Investigating water transport in MDF and OSB using a gantry-based X-ray CT scanning system

Published Date
November 2016, Volume 50, Issue 6, pp 1197–1211

Original

First Online: 

07 September 2016

DOI: 10.1007/s00226-016-0855-8

Cite this article as: 

Li, W., Van den Bulcke, J., De Schryver, T. et al. Wood Sci Technol (2016) 50: 1197. doi:10.1007/s00226-016-0855-8

Author 

• Wanzhao LiEmail author
• Jan Van den Bulcke
• Thomas De Schryver
• Joris Van Acker

Abstract 

Both medium density fiberboard (MDF) and oriented strand board (OSB) are important engineered wood products. Water uptake can decrease their physical and mechanical properties as well as induce fungal decay. It is therefore essential to understand the water transport behavior in these products in detail. In this research, a state-of-the-art gantry-based X-ray CT scanner was used to investigate the water transport and the internal microstructure of the specimens from different types of MDF and OSB during water uptake. The results show that water, obviously, is mainly absorbed from the sides of all specimens during immersion testing. Water can reach the interior of the small specimens within 1 h through large fibers and strands. Although water movement through voids is slow, high water content can be reached when these voids are filled; for example, moisture content of more than 100 % is found in MDF. A compact structure can effectively decrease water accumulation in voids. Furthermore, the presence of a water-resistant adhesive, a water-repellent additive and acetylated fibers clearly influences water transport behavior in wood fibers and voids, increasing water resistance and improve structural stability of MDF. Moisture dynamics of OSB are different, among others influenced by orientation of the strands: grain direction perpendicular to the water uptake direction can protect OSB from water penetration. Furthermore, strands covered with resin have a good water resistance.

References 

1. Boone MA, De Kock T, Bultreys T, De Schutter G, Vontobel P, Van Hoorebeke L, Cnudde V (2014) 3D mapping of water in oolithic limestone at atmospheric and vacuum saturation using X-ray micro-CT differential imaging. Mater Charact 97:150–160CrossRefGoogle Scholar
2. Cai JC, Perfect E, Cheng CL, Hu XY (2014) Generalized modeling of spontaneous imbibition based on Hagen-Poiseuille flow in tortuous capillaries with variably shaped apertures. Langmuir 30:5142–5151CrossRefPubMedGoogle Scholar
3. CEN (1993) Particleboards and fibreboards—Determination of swelling in thickness after immersion in water. European Committee for standardisation, Brussels, BelgiumGoogle Scholar
4. Chen SG, Liu XH, Fang LM, Wellwood R (2010) Digital X-ray analysis of density distribution characteristics of wood-based panels. Wood Sci Technol 44:85–93CrossRefGoogle Scholar
5. De Ridder M, Van den Bulcke J, Vansteenkiste D, Van Loo D, Dierick M, Masschaele B, De Witte Y, Mannes D, Lehmann E, Beeckman H, Van Hoorebeke L, Van Acker J (2011) High-resolution proxies for wood density variations in Terminalia superba. Ann Bot 107:293–302CrossRefPubMedGoogle Scholar
6. Del Menezzi CHS, Tomaselli I (2006) Contact thermal post-treatment of oriented strandboard to improve dimensional stability: a preliminary study. Holz Roh Werkst 64:212–217CrossRefGoogle Scholar
7. Evans PD, Morrison O, Senden TJ, Vollmer S, Roberts RJ, Limaye A, Arns CH, Averdunk H, Lowe A, Knackstedt MA (2010) Visualization and numerical analysis of adhesive distribution in particleboard using X-ray micro-computed tomography. Int J Adhes Adhes 30:754–762CrossRefGoogle Scholar
8. Ganev S, Cloutier A, Gendron G, Beauregard R (2005a) Finite element modeling of the hygroscopic warping of medium density fiberboard. Wood Fiber Sci 37:337–354Google Scholar
9. Ganev S, Gendron G, Cloutier A, Beauregard R (2005b) Mechanical properties of MDF as a function of density and moisture content. Wood Fiber Sci 37:314–326Google Scholar
10. Joffre T, Wernersson ELG, Miettinen A, Hendriks CLL, Gamstedt EK (2013) Swelling of cellulose fibres in composite materials: constraint effects of the surrounding matrix. Compos Sci Technol 74:52–59CrossRefGoogle Scholar
11. Johansson J, Kifetew G (2010) CT-scanning and modelling of the capillary water uptake in aspen, oak and pine. Eur J Wood Prod 68:77–85CrossRefGoogle Scholar
12. Kuroda K, Kagawa A, Tonosaki M (2013) Radiocesium concentrations in the bark, sapwood and heartwood of three tree species collected at Fukushima forests half a year after the Fukushima Dai-ichi nuclear accident. J Environ Radioact 122:37–42CrossRefPubMedGoogle Scholar
13. Li X, Li YH, Zhong ZK, Wang DH, Ratto JA, Sheng KC, Sun XS (2009) Mechanical and water soaking properties of medium density fiberboard with wood fiber and soybean protein adhesive. Bioresour Technol 100:3556–3562CrossRefPubMedGoogle Scholar
14. Li WZ, Van den Bulcke J, De Windt I, Van Loo D, Dierick M, Brabant L, Van Acker J (2013) Combining electrical resistance and 3-D X-ray computed tomography for moisture distribution measurements in wood products exposed in dynamic moisture conditions. Build Environ 67:250–259CrossRefGoogle Scholar
15. Li WZ, Van den Bulcke J, Mannes D, Lehmann E, De Windt I, Dierick M, Van Acker J (2014) Impact of internal structure on water-resistance of plywood studied using neutron radiography and X-ray tomography. Constr Build Mater 73:171–179CrossRefGoogle Scholar
16. Manuel D, Denis V, Bert M, Jan V, Joris V, Veerle C, Luc V (2014) Recent micro-CT scanner developments at UGCT. Nucl Instrum Methods in Phys Res B Beam Interact Mater At 324:35–40CrossRefGoogle Scholar
17. Masschaele B, Dierick M, Van Loo D, Boone MN, Brabant L, Pauwels E, Cnudde V, Van Hoorebeke L (2013) Hector: a 240kv micro-ct setup optimized for research. In: 11th International conference on X-Ray microscopy, vol 463. Shanghai
18. Migneault S, Koubaa A, Erchiqui F, Chaala A, Englund K, Krause C, Wolcott M (2008) Effect of fiber length on processing and properties of extruded wood-fiber/HDPE composites. J Appl Polym Sci 110:1085–1092CrossRefGoogle Scholar
19. Ozsahin S (2012) The use of an artificial neural network for modeling the moisture absorption and thickness swelling of oriented strand board. Bioresources 7:1053–1067Google Scholar
20. Pries M, Wagner R, Kaesler KH, Militz H, Mai C (2013) Acetylation of wood in combination with polysiloxanes to improve water-related and mechanical properties of wood. Wood Sci Technol 47:685–699CrossRefGoogle Scholar
21. Suttie E, Alexander J, Maes M (2015) Durable fibre for durable MDF—testing Tricoya. In: The international research group on wood protection. Viña del Mar IRG/WP/40704
22. Tsoumis G (1991) Science and technology of wood: structure, properties, utilization. Van Nostrand Reinhold, New YorkGoogle Scholar
23. Van den Bulcke J, Boone M, Van Acker J, Stevens M, Van Hoorebeke L (2009) X-ray tomography as a tool for detailed anatomical analysis. Ann For Sci 66(5):1CrossRefGoogle Scholar
24. Vlassenbroeck J, Dierick M, Masschaele B, Cnudde V, Hoorebeke L, Jacobs P (2007) Software tools for quantification of X-ray microtomography. Nucl Instrum Methods Phys Res A Accel Spectrom Detect Assoc Equip 580:442–445CrossRefGoogle Scholar
25. Walker JCF (1993) Primary wood processing: principles and practice. Chapman and Hall, New YorkCrossRefGoogle Scholar
26. Wang SQ, Winistorfer PM (2000) The effect of species and species distribution on the layer characteristics of OSB. For Prod J 50:37–44Google Scholar
27. Wang S, Winistorfer PM, Young TM, Helton C (2001) Step-closing pressing of medium density fiberboard; Part 1. Influences on the vertical density profile. Holz Roh Werkst 59:19–26CrossRefGoogle Scholar
28. Winistorfer PM, Xu W (1996) Layer water absorption of medium density fiberboard and oriented strandboard. For Prod J 46:69–72Google Scholar
29. Ye XP, Julson J, Kuo ML, Womac A, Myers D (2007) Properties of medium density fiberboards made from renewable biomass. Bioresour Technol 98:1077–1084CrossRefPubMedGoogle Scholar
30. Zhang M, Wong ED, Kawai S, Kwon JH (1998) Manufacture and properties of high-performance oriented strand board composite using thin strands. J Wood Sci 44:191–197CrossRefGoogle Scholar

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