME) of wood (Populus x beijingensis W. Y. Hsu) and identify the net-points and switches in its molecular and morphological structures. During several cycles of deformation and subsequent recovery, a high shape recovery rate and ratio were maintained. The transverse compression tests of wet and dry wood reveal that the hydrothermal coupling stimulation can considerably reduce the strength of wood. The X-ray diffraction characterization of wood under hydrothermal stimulation shows that the role of network nodes in the SME of wood is influenced by temperature. The wavenumber shifting and changes in the intensity ratio of the characteristic Fourier transform infrared peaks showed that hydrogen bonds acted as switches for the water-stimulated shape-memory behavior. By taking into account viscoelastic relaxation, a kinetic model derived from nonequilibrium thermodynamic fluctuation theory was used to describe the shape recovery process. The effects of hydration on recovery kinetics, activation, and dynamic mechanical behaviors were also studied. To explain the shape-memory mechanism of wood under hydrothermal stimulation, a hybrid-structure network model based on a single three-dimensional switch network was proposed in this study.

Keywords: hydrothermal stimulate; net-point; shape memory; switch unit; wood
Corresponding authors: Xi-ming Wang and Xiao-tao Zhang, College of Material Science and Art Design, Inner Mongolia Agricultural University, Hohhot 010018, China, E-mail: (X. Wang), (X. Zhang)
Yali Shao and Jian-fang Yu contributed equally to this manuscript.

Funding source: The authors gratefully acknowledge the financial support from the Natural Science Foundation of the Inner Mongolia Autonomous Region

Award Identifier / Grant number: 2022MS03001

Funding source: The keypoint Research and Invention Program of Inner Mongolia Autonomous Region

Award Identifier / Grant number: 2022YFHH0134

Funding source: Research Program of science and technology at Universities of Inner Mongolia Autonomous Region

Award Identifier / Grant number: NJZY21367

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The authors gratefully acknowledge the financial support from the Natural Science Foundation of the Inner Mongolia Autonomous Region (2022MS03001), the keypoint Research and Invention Program of Inner Mongolia Autonomous Region (2022YFHH0134) and the Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region (NJZY21367).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

Almeida, T.D., Sardela, M., and Lahr, F.R. (2019). X-ray diffraction on aged brazilian wood species. Mater. Sci. Eng. 246: 96–103, https://doi.org/10.1016/j.mseb.2019.05.028.Search in Google Scholar

Altgen, M. and Rautkari, L. (2021). Humidity-dependence of the hydroxyl accessibility in Norway spruce wood. Cellulose 28: 1–14, https://doi.org/10.1007/s10570-020-03535-6.Search in Google Scholar

Arai, K.M., Takahashi, R., Yokote, Y., and Akahane, K. (1983). Amino-acid sequence of feather keratin from fowl. Eur. J. Biochem. 132: 501–507, https://doi.org/10.1111/j.1432-1033.1983.tb07390.x.Search in Google Scholar

Armstrong, L.D. and Kingston, R.S.T. (1960). Effect of moisture changes on creep in wood. Nature 185: 862–863, https://doi.org/10.1038/185862c0.Search in Google Scholar

Behl, M., Razzaq, M.Y., and Lendlein, A. (2010). Shape-memory polymers: multifunctional shape-memory polymers. Adv. Mater. 22: 3388–3410, https://doi.org/10.1002/adma.200904447.Search in Google Scholar PubMed

Brischke, C. and Alfredsen, G. (2020). Wood-water relationships and their role for wood susceptibility to fungal decay. Appl. Microbiol. Biotechnol. 104: 3781–3795, https://doi.org/10.1007/s00253-020-10479-1.Search in Google Scholar PubMed PubMed Central

Cousins, S.K. and Brown, R.M. (1995). Cellulose I microfibril assembly: computational molecular mechanics energy analysis favours bonding by van der Waals forces as the initial step in crystallization. Polymer 36: 3885–3888, https://doi.org/10.1016/0032-3861(95)99782-p.Search in Google Scholar

Cosgrove, D.J. (2005). Growth of the plant cell wall. Nat. Rev. Mol. Cell Biol. 6: 850–861, https://doi.org/10.1038/nrm1746.Search in Google Scholar PubMed

Dwianto, W., Morookal, T., Kitajima, T., and Norimotol, M. (1999). Stress relaxation of sugi (Cryptomeria japonica D.Don) wood in radial compression under high temperature steam. Holzforschung 53: 541–546, https://doi.org/10.1515/hf.1999.089.Search in Google Scholar

Emile, O., Le Floch, A., and Vollrath, F. (2006). Shape memory in spider draglines. Nature 440: 621, https://doi.org/10.1038/440621a.Search in Google Scholar PubMed

Engelund, E.T. and Salmen, L. (2012). Tensile creep and recovery of Norway spruce influenced by temperature and moisture. Holzforschung 66: 959–965, https://doi.org/10.1515/hf-2011-0172.Search in Google Scholar

Eyring, H. (1935). The activated complex in chemical reactions. J. Chem. Phys. 3: 107–115, https://doi.org/10.1063/1.1749604.Search in Google Scholar

Fenge, D. (1971). Ideas on the ultrastructural organization of the cell wall components. J. Polym. Sci., Polym. Chem. Ed. 36: 383–392, https://doi.org/10.1002/polc.5070360127.Search in Google Scholar

Gibson, L.J. and Ashby, M.F. (1997). Cellular solids: structure and properties, seconded. Cambridge University Press, Cambridge.10.1017/CBO9781139878326Search in Google Scholar

Grönquist, P., Schnider, T., Thoma, A., Gramazio, F., Kohler, M., Burgert, I., and Rüggeberg, M. (2019). Investigations on densified beech wood for application as a swelling dowel in timber joints. Holzforschung 73: 559–568, https://doi.org/10.1515/hf-2018-0106.Search in Google Scholar

Harrap, B.S. and Woods, E.F. (1964). Soluble derivatives of feather keratin. 1. isolation,fractionation and amino acid composition. Ukrainian Biochem. J. 92: 8–18, https://doi.org/10.1042/bj0920008.Search in Google Scholar PubMed PubMed Central

Hill, C., Altgen, M., and Rautkari, L. (2021). Thermal modification of wood – a review: chemical changes and hygroscopicity. J. Mater. Sci. 56: 6581–6614, https://doi.org/10.1007/s10853-020-05722-z.Search in Google Scholar

Hsich, H.S.Y. (1978). A non-linear structural relaxation model for the refractive index of glass during annealing. J. Mater. Sci. 13: 750–758, https://doi.org/10.1007/bf00570509.Search in Google Scholar

Hu, J.L. and Chen, S. (2010). A review of actively moving polymers in textile applications. J. Mater. Chem. 20: 3346–3355, https://doi.org/10.1039/b922872a.Search in Google Scholar

Hu, J.L., Zhu, Y., Huang, H.H., and Lu, J. (2012). Recent advances in shape-memory polymers: structure, mechanism, functionality, modeling and applications. Prog. Polym. Sci. 37: 1720–1763, https://doi.org/10.1016/j.progpolymsci.2012.06.001.Search in Google Scholar

Inagaki, T., Siesler, H.W., Mitsui, K., and Tsuchikawa, S. (2010). Difference of the crystal structure of cellulose in wood after hydrothermal and aging degradation: a nir spectroscopy and xrd study. Biomacromolecules 11: 2300–2305, https://doi.org/10.1021/bm100403y.Search in Google Scholar PubMed

Kaboorani, A., Blanchet, P., and Laghdir, A. (2013). A rapid method to assess viscoelastic and mechanosorptive creep in wood. Wood Fiber Sci. 45: 370–382.Search in Google Scholar

Kohlrausch, R. (1854). Theorie des elektrischen Rückstandes in der Leidner Flasche. Pogg. Ann. Phys. Chem. 167: 179–214, https://doi.org/10.1002/andp.18541670203.Search in Google Scholar

Kontturi, E., Laaksonen, P., Linder, M.B., Nonappa, Gröschel A.H., Rojas, O.J., and Ikkala, O. (2018). Advanced materials through assembly of nanocelluloses. Adv. Mater. 30: 1703779, https://doi.org/10.1002/adma.201703779.Search in Google Scholar PubMed

Laidler, K.J. and King, M.C. (1983). The development of transition-state theory. J. Phys. Chem. 87: 2657–2664, https://doi.org/10.1021/j100238a002.Search in Google Scholar

Lan, X., Huang, W.M., Liu, N., Phee, S., Leng, J.S., and Du, S.Y. (2008). Improving the electrical conductivity by forming Ni powder chains in a shape-memory polymer flled with carbon black. Electroact. Polym. Actuators Devices 6927: 692717–692718.10.1117/12.776546Search in Google Scholar

Leng, J., Lu, H., Liu, Y., and Du, S. (2008). Conductive nanoparticles in electro activated shape memory polymer sensor and actuator. Nanosensors Microsens. Bio-Systems 6931: 693109–693108.10.1117/12.775743Search in Google Scholar

Li, J. (2016). Wood protection. Science Press, Beijing, China, pp. 155–166.Search in Google Scholar

Li, W., Liu, Y., and Leng, J. (2014). Shape memory polymer nanocomposite with multi-stimuli response and two-way reversible shape memory behavior. RSC Adv. 4: 61847–61854, https://doi.org/10.1039/c4ra10716k.Search in Google Scholar

Liu, T., Zhou, T., Yao, Y., Zhang, F., Liu, L., Liu, Y., and Leng, L. (2017). Stimulus methods of multi-functional shape memory polymer nanocomposites: a review. Compos. Part A 100: 20–30, https://doi.org/10.1016/j.compositesa.2017.04.022.Search in Google Scholar

Liu, Y., Du, H., Liu, L., and Leng, J. (2014). Shape memory polymers and their composites in aerospace applications: a review. Smart Mater. Struct. 23: 23001–23022, https://doi.org/10.1088/0964-1726/23/2/023001.Search in Google Scholar

Liu, Z.Q., Jiao, D., and Zhang, Z.F. (2015). Remarkable shape memory effect of a natural biopolymer in aqueous environment. Biomaterials 65: 13–21, https://doi.org/10.1016/j.biomaterials.2015.06.032.Search in Google Scholar PubMed

Mendez, J., Annamalai, P.K., Eichhorn, S.J., Rusli, R., Rowan, S.J., Foster, E.J., and Weder, C. (2011). Bioinspired mechanically adaptive polymer nanocomposites with water-activated shape-memory effect. Macromolecules 44: 6827–6835, https://doi.org/10.1021/ma201502k.Search in Google Scholar

Mondal, S., Hu, J., and Yong, Z. (2006). Free volume and water vapor permeability of dense segmented polyurethane membrane. J. Membr. Sci. 280: 427–432, https://doi.org/10.1016/j.memsci.2006.01.047.Search in Google Scholar

Navi, P. and Girardet, F. (2000). Effects of thermo-hydro-mechanical treatment on the structure and properties of wood. Holzforschung 54: 287–293, https://doi.org/10.1515/hf.2000.048.Search in Google Scholar

Navi, P. and Sandberg, D. (2012). Thermo-hydro-mechanical processing of wood. EPFL Press, Lausanne Switzerland.10.1201/b10143Search in Google Scholar

Nogi, M., Yamamoto, H., and Okuyama, T. (2003). Relaxation mechanism of residual stress inside logs by heat treatment: choosing the heating time and temperature. J. Wood Sci. 49: 0022–0028, https://doi.org/10.1007/s100860300004.Search in Google Scholar

Pilate, F., Mincheva, R., Winter, J.D., Gerbaux, P., Wu, L., Todd, R., Raquez, J., and Dubois, P. (2014). Design of multistimuli-responsive shape-memory polymer materials by reactive extrusion. Chem. Mater. 26: 5860–5867, https://doi.org/10.1021/cm5020543.Search in Google Scholar

Placet, V., Cisse, O., and Boubakar, M.L. (2012). Influence of environmental relative humidity on the tensile and rotational behaviour of hemp fibres. J. Mater. Sci. 47: 3435–3446, https://doi.org/10.1007/s10853-011-6191-3.Search in Google Scholar

Rofii, M.N., Kubota, S., Kobori, H., Kojima, Y., and Suzuki, S. (2016). Furnish type and mat density effects on temperature and vapor pressure of wood-based panels during hot pressing. J. Wood Sci. 62: 168–173, https://doi.org/10.1007/s10086-015-1531-6.Search in Google Scholar

Schaedler, T.A., Jacobsen, A.J., Torrents, A., Sorensen, A.E., Lian, J., Greer, J.R., Valdevit, L., and Carter, W.B. (2011). Ultralight metallic microlattices. Science 334: 962–965, https://doi.org/10.1126/science.1211649.Search in Google Scholar PubMed

Schiessel, H., Metzler, R., Blumen, A., and Nonnenmacher, T.F. (1995). Generalized viscoelastic models: their fractional equations with solutions. J. Phys. A Mach. Gen. 28: 6567–6584, https://doi.org/10.1088/0305-4470/28/23/012.Search in Google Scholar

Shao, Y.L., Wang, X.M., Chen, Z., and Wang, S. (2020). Effects of thermo-hydro-mechanical treatments on various physical and mechanical properties of poplar (Populus) wood. Bioresources 15: 9596–9610, https://doi.org/10.15376/biores.15.4.9596-9610.Search in Google Scholar

Shao, Y.L. and Wang, X.M. (2021). A review of shape memory effect and mechanism of wood. Mater. Rep. 35: 10.Search in Google Scholar

Shen, J., Xie, Y.M., Zhou, S., Huang, X., and Ruan, D. (2014). Water-responsive rapid recovery of natural cellular material. J. Mech. Behav. Biomed. Mater. 34C: 283–293, https://doi.org/10.1016/j.jmbbm.2014.02.022.Search in Google Scholar PubMed

Sjöström, E. (1993). Wood chemistry: fundamentals and applications, Gulf Professional Publishing. NY, USA.Search in Google Scholar

Tsyganova, S., Mazurova, E., Bondarenko, G., and Chesnokov, N. (2016). Influence of prolonged exposure of wood to water on wood structure and biochar properties. Wood Sci. Technol. 50: 963–972, https://doi.org/10.1007/s00226-016-0831-3.Search in Google Scholar

Ugolev, B.N. (2014). Wood as a natural smart material. Wood Sci. Technol. 48: 553–568, https://doi.org/10.1007/s00226-013-0611-2.Search in Google Scholar

Wache, H.M., Tartakowska, D.J., Hentrich, A., and Wagner, M.H. (2003). Development of a polymer stent with shape memory efect as a drug delivery system. J. Mater. Sci. Mater. Med. 14: 109–112, https://doi.org/10.1023/a:1022007510352.10.1023/A:1022007510352Search in Google Scholar PubMed

Wang, W., Liu, Y., and Leng, J. (2016). Recent developments in shape memory polymer nanocomposites: actuation methods and mechanisms. Coord. Chem. Rev. 320–321: 38–52, https://doi.org/10.1016/j.ccr.2016.03.007.Search in Google Scholar

Wang, Y., Cheng, Z., Liu, Z., Kang, H., and Liu, Y. (2018). Cellulose nanofibers/polyurethane shape memory composites with fast water-responsivity. J. Mater. Chem. B 6: 1668–1677, https://doi.org/10.1039/c7tb03069j.Search in Google Scholar PubMed

Williams, G. and Watts, D.C. (1970). Non-symmetrical dielectric relaxation behavior arising from a simple empirical decay function. Trans. Faraday Soc. 66: 80–85, https://doi.org/10.1039/tf9706600080.Search in Google Scholar

Xiao, X. and Hu, J. (2016). Animal hairs as water-stimulated shape memory materials: mechanism and structural networks in molecular assemblies. Sci. Rep. 6: 26393, https://doi.org/10.1038/srep26393.Search in Google Scholar PubMed PubMed Central

Xiao, X.L., Hu, J.L., Gui, X.T., Lu, J., and Luo, H. (2016). Is biopolymer hair a multi-responsive smart material? Polym. Chem. 8: 283–294, https://doi.org/10.1039/c6py01283c.Search in Google Scholar

Zhu, Y., Hu, J., Luo, H., Young, R.J., Deng, L., Zhang, S., Fan, Y., and Ye, G. (2012). Rapidly switchable water-sensitive shape-memory cellulose/elastomer nano-composites. Soft Matter 8: 2509–2517, https://doi.org/10.1039/c2sm07035a.Search in Google Scholar
Received: 2022-11-27
Accepted: 2023-03-21
Published Online: 2023-04-10
Published in Print: 2023-06-27

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Wood Physics/Mechanical Properties
  3. Effects of seismic strain rates on the perpendicular-to-grain compression behaviour of Dahurian larch, Mongolian pine and Chinese poplar: tests and stress-strain model
  4. The effect of the growth ring orientation on spring-back and set-recovery in surface-densified wood
  5. Synergistic improvement to dimensional stability of Populus cathay ana via hemicellulose removal/alkali lignin impregnation
  6. Adding gaseous ammonia with heat treatment to improve the mechanical properties of spruce wood
  7. Wood as a hydrothermally stimulated shape-memory material: mechanisms of shape-memory effect and molecular assembly structure networks
  8. Wood Chemistry
  9. Structural comparison of different isolated eucalyptus lignins and analysis of their interaction mechanism with bovine serum albumin solution under QCM-D
  10. Role of α-Fe2O3 nano-particles in protecting wood from ultraviolet light degradation
  11. Wood Science – Non-Tree Plants
  12. Radial distribution of vascular bundle morphology in Chinese bamboos: machine learning methodology for rapid sampling and classification
https://doi.org/10.1515/hf-2022-0181
Keywords for this article
hydrothermal stimulate; net-point; shape memory; switch unit; wood

Articles in the same Issue

  1. Frontmatter
  2. Wood Physics/Mechanical Properties
  3. Effects of seismic strain rates on the perpendicular-to-grain compression behaviour of Dahurian larch, Mongolian pine and Chinese poplar: tests and stress-strain model
  4. The effect of the growth ring orientation on spring-back and set-recovery in surface-densified wood
  5. Synergistic improvement to dimensional stability of Populus cathay ana via hemicellulose removal/alkali lignin impregnation
  6. Adding gaseous ammonia with heat treatment to improve the mechanical properties of spruce wood
  7. Wood as a hydrothermally stimulated shape-memory material: mechanisms of shape-memory effect and molecular assembly structure networks
  8. Wood Chemistry
  9. Structural comparison of different isolated eucalyptus lignins and analysis of their interaction mechanism with bovine serum albumin solution under QCM-D
  10. Role of α-Fe2O3 nano-particles in protecting wood from ultraviolet light degradation
  11. Wood Science – Non-Tree Plants
  12. Radial distribution of vascular bundle morphology in Chinese bamboos: machine learning methodology for rapid sampling and classification
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