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Simultaneous prediction of density and moisture content of wood by terahertz time domain spectroscopy

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Abstract

In this study, demonstration of simultaneous prediction of solid wood density and moisture content, both of which are critical in manufacturing operations, of 4 species (Aspen, Birch, Hemlock and Maple) was accomplished using terahertz time-domain spectroscopy (THz-TDS). THz measurements of wood at various moisture contents were taken for two orientations of the THz field (parallel and perpendicular) with respect to the visible grain. The real and imaginary parts of the dielectric function averaged over the frequency range of 0.1 to 0.2 THz had strong correlation with density and moisture content of the wood. We extend a model that has been applied previously to oven-dry wood to include the effects of moisture below the fiber saturation point by combining two effective medium models, which allows the dielectric function of water, air and oven-dry cell wall material to be modeled to give an effective dielectric function for the wood. A strong correlation between measured and predicted values for density and moisture content were observed.

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Reference

  1. National Lumber Grades Authority. 2014, Standard Grading Rules for Canadian Lumber. http://nlga.org/content/standard-grading-rules-canadian-lumber. Accessed June 2014.

  2. R. Shmulsky and P. D. Jones, Forest Products and Wood Science: An Introduction, 6th edn. (Wiley-Blackwell, 2011), pp. 197-227 and 289-319.

  3. L. Y. Mwaikambo and M. P. Ansell, “The determination of porosity and cellulose content of plant fibers by density methods”, J. Mater. Sci. Lett. 20, 2095– 2096 (2001).

    Article  Google Scholar 

  4. J. Edlund, H. Lindström, F. Nilsson and M. Reale, “Modulus of elasticity of Norway spruce saw logs vs. structural lumber grade”, Holz als Roh- und Werkstoff 64, 273-279 (2006).

    Article  Google Scholar 

  5. N. Lundgren, M. Brannstrom, O. Hagman and J. Oja, “Predicting the strength of Norway spruce by microwave scanning: a comparison with other scanning techniques”, Wood Fiber Sci. 39, 167-172 (2007).

    Google Scholar 

  6. B.K. Via, C-L So, T.F. Shupe, L.G. Eckhardtl, J. Stine and L.H. Groom, “Prediction of wood mechanical and chemical properties in the presence and absence of blue stain using two near infrared instruments”, J. Near Infrared Spectrosc. 13, 201-212 (2005).

    Article  Google Scholar 

  7. C. Skaar, Wood-water Relations. (Springer-Verlag, NY, 1988), pp. 1-45.

    Google Scholar 

  8. I. D. Hartley, F.A. Kamke and H. Peemoeller, “Cluster theory for water sorption in wood”, Wood Sci. Technol. 26, 83-99 (1992).

    Article  Google Scholar 

  9. M. E. Reid and R. Fedosejevs, “Terahertz birefringence and attenuation properties of wood and paper”, Appl. Opt. 45, 2766 – 2772 (2006).

    Article  Google Scholar 

  10. T. M. Todoruk, I. D. Hartley and M. E. Reid, “Origin of birefringence in wood at terahertz frequencies”, IEEE Trans. Terahertz Sci. Technol. 2, 123 – 130 (2012).

    Article  Google Scholar 

  11. J. B. Jackson, M. Mourou, J. Labaune, J. F. Whitaker, I. N. Duling III, S. L. Williamson, C. Lavier, M. Menu and G. A. Mourou, “Terahertz pulse imaging for tree-ring analysis: a preliminary study for dendrochronology applications”, Meas. Sci. Technol. 20, 075502 (2009).

    Article  Google Scholar 

  12. S. Tanaka, K. Shiraga, Y. Ogawa, Y. Fujii and S. Okumura, “Applicability of effective medium theory to wood density measurements using terahertz time-domain spectroscopy”, J. Wood. Sci. 60, 111–116 (2014).

    Article  Google Scholar 

  13. S. Tanaka, K. Shiraga, Y. Ogawa, Y. Fujii and S. Okumura, “Effect of pore conformation on dielectric anisotropy of oven-dry wood evaluated using terahertz time-domain spectroscopy and eigenvalue problems for two-dimensional photonic crystals”, J. Wood. Sci. 60, 192–200 (2014).

    Google Scholar 

  14. T. Inagaki, I. D. Hartley, S. Tsuchikawa, M. Reid, “Prediction of oven-dry density of wood by time-domain terahertz spectroscopy”, Holzforschung 68, 61-68 (2013).

    Google Scholar 

  15. A. Teti, D. Rodriguez, J. Federici, and C. Brisson, “Non-destructive measurement of water diffusion in natural cork enclosures using terahertz spectroscopy and imaging”, J. Infrared Millim. Te. 32, 513-527 (2011).

    Article  Google Scholar 

  16. M. Koch, S. Hunsche, P. Schuacher, M. C. Nuss, J. Feldman and J. Fromm, “THz-imaging: a new method for density mapping of wood”, Wood Sci. Technol. 32, 421-427 (1998).

    Article  Google Scholar 

  17. Y. Oyama, L. Zhen, T. Tanabe and M. Kagaya, “ Sub-terahertz imaging of defects in building blocks”, NDT&E Int. 42, 28-33 (2009).

    Article  Google Scholar 

  18. P. Mousavi, F. Haran, D. Jez, F. Santosa, J.S. Dodge, “Simultaneous composition and thickness measurement of paper using terahertz time-domain spectroscopy”, Appl. Optics 48, 6541-6546 (2009).

    Article  Google Scholar 

  19. C. Jordens, S. Wietzke, M. Scheller, and M. Koch, “Investigation of the water absorption in polyamide and wood composite by terahertz time-domain spectroscopy”, Polym. Test. 29, 209-215 (2010).

    Article  Google Scholar 

  20. L. Duvillaret, F. Garet and J. L. Countaz, “A Reliable Method for Extraction of Material Parameters in Terahertz Time-Domain Spectroscopy”, IEEE J. Sel. Top. Quant. 2, 739-746 (1996).

    Article  Google Scholar 

  21. Z. Hashin, “Analysis of Composite Materials – A Survey”, J. Appl. Mech. 50, 481-505 (1983).

    Article  MATH  Google Scholar 

  22. Z. Hashin, “Assessment of the Self Consistent Scheme Approximation: Conductivity of Particulate Composites”, J. Compos. Mater. 2, 284-300 (1968).

    Article  Google Scholar 

  23. M. Dinulović and B. Rašuo, “Dielectric Properties Modeling of Composite materials”, FME Transactions 37, 117-122 (2009).

    Google Scholar 

  24. D. E. Aspnes, “Plasmonic and effective-medium theories”, Thin Solid Films 519, 2571-2574 (2011).

    Article  Google Scholar 

  25. D. E. Aspnes, “Optical properties of thin films”, Thin Solid Films 89, 249-262 (1982).

    Article  Google Scholar 

  26. P. Uhd Jepsen, U. Moeller, and H. Merbold, “Investigation of aqueous alcohol and sugar solutions with reflection terahertz time-domain spectroscopy”, Opt. Express 15, 14717-14737 (2007).

    Article  Google Scholar 

  27. K. J. Tielrooij, D. Paparo, L. Piatkowski, H. J. Bakker, and M. Bonn, “Dielectric Relaxation Dynamics of Water in Model Membranes Probed by Terahertz Spectroscopy”, Biophysics Journal 97, 2484-2492 (2009).

    Article  Google Scholar 

  28. M. Scheller, C. Jansen, M. Koch, Recent Optical and Photonic technologies. Eds K.Y. Kim, (inTech, Vukovar, 2010), pp. 231-250.

  29. J. F. Federici, “Review of Moisture and Liquid Detection and Mapping using Terahertz Imaging”, J. Infrared milli. Terahertz Waves 33, 97-126 (2012).

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the financial support from the Natural Sciences and Engineering Research Council of Canada, Western Economic Diversification Canada, the Northern Development Initiatives Trust, and the JSPS (KAKENHI, No. 2524102).

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Correspondence to Tetsuya Inagaki.

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Inagaki, T., Ahmed, B., Hartley, I.D. et al. Simultaneous prediction of density and moisture content of wood by terahertz time domain spectroscopy. J Infrared Milli Terahz Waves 35, 949–961 (2014). https://doi.org/10.1007/s10762-014-0095-7

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  • DOI: https://doi.org/10.1007/s10762-014-0095-7

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