Wood Shrinkage Prediction Using NIR Spectroscopy
Keywords:Shrinkage, extractives, density, <i>Swietenia macrophylla</i>, NIR
AbstractThe ability to predict wood shrinkage could help manufacturers avoid lumber with abnormal dimensional stability or match pieces with similar properties in glued assemblies. Near infrared (NIR) spectroscopy is a rapid, nondestructive technique that has been used to predict various wood properties, including extractive content and density. Fifty-seven mahogany (Swietenia macrophylla) blocks were scanned using an NIR spectrometer, and were measured for specific gravity, extractives content, and total volumetric swelling. Models were created to predict the wood properties using the NIR data. These models could provide reasonable predictions of shrinkage, density, and extractives content. The use of nonlinear kernel and wavelet statistical techniques improved model performance. It may be possible to use NIR spectroscopy for the on-line sorting of wood according to dimensional stability.
American Society for Testing and Materials (ASTM) (2001) Standard D 1105-96(2001). Standard test method for preparation of extractive free wood. Volume 4.10. Wood. ASTM Annual Book of Standards, ASTM International, West Conshohocken, PA, Pp. 176-177.nBaker S, Kramer B, Srivastava S (2002) Markers for early detection of cancer: Statistical guidelines for nested case-control studies. BMC Med Res Methodol 2:4.nChoong ET (1969) Effect of extractives on shrinkage and other hygroscopic properties of ten southern pine woods. Wood Fiber 1:124-133.nChoong ET, Achmadi SS (1991) Effect of extractives on moisture sorption and shrinkage in tropical woods. Wood Fiber Sci 23(2):185-196.nDuan N, Manning WG, Morris CN, Newhouse JP (1983) A comparison of alternative models for the demand for medical care. J Bus Econ Stat 1(2):115-126.nFlaete PO, Haartveit EY (2004) Non-destructive prediction of decay resistance of Pinus sylvestris heartwood by near infrared spectroscopy. Scand J Fr Res 19(Suppl. 5): 55-63.nForest Products Laboratory (1987) Wood handbook: Wood as an engineering material. Agric. Handb. 72. Washington DC. U.S. Department of Agriculture. 466 pp.nGierlinger N, Schwanniger M, Hinterstoisser B, Wimmer R (2002) Rapid determination of heartwood extractives in Larix sp. by means of Fourier transform near infrared spectroscopy. J Near Infrared Spectrosc 10:203-214.nHillis W 1987. Heartwood and tree exudates. Springer-Verlag, New York. 268 pp.nHoffmeyer P, Pedersen JG (1995) Evaluation of density and strength of Norway spruce wood by near infrared reflectance spectroscopy. Holz Roh- Werkst 53:165-170.nJong S (1993) SIMPLS: An alternative approach to partial least squares regression. Chemom Intell Lab Syst 18(3): 251-263.nJung U, Jeong MK, Lu JC (2006) A vertical-energy-thresholding procedure for data reduction with multiple complex curves. IEEE Syst Man Cy B 36(5):1128-1138.nNaes T, Isaksson T, Fearn T, Davies T (2004) A user-friendly guide to multivariate calibration and classification. NIR publications, Chichester, UK. 344 pp.nPanshin AJ, de Zeeuw C (1980) Textbook of wood technology. McGraw-Hill, Inc. New York. 722 pp.nRosipal R, Trejo LJ (2001) Kernel partial least squares regression in reproducing kernel Hilbert space. J Mach Learn Res 2:97-123.nRosipal R, Trejo LJ (2003) Kernel partial least squares for nonlinear regression and discrimination. Neural Netw World. 13(3):291-300.nSchimleck LR, Mora C, Daniels RF (2003) Estimation of the physical wood properties of green Pinus taeda radial samples by near infrared spectroscopy. Can J For Res 33:2297-2305.nSo C-L, Via BK, Groom LH, Schimleck LR, Shupe TF, Kelley SS, Rials TG (2004) Near Infrared Spectroscopy in the Forest Products Industry. Forest Prod J 54(3):6-16.nSuchsland O 2004. The swelling and shrinkage of wood: A practical technology primer. Forest Products Society, Madison WI. 189 pp.nThygesen LG (1994) Determination of dry matter content and basic density of Norway spruce by near infrared reflectance and transmittance spectroscopy. J Near Infrared Spectrosc 2:127-135.nTsuchikawa S, Hirashima Y, Sasaki Y, Ando K (2005) Near-infrared spectroscopy study of the physical and mechanical properties of wood with meso- and micro-scale anatomical observation. Appl Spectrosc 59(1):86-93.nTsuchikawa S, Hirashima Y, Sasaki Y, Ando K (2007) A review of recent near infrared research for wood and paper. Appl Spectrosc Rev 42:43-71.nVia BK, So CL, Shupe TF, Stine M, Groom LH (2005) Ability of near infrared spectroscopy to monitor air-dry density distribution and variation of wood. Wood Fiber Sci 37(3):394-402.n
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