Characterization and evaluation of wood strand composite load capacity with near infrared spectroscopy

Materials and Structures/Materiaux et Constructions

Volumn 46, Issue 11, 2013, Pages 1801-1810

  Via, Brian ^a  

^a AUBURN UNIVERSITY   (United States)

Author keywords

Adhesive; Biomaterial; Composite; NIR; Non destructive

Indexed keywords

COMPOSITE LOADS; MULTIVARIATE MODELS; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NIR; NON DESTRUCTIVE; PHENOL FORMALDEHYDE; PREDICTIVE CAPABILITIES; PRINCIPAL COMPONENTS;

ADHESIVES; BIOLOGICAL MATERIALS; BIOMATERIALS; CELLULOSE; COMPOSITE MATERIALS; LIGNIN; MECHANICAL PROPERTIES; METABOLISM; NEAR INFRARED SPECTROSCOPY; RESINS; UREA;

FORECASTING;

ADHESIVES; CELLULOSE; COMPOSITES; FORECASTS; INFRARED SPECTROSCOPY; LIGNINS; MECHANICAL PROPERTIES; METABOLISM; UREA;

EID: 84886098394     PISSN: 13595997     EISSN: None     Source Type: Journal    
DOI: 10.1617/s11527-013-0018-4     Document Type: Article

References (39)

1. Chen Z, Yan N, Cooper P (2008) Effect of panel properties on the concentrated static load (CSL) performance of oriented strand board (OSB). Holz Roh Werkst 66(3):207-212
2. Chen Z, Yan N, Cooper P (2008) Effects of furnish parameters on concentrated static load (CSL) and related properties of oriented strandboard. For Prod J 58(1-2):59-64
3. Thomas WH (2003) Failure modes and trend curves for load capacity and stiffness of OSB panels subjected to concentrated load. Mater Struct 36(1):68-72
4. Zhang Y, Yan N, Cooper PA (2005) Predicting concentrated static load performance of oriented strandboard. For Prod J 55(12):148-152
5. Meder R, Thung T, Schimleck L (2010) Guest editorial: Seeing the wood in the trees: unleashing the secrets of wood via near infrared spectroscopy. J Near Infrared Spectrosc 18(6):v-vii
6. So CL, Via BK, Groom LH, Schimleck LR, Shupe TF, Kelley SS, Rials TG (2004) Near infrared spectroscopy in the forest products industry. For Prod J 54(3):6-16
7. Via BK (2010) Prediction of oriented strand board wood strand density by near infrared and Fourier transform infrared reflectance spectroscopy. J Near Infrared Spectrosc 18(6):491-498
8. Via BK, Shupe TF, Groom LH, Stine M, So CL (2003) Multivariate modelling of density, strength and stiffness from near infrared spectra for mature, juvenile and pith wood of longleaf pine (Pinus palustris). J Near Infrared Spectrosc 11(1):365-378
9. Via BK, So CL, Shupe TF, Groom LH, Wikaira J (2009) Mechanical response of longleaf pine to variation in microfibril angle, chemistry associated wavelengths, density, and radial position. Composites A 40(1):60-66
10. Via BK, So CL, Groom LH, Shupe TF, Stine M, Wikaira J (2007) Within tree variation of lignin, extractives, and microfibril angle coupled with the theoretical and near infrared modeling of microfibril angle. IAWA J 28(2):189-209
11. Hein PRG, Clair B, Brancheriau L, Chaix G (2010) Predicting microfibril angle in Eucalyptus wood from different wood faces and surface qualities using near infrared spectra. J Near Infrared Spectrosc 18(6):455-464
12. André N, Cho H, Baek SH, Jeong M, Young TM (2008) Prediction of internal bond strength in a medium density fiberboard process using multivariate statistical methods and variable selection. Wood Sci Technol 42(7):521-534
13. Dolezel-Horwath E, Hutter T, Kessler R, Wimmer R (2005) Feedback and feedforward control of wet-processed hardboard production using spectroscopy and chemometric modelling. Anal Chim Acta 544(1-2):47-59
14. Gaspar F, Lopes J, Cruz H, Schwanninger M, Rodrigues J (2009) Application of near infrared spectroscopy and multivariate data analysis for the evaluation of glue lines of untreated and copper azole treated laminated timber before and after ageing. Polym Degrad Stab 94(7):1061-1071
15. Taylor A, Via BK (2009) Potential of visible and near infrared spectroscopy to quantify phenol formaldehyde resin content in oriented strandboard. Eur J Wood Wood Prod 67(1):3-5
16. Thomas WH (2004) Modelling the influence of boundary conditions on the concentrated load performance of oriented strand board floor decking. Holz Roh Werkst 62(1):44-49
17. Schimleck LR, Sturzenbecher R, Jones PD, Evans R (2004) Development of wood property calibrations using near infrared spectra having different spectral resolutions. J Near Infrared Spectrosc 12(1):55-61
18. Via BK, Fasina OO, Hui P (2011) Assessment of biomass density through mid-infrared spectroscopy and multivariate modeling. Bioresources 6(1):807-822
19. Sjoblom E, Johnsson B, Sundstrom H (2004) Optimization of particleboard production using NIR spectroscopy and multivariate techniques. For Prod J 54(6):71-75
20. Collins M, Kasal B (2010) Dynamically loaded light-frame wood stud walls: experimental verification of an analytical model. Mater Struct 43:1203-1216
21. Meder R, Thumm A, Bier H (2002) Veneer stiffness predicted by NIR spectroscopy calibrated using mini-LVL test panels. Holz Roh Werkst 60(3):159-164
22. Rials TG, Kelley SS, So CL (2002) Use of advanced spectroscopic techniques for predicting the mechanical properties of wood composites. Wood Fiber Sci 34(3):398-407
23. Hein PRG, Sá VA, Bufalino L, Mendes LM (2009) Calibrations based on near infrared spectroscopic data to estimate wood-cement panel properties. Bioresources 4(4):1620-1634
24. Hein PRG, Campos ACM, Mendes RF, Chaix G (2011) Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy. Eur J Wood Wood Prod 69(3):431-442
25. Via BK, McDonald T, Fulton F (2012) Nonlinear multivariate modeling of strand density from near infrared spectra. Wood Sci Technol 46(6):1073-1084
26. Jiang B, Huang YD (2007) Near infrared spectroscopy for on-line monitoring of alkali-free cloth/phenolic resin prepreg during manufacture. Int J Mol Sci 8(6):541-552
27. Minopoulou E, Dessipri E, Chryssikos GD, Gionis V, Paipetis A, Panayiotou C (2003) Use of NIR for structural characterization of urea-formaldehyde resins. Int J Adhesion Adhesives 23(6):473-484
28. Schwanninger M, Hinterstoisser B, Gradinger C, Messner K, Fackler K (2004) Examination of spruce wood biodegraded by Ceriporiopsis subvermispora using near and mid infrared spectroscopy. J Near Infrared Spectrosc 12(1):397-409
29. Soukupova J, Rock BN, Albrechtova J (2002) Spectral characteristics of lignin and soluble phenolics in the near infrared - a comparative study. Int J Remote Sens 23(15):3039-3055
30. Terdwongworakul A, Punsuwan V, Thanapase W, Tsuchikawa S (2005) Rapid assessment of wood chemical properties and pulp yield of Eucalyptus camaldulensis in Thailand tree plantations by near infrared spectroscopy for improving wood selection for high quality pulp. J Wood Sci 51(2):167-171
31. Tsuchikawa S, Inoue K, Mitsui K (2004) Spectroscopic monitoring of wood characteristics variation by light-irradiation. For Prod J 54(11):71-76
32. Workman J, Weyer L (2008) Practical guide to interpretive near-infrared spectroscopy. CRC Press, Boca Raton, pp 1-332
33. Ragauskas AJ, Williams CK, Davison BH, Britovsek G, Cairney J, Eckert CA, Frederick WJ, Hallett JP, Leak DJ, Liotta CL, Mielenz JR, Murphy R, Templer R, Tschaplinski CL (2006) The path forward for biofuels and biomaterials. Science 311(5760):484-489
34. Geladi P, Kowalski BR (1986) Partial least-squares regression - a tutorial. Anal Chim Acta 185:1-17
35. So CL, Eberhardt TL, Hsu E, Via BK, Hse CY (2007) Infrared spectroscopic monitoring of urea addition to oriented strandboard resins. J Appl Polym Sci 105(2):733-738
36. Kim MG, Watt C, Davis CR (1996) Effects of urea addition to phenol-formaldehyde resin binders for oriented strandboard. J Wood Chem Technol 16(1):21-34
37. Fratzl P, Weinkamer R (2007) Nature's hierarchical materials. Prog Mater Sci 52(8):1263-1334
38. Mitsui K, Inagaki T, Tsuchikawa S (2008) Monitoring of hydroxyl groups in wood during heat treatment using NIR spectroscopy. Biomacromolecules 9(1):286-288
39. Wolcott MP, Kamke FA, Dillard DA (1990) Fundamentals of flakeboard manufacture - viscoelastic behavior of the wood component. Wood Fiber Sci 22(4):345-361