Ability of near infrared spectroscopy to monitor air-dry density distribution and variation of wood

Wood and Fiber Science

Volumn 37, Issue 3, 2005, Pages 394-402

  Via, Brian K ^a   So, Chi Leung ^a   Shupe, Todd F ^a   Stine, Michael ^a   Groom, Leslie H ^b  

^a LOUISIANA STATE UNIVERSITY AGRICULTURAL CENTER   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Chip; Density; Near infrared spectroscopy (NIR); Pine; Pulp yield; Statistical process control; Wood

Indexed keywords

CALIBRATION; DENSITY (SPECIFIC GRAVITY); DENSITY MEASUREMENT (SPECIFIC GRAVITY); ESTIMATION; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; MONITORING; PRECISION ENGINEERING; PULP MANUFACTURE; SOFTWOODS; STATISTICAL PROCESS CONTROL;

AIR-DRY DENSITY DISTRIBUTION; CHIP DENSITY VARIATION; NEAR INFRARED SPECTROSCOPY (NIR); STANDARD DEVIATION;

WOOD;

CALIBRATION; DENSITY MEASUREMENT; ESTIMATION; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; MONITORING; PINUS; PROCESS CONTROL; PULP MILLS; PULPING; STATISTICAL METHODS; WOOD DENSITY; YIELD;

PINUS PALUSTRIS;

EID: 23844506271     PISSN: 07356161     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Antti, H., M. Sjöström, and L. Wallbäcks. 1996. Multivariate calibration models using NIR spectroscopy on pulp and paper industrial applications. J. Chemometr. 10(5-6):591-603.
2. Axrup, L., K. Markides, and T. Nilsson. 2000. Using miniature diode array NIR spectrometers for analyzing wood chips and bark samples in motion. J. Chemometr. 14(5-6): 561-572.
3. Duffy, G. G., and R. Kibblewhite. 1989. A new method of relating wood density, pulp quality, and paper properties. Appita J. 42(3):209-214.
4. Farrington, A. 1980. Wood and digester factors affecting kraft pulp quality and uniformity. Appita J. 34(1):40-46
5. Freund, J. E., and R. E. Walpole. 1980. Mathematical statistics: 3rd ed. Prentice-Hall, Inc., Englewood Cliffs, NJ. 548 pp.
6. Gindl, W., A. Teischinger, M. Schwanninger, and B. Hinterstoisser. 2001. The relationship between near infrared spectra of radial wood surfaces and wood mechanical properties. J. Near Infrared Spec. 9(4):255-261.
7. Gladstone, W. T., A. C. Barefoot, and B. J. Zobel. 1970. Kraft pulping of earlywood and latewood from loblolly pine. Forest Prod. J. 20(2):17-24.
8. Hoffmeyer, P., and J. G. Pedersen. 1995. Evaluation of density and strength of Norway spruce by near infrared reflectance spectroscopy. Holz Roh-Werkst 53(3):165-170.
9. Jääskeläinen, A. S., M. Nuopponen, P. Axelsson, M. Tenhunen, M. Löija, and T. Vuorinen. 2003. Determination of lignin distribution in pulps by FTIR ATR spectroscopy. J. Pulp Pap. Sci. 29(10):328-331.
10. Jonsson, P., M. Sjöström, L. Wallbäcks, and H. Antti. 2004. Strategies for implementation and validation of online models for multivariate monitoring and control of wood chip properties. J. Chemometr. 18(3-4):203-207.
11. Karenlampi, P., and H. SuurHamari. 1997. Classified wood raw materials for diversified softwood kraft pulps. Pap. Puu-Pap. Tim. 79(6):404-410.
12. Kibblewhite, R. P. 1984. Radiata pine wood and kraft pulp quality relationships. Appita J. 37(9):741-747.
13. Kibblewhite, R.P., R. Evans, and M. J. C. Riddell. 1997. Handsheet property prediction from kraft-fibre and wood-tracheid properties in eleven radiate pine clones. Appita J. 50(2): 131-138.
14. Kleppe, P. J. 1970. The process of, and products from, kraft pulping of southern pine. Forest Prod. J. 20(5):50-59.
15. Labosky, P., and G. Ifju. 1972. A study of loblolly pine growth increments. Part II. Pulp yield and related properties. Tappi J. 55(4):530-534.
16. Meder, R., A. Thumm, and D. Marston. 2003. Sawmill trial of at-line prediction of recovered lumber stiffness by NIR spectroscopy of Pinus radiata cants. J. Near Infrared Spec. 11(2):137-143.
17. Michell, A. J., and L. R. Schimleck. 1998. Developing a method for the rapid assessment of pulp yield of plantation eucalypt trees beyond the year 2000. Appita J. 51(6): 428-432.
18. Schimleck, L. R., and R. Evans. 2003. Estimation of air-dry density of increment cores by near infrared spectroscopy. Appita J. 56(4):312-317.
19. Schimleck, L. R., and R. Evans, A. J. Michell, and P. Vinden. 1996. NIR spectroscopy and principal components analysis. Appita J. 49(5): 319-324.
20. Schimleck, L. R., R. Evans, and J. Ilic. 2001a. Application of near infrared spectroscopy to a diverse range of species demonstrating wide density and stiffness variation. IAWA J. 22(4):415-429.
21. Schimleck, L. R., and R. Evans. 2001b. Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy. Can. J. For. Res. 31(10):1671-1675.
22. Schimleck, L. R., and R. Evans, and A. C. Matheson. 2002. Estimation of Pinus radiata D. Don clear wood properties by near-infrared spectroscopy. J. Wood Sci. 48(2):132-137.
23. Schimleck, L. R., and R. Evans, and J. Ilic. 2003b. Application of near infrared spectroscopy to the extracted wood of a diverse range of species. IAWA J. 24(4):429-438.
24. Schimleck, L. R., R. Stürzenbecher, P. D. Jones, and R. Evans. 2004. Development of wood property calibrations using near infrared spectra having different spectral resolutions. J. Near Infrared Spec. 12(1):55-61.
25. Swierenga, H., F. Wülfert, O. E. De Noord, A. P. De Weijer, A. K. Smilde, and L. M. C. Buydens. 2000. Development of robust calibration models in near infra-red spectrometric applications. Anal. Chem. Acta 411(1-2): 121-135.
26. Tabachnick, B. G., and L. S. Fidell. 1996. Using multivariate statistics: third edition. Harper Collins, New York, NY. 880 pp.
27. Thumm, A., and R. Meder. 2001. Stiffness prediction of radiata pine clearwood test pieces using near infrared spectroscopy. J. Near Infrared Spec. 9(2):117-122.
28. Thygesen, L. G., and S. O. Lundqvist. 2000. NIR measurement of moisture content in wood under unstable temperature conditions. Part 1. Thermal effects in near infrared spectra of wood. J. Near Infrared Spec. 8(3):183-189.
29. Tsuchikawa, S., K. Inoue, J. Noma, and K. Hayashi. 2003. Application of near-infrared spectroscopy to wood discrimination. J. Wood Sci. 49(1):29-35.
30. Veal, M. A., G. R. Marrs, and M. Jackson. 1987. Control over the quality of loblolly pine chips. Tappi J. 70(1): 51-54.
31. Via, B. K., T. F. Shupe, L. H. Groom, M. Stine, and C. L. So. 2003. Multivariate modeling of density, strength and stiffness from near infrared spectra for mature, juvenile and pith wood of longleaf pine ( Pinus palustris). J. Near Infrared Spec. 11(5):365-378.
32. Wülfert, F. W. T. Kok, O. E. De Noord, and A. K. Smilde. 2000. Linear techniques to correct for temperature-induced spectral variation in multivariate calibration. Chemometr. Intell. Lab. 51(2):189-200.