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An optimized UMR sensor for non-destructive measurements of moisture in wood

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Abstract

This paper details the design and implementation of a unilateral magnetic resonance (UMR) sensor for non-destructive detection of wood moisture. The sensor composed of a unilateral magnet, an anti-eddy current module, a radio frequency (RF) coil, and an impedance matching and tuning circuit. A static magnetic field of 71.1 mT (resonant frequency of 3.027 MHz) was established in a 50 mm × 50 mm plane 75 mm above the sensor surfaces. A preliminary non-destructive measurement of wood moisture was carried out. The radial moisture distribution of the cylindrical stump sample was measured by one-dimensional scanning, and the variation of transverse relaxation time (T2) was observed during the process of water gradually penetrating from bark to core. The moisture volatilization during wood drying was measured by UMR as well. The results showed that as the drying intensified, the long T2 peak of the T2 spectrum of the tested sample moved significantly to the left, the integral area gradually decreased, and the integral area was proportional to the moisture content of wood samples. This study presents a portable UMR measurement equipment design scheme for wood research, and it is possible for non-destructive measurement of wood in the field.

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References

  1. R.M. Rowell, Handbook of Wood Chemistry and Wood Composites (CRC Press, Florida, 2005)

    Book  Google Scholar 

  2. J.F. Siau, Flow in Wood (Syracuse University Press, New York, 1971)

    Google Scholar 

  3. A. Panshin , De Z C, Textbook of wood technology. J Am for 1970

  4. J.C.F. Walker, Basic Wood Chemistry and Cell Wall Ultrastructure (Springer, Dordrecht, 2006)

    Book  Google Scholar 

  5. W.T. Simpson, X. Wang, Estimating air-drying times of small-diameter ponderosa pine and douglas-fir logs. Forest Produc Soc (2003). https://doi.org/10.2737/FPL-RP-613

    Article  Google Scholar 

  6. V. Bucur, Nondestructive Characterization and Imaging of Wood (Springer, Berlin, 2003)

    Book  Google Scholar 

  7. Y.D. Zhou, The measurement of wood moisture content and analysis of its influence factors. China Wood Industr 14(5), 29–30 (2000)

    ADS  Google Scholar 

  8. X.C. Ma, F. Liang, Summarization of detection method for wood contains moisture. Metrol Meas Tech 37(4), 82–84 (2010)

    MathSciNet  Google Scholar 

  9. A Standard, D4442–07 Standard Test Methods for Direct Moisture Content Measurement of Wood and Wood-Base Materials (ASTM International, Conshohocken, 2007)

    Google Scholar 

  10. W.L. James, Electric Moisture Meters for Wood (US Department of Agriculture, Forest Service, Forest Products Laboratory, 1963)

    Google Scholar 

  11. A. Kraszewski, Microwave instrumentation for moisture content measurement. J Microw Power 8(3), 323–335 (1973)

    Article  Google Scholar 

  12. S. Trabelsi, S.O. Nelson, Density-independent functions for on-line microwave moisture meters: a general discussion. Meas Sci Technol 9(4), 570 (1998)

    Article  ADS  Google Scholar 

  13. P.C. Wang, S.J. Chang, Nuclear magnetic resonance imaging of wood. Wood Fiber Sci 18(2), 308–314 (1986)

    Google Scholar 

  14. L.D. Hall, V. Rajanayagam, W.A. Stewart et al., Magnetic resonance imaging of wood. Can J For Res 16(2), 423–426 (1986)

    Article  Google Scholar 

  15. R. Meder, R.A. Franich, P.T. Callaghan, 11B magnetic resonance imaging and MAS spectroscopy of trimethylborate-treated radiata pine wood. Solid State Nucl Magn Reson 15(1), 69–72 (1999)

    Article  Google Scholar 

  16. S. Flibotte, R.S. Menon, A.L. MacKay et al., Proton magnetic resonance of western red cedar. Wood Fiber Sci 22(4), 362–376 (1990)

    Google Scholar 

  17. S. Hameury, M. Sterley, Magnetic resonance imaging of moisture distribution in Pinus sylvestris L. exposed to daily indoor relative humidity fluctuations. Wood Mater Sci Eng 1(3–4), 116–126 (2006)

    Article  Google Scholar 

  18. G. Almeida, S. Gagné, R.E. Hernández, A NMR study of water distribution in hardwoods at several equilibrium moisture contents. Wood Sci Technol 41(4), 293–307 (2007)

    Article  Google Scholar 

  19. S. Stenström, C. Bonazzi, L. Foucat, Magnetic resonance imaging for determination of moisture profiles and drying curves. Mod Dry Techn (2014). https://doi.org/10.1002/9783527631728.ch10

    Article  Google Scholar 

  20. B. Blümich, J. Perlo, F. Casanova, Mobile single-sided NMR. Prog Nucl Magn Reson Spectrosc 52(4), 197–269 (2008)

    Article  Google Scholar 

  21. B. Blümich, S. Haber-Pohlmeier, W. Zia, Compact NMR. De Gruyter (2014). https://doi.org/10.1515/9783110266719

    Article  Google Scholar 

  22. F. Casanova, J. Perlo, B. Blümich, Single-sided NMR (Springer, Berlin Heidelberg, Berlin, 2011)

    Book  Google Scholar 

  23. S. Rahmatallah, Y. Li, H.C. Seton et al., Measurement of relaxation times in foodstuffs using a one-sided portable magnetic resonance probe. Eur Food Res Technol 222(3–4), 298–301 (2006)

    Article  Google Scholar 

  24. D. Kornetka, M. Trammer, J. Zange, Evaluation of a mobile NMR sensor for determining skin layers and locally estimating the T2eff relaxation time in the lower arm. Magn Reson Mater Phys Biol Med 25(6), 455–466 (2012)

    Article  Google Scholar 

  25. B. Blümich, F. Casanova, J. Perlo et al., Advances of unilateral mobile NMR in nondestructive materials testing. Magn Reson Imaging 23(2), 197–201 (2005)

    Article  Google Scholar 

  26. E. Danieli, B. Blümich, Single-sided magnetic resonance profiling in biological and materials science - sciencedirect. J Magn Reson 45(24), 142–154 (2014)

    Google Scholar 

  27. Z. Xu, L. Li, P. Guo et al., Portable unilateral NMR measuring system for assessing the aging status of silicon rubber insulators. Appl Magn Reson 50(1), 277–291 (2019)

    Article  Google Scholar 

  28. M. Talamo, F. Valentini, A. Dimitri et al., Innovative technologies for cultural heritage. tattoo sensors and ai: the new life of cultural assets. Sensors (Basel, Switzerland) 20, 7 (2020)

    Article  Google Scholar 

  29. A.C. C, B.L. S, C.M. R et al., Determination of moisture fraction in wood by mobile NMR device. J Magn Reson 171(2), 364–372 (2004)

    Article  ADS  Google Scholar 

  30. L. Senni, C. Casieri, A. Bovino et al., A portable NMR sensor for moisture monitoring of wooden works of art, particularly of paintings on wood. Wood Sci Technol 43(1), 167–180 (2009)

    Article  Google Scholar 

  31. M. Jones, P.S. Aptaker, J. Cox et al., A transportable magnetic resonance imaging system for in situ measurements of living trees: the tree hugger. J Magn Reson 218, 133–140 (2012)

    Article  ADS  Google Scholar 

  32. C. Lamason, B. Macmillan, B. Balcom et al., Examination of water phase transitions in black spruce by magnetic resonance and magnetic resonance imaging. Pol J Radiol 80(4), 93–106 (2014)

    Google Scholar 

  33. C. Lamason, B. Macmillan, B. Balcom et al., Water content measurement in black spruce and aspen sapwood with benchtop and portable magnetic resonance devices. Wood Mat Sci Eng 10(1), 86–93 (2015)

    Article  Google Scholar 

  34. C. Lamason, B. Macmillan, B. Balcom et al., Field measurements of moisture content in black spruce logs with unilateral magnetic resonance. For Prod J 2017, 67(1-2): 55-62.

  35. C. Lamason, B. MacMillan, B. Balcom et al., Magnetic resonance studies of wood log-drying processes. Forest Prod J 67(3–4), 266–274 (2017)

    Article  Google Scholar 

  36. M. Meixner, J. Kochs, P. Foerst et al., An integrated magnetic resonance plant imager for mobile use in greenhouse and field. J Magn Reson (2020). https://doi.org/10.1016/j.jmr.2020.106879

    Article  Google Scholar 

  37. D.I. Hoult, R.E. Richards, The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson 213(2), 329–343 (2011)

    Article  ADS  Google Scholar 

  38. M.D. Hürlimann, D.D. Griffin, Spin dynamics of carr–purcell–meiboom–gill-like sequences in grossly inhomogeneous b0 and b1 fields and application to NMR well logging. J Magn Reson 143(1), 120–135 (2000)

    Article  ADS  Google Scholar 

  39. G. Pan, Research on Key Technology and Application of Portable and Fully Open Nuclear Magnetic Resonance Instrument (Chongqing University, Chongqing, 2014)

    Google Scholar 

  40. A. Giana, G. Stéphané, E.H. Roger, A NMR study of water distribution in hardwoods at several equilibrium moisture contents. Wood SciTechnol 41(4), 293–307 (2007)

    Google Scholar 

  41. M.H. Zhang, X.Y. Li, Y.J. Zhou et al., Water status change in wood drying studied by time-domain NMR. Scientia Silvae Sinicae 50(12), 109–113 (2014)

    Google Scholar 

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Funding

This research was funded by the National Natural Science Foundation of China (No. 51707028), Chongqing Natural Science Foundation (No. cstc2021jcyj-msxmX0470), and Science and Technology Funds of Chongqing Municipal Education Commission (KJQN202100533).

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Authors and Affiliations

  1. College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, China

    Pan Guo & Chenjie Yang

  2. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China

    Dengjie Yu & Zheng Xu

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  1. Pan Guo
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  2. Chenjie Yang
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  3. Dengjie Yu
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  4. Zheng Xu
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Correspondence to Pan Guo.

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Guo, P., Yang, C., Yu, D. et al. An optimized UMR sensor for non-destructive measurements of moisture in wood. Appl. Phys. A 128, 907 (2022). https://doi.org/10.1007/s00339-022-06016-8

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