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The effect of frequency and temperature on dielectric properties of wood with high moisture content

  • Ruixia Qin , Huadong Xu EMAIL logo , Yanbo Hu , Liming Zhao and Nengzhi Chen
Published/Copyright: January 2, 2023
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Abstract

Dielectric sensors are a popular choice for determining wood moisture content. However, the output of these devices, especially when measuring high moisture content, may be significantly affected by the moisture content itself, by sensor frequency (f) and by environmental temperature (T). This study investigated the effect mechanism of f and T on dielectric properties of wood with different moisture contents. Dielectric constant (ε) and dielectric loss factor (tan δ) for Populus nigra, Tilia tuan, Abies fabri and Fraxinus mandshurica wood samples of various moisture contents were measured from 1 to 107 Hz and from – 40 to 25 °C. The results show that wood ε increases with increasing moisture content and temperature, and decreases with increasing f. The dielectric constant depends significantly on f when T exceeds 6 °C, the rate of ε decreases with increasing f. At room temperature, tan δ of wood with moisture content >50% were not related, and peaked between 103 and 104 Hz. The change of tan δ with T is complex. The results provide a basis for in-depth research on the dielectric properties of wood with high moisture content and a theoretical basis for the measurement and calibration of the moisture content of standing trees.


Corresponding author: Huadong Xu, College of Engineering and Technology, Northeast Forestry University, Harbin, Heilongjiang 150040, China, E-mail:

Funding source: The National Key Research and Development Program of China

Award Identifier / Grant number: 2021YFD2201205

Funding source: The Fundamental Research Funds for the Central Universities

Award Identifier / Grant number: 2572022BL03

Award Identifier / Grant number: 31870537

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

  2. Research funding: This work was financially supported by the National Key Research and Development Program of China (grant no. 2021YFD2201205), the National Natural Science Foundation of China (31870537), and the Fundamental Research Funds for the Central Universities (2572022BL03).

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

References

Boden, S., Schinker, M.G., Duncker, P., and Spiecker, H. (2012). Resolution abilities and measuring depth of high-frequency densitometry on wood samples. Measurement 45: 1913–1921, https://doi.org/10.1016/j.measurement.2012.03.013.Search in Google Scholar

Bossou, O.V., Mosig, J.R., and Zurcher, J.F. (2010). Dielectric measurements of tropical wood. Measurement 43: 400–405, https://doi.org/10.1016/j.measurement.2009.12.008.Search in Google Scholar

Burke, E.J., Harlow, R.C., and Ferré, T.P.A. (2005). Measuring the dielectric permittivity of a plant canopy and its response to changes in plant water status: an application of impulse time domain transmission. Plant Soil 268: 123–133, https://doi.org/10.1007/s11104-004-0303-7.Search in Google Scholar

Dahlen, J., Antony, F., Li, A., Love-Myers, K., Schimleck, L., and Schilling, E.B. (2015). Time-domain reflectometry for the prediction of loblolly pine and sweetgum moisture content. Bioresources 10: 4947–4960, https://doi.org/10.15376/biores.10.3.4947-4960.Search in Google Scholar

Damez, R., Artillan, P., Hellouin de Menibus, A., Bermond and, C., and Xavier, P. (2020). Effect of water content on microwave dielectric properties of building materials. Construct. Build. Mater. 263: 120107, https://doi.org/10.1016/j.conbuildmat.2020.120107.Search in Google Scholar

Deng, Z., Guan, H., Hutson, J., Forster, M.A., Wang, Y., and Simmons, C.T. (2017). A vegetation-focused soil-plant-atmospheric continuum model to study hydrodynamic soil-plant water relations. Water Resour. Res. 53: 4965–4983, https://doi.org/10.1002/2017wr020467.Search in Google Scholar

Gray, A.N. and Spies, T.A. (1995). Water content measurement in forest soils and decayed wood using time domain reflectometry. Can. J. For. Res. 25: 376–385, https://doi.org/10.1139/x95-042.Search in Google Scholar

Hao, G.Y., Wheeler, J.K., Holbrook, N.M., and Goldstein, G. (2013). Investigating xylem embolism formation, refilling and water storage in tree trunks using frequency domain reflectometry. J. Exp. Bot. 64: 2321–2332, https://doi.org/10.1093/jxb/ert090.Search in Google Scholar PubMed PubMed Central

He, H., Turner, N.C., Aogu, K., Dyck, M., Feng, H., Si, B., Wang, J., and Lv, J. (2021). Time and frequency domain reflectometry for the measurement of tree stem water content: a review, evaluation, and future perspectives. Agric. For. Meteorol. 306: 108442, https://doi.org/10.1016/j.agrformet.2021.108442.Search in Google Scholar

Hu, L., Li, W.B., Ling, Z.K., and Yu, H.S. (2017). Low temperature microwave-assisted pyrolysis of wood sawdust for phenolic rich compounds: kinetics and dielectric properties analysis. Bioresour. Technol. 238: 109–115, https://doi.org/10.1016/j.biortech.2017.04.030.Search in Google Scholar PubMed

Jafarpour, G., Dantras, E., Boudet, A., and Lacabanne, C. (2008). Molecular mobility of poplar cell wall polymers studied by dielectric techniques. J. Non-Cryst. Solids 354: 3207–3214, https://doi.org/10.1016/j.jnoncrysol.2008.01.008.Search in Google Scholar

Luo, H., Bao, L.W., Kong, L.Z., and Sun, Y.H. (2017). Low temperature microwave-assisted pyrolysis of wood sawdust for phenolic rich compounds: kinetics and dielectric properties analysis. Bioresour. Technol. 238: 109–115, https://doi.org/10.1016/j.biortech.2017.04.030.Search in Google Scholar PubMed

Mai, T.C., Razafindratsima, S., Sbartai, Z.M., Demontoux, F., and Bos, F. (2015). Non-destructive evaluation of moisture content of wood material at GPR frequency. Construct. Build. Mater. 77: 213–217, https://doi.org/10.1016/j.conbuildmat.2014.12.030.Search in Google Scholar

Martin, P., Collet, R., Barthelemy, P., and Roussy, G. (1987). Evaluation of wood characteristics internal scanning of the material by microwaves. Wood Sci. Technol. 21: 361–371, https://doi.org/10.1007/bf00380203.Search in Google Scholar

Martínez-Sala, R., Rodríguez-Abad, I., Diez Barra, R., and Capuz-Lladró, R. (2013). Assessment of the dielectric anisotropy in timber using the nondestructive GPR technique. Construct. Build. Mater. 38: 903–911, https://doi.org/10.1016/j.conbuildmat.2012.09.052.Search in Google Scholar

Nadler, A., Raveh, E., Yermiyahu, U., and Green, S.R. (2003). Evaluation of TDR use to monitor water content in stem of lemon trees and soil and their response to water stress. Soil Sci. Soc. Am. J. 67: 437–448, https://doi.org/10.2136/sssaj2003.4370.Search in Google Scholar

Norimoto, M. and Yamada, T. (1971). The dielectric properties of wood V on the dielectric anisotropy of wood. Wood Res. 51: 12–32.Search in Google Scholar

Ramasamy, S. and Moghtaderi, B. (2010). Dielectric properties of typical Australian wood-based biomass materials at microwave frequency. Energy Fuel. 24: 4534–4548, https://doi.org/10.1021/ef100623e.Search in Google Scholar

Rice, R.W., Steele, P.H., and Kumar, L. (1992). Detecting knots and voids in lumber with dielectric sensors. Ind. Metrol. 2: 309–315, https://doi.org/10.1016/0921-5956(92)80010-q.Search in Google Scholar

Sahin, H. and Ay, N. (2004). Dielectric properties of hardwood species at microwave frequencies. J. Wood Sci. 50: 375–380, https://doi.org/10.1007/s10086-003-0575-1.Search in Google Scholar

Schimleck, L., Love-Myers, K., Sanders, J., Raybon, H., Daniels, R., Mahon, J., Andrews, E., and Schilling, E. (2011). Measuring the moisture content of green wood using time domain reflectometry. For. Prod. J. 61: 428–434, https://doi.org/10.13073/0015-7473-61.6.428.Search in Google Scholar

Sparks, J.P., Campbell, G.S., and Black, A.R. (2001). Water content, hydraulic conductivity, and ice formation in winter stems of Pinus contorta: a TDR case study. Oecologia 127: 468–475, https://doi.org/10.1007/s004420000587.Search in Google Scholar PubMed

Sugimoto, H. and Norimoto, M. (2003). Dielectric relaxation of heat-treated wood. J. Soc. Mater. Sci. 52: 362–367, https://doi.org/10.2472/jsms.52.362.Search in Google Scholar

Sugimoto, H., Miki, T., Kanayama, K., and Norimoto, M. (2008). Dielectric relaxation of water adsorbed on cellulose. J. Non-Cryst. Solids 354: 3220–3224, https://doi.org/10.1016/j.jnoncrysol.2008.01.003.Search in Google Scholar

Tiitta, M. and Olkkonen, H. (2002). Electrical impedance spectroscopy device for measurement of moisture gradients in wood. Rev. Sci. Instrum. 73: 3093, https://doi.org/10.1063/1.1485783.Search in Google Scholar

Torgovnikov, G.I. (Ed.) (1993). Dielectric properties of wood-based materials. Springer, Berlin Heidelberg.10.1007/978-3-642-77453-9_8Search in Google Scholar

Xu, H.D. and Wang, L.H. (2014). Analysis of cold temperature effect on stress wave velocity in green wood. Holzforschung 68: 693–698, https://doi.org/10.1515/hf-2013-0151.Search in Google Scholar

Yu, H.Z., Liu, H., Zhang, Y.L., Ning, J.B., G, Y., Hu, T.X., and Yang, G. (2022). Design and experiment of monitoring system for surface fine fuel moisture. For. Eng. 38: 38–47.Search in Google Scholar

Received: 2022-06-20
Accepted: 2022-12-13
Published Online: 2023-01-02
Published in Print: 2023-02-23

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