Wood Science and Technology

, Volume 52, Issue 6, pp 1511–1525 | Cite as

Surface deformation of walnut burl veneer on aircraft sandwich panels assessed by three-dimensional digital image correlation

  • Jedi Rosero-Alvarado
  • Roger E. HernándezEmail author
  • Bernard Riedl


The three-dimensional digital image correlation method (3D-DIC) was used to study the surface deformation of aircraft interior sandwich panels as a result of a water vapor adsorption treatment. The effects of a fire-retardant treatment and wood burl structure were evaluated. Unvarnished and varnished panels made with walnut burl veneer (Juglans hibdsii L.) were selected and analyzed separately. Half of the samples from each type of panel received a fire-retardant treatment (phosphate based) on all three layers of the decorative plywood. The other half had the two inner layers treated and the outer layer untreated. Swirl grain and bud traces areas were identified on the burl pattern of veneer surfaces. Samples preconditioned to 20 °C and 40% relative humidity underwent an adsorption (25 °C, 90% RH) treatment. Changes in moisture content were measured after adsorption. Full-field swelling strains (in-plane) and Z-displacements (out-of-plane) were obtained from each figure type in samples after the adsorption conditioning. The application of the 3D-DIC method revealed that the fire-retardant treatment increased the swelling strains and Z-displacements on unvarnished and varnished surface panels. This treatment also caused a significant differentiation of Z-displacements on swirl zones compared to bud trace zones in varnished panels. Thus, the degree of surface deformation depended on the burl wood structure and the fire-retardant treatment. The 3D-DIC method was suitable for evaluating local swelling strains and Z-displacements on unvarnished and varnished wood veneer surfaces.



The authors gratefully acknowledge Jean Ouellet and Luc Germain for valuable assistance. This research was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Mitacs accelerate program, Bombardier Aerospace, 3M Canada Company, and the Consortium for Research and Innovation in Aerospace in Québec (CRIAQ).


  1. Aydin I, Colakoglu G, Hiziroglu S (2006) Surface characteristics of spruce veneers and shear strength of plywood as a function of log temperature in peeling process. Int J Solids Struct 43:6140–6147CrossRefGoogle Scholar
  2. Ayrilmis N (2007) Effect of fire retardants on internal bond strength and bond durability of structural fiberboard. Build Environ 42(3):1200–1206CrossRefGoogle Scholar
  3. Ayrilmis N, Korkut S, Tanritanir E, Winandy J, Hiziroglu S (2006) Effect of various fire retardants on surface roughness of plywood. Build Environ 41:887–892CrossRefGoogle Scholar
  4. Ayrilmis N, Candan Z, White RH (2007) Physical, mechanical, and fire properties of oriented strand board with fire retardant treated veneers. Holz Roh Werkst 65:449–558CrossRefGoogle Scholar
  5. Ayrilmis N, Dundar T, Candan Z, Akbulut T (2009) Wettability of fire retardant treated laminated veneer lumber (LVL) manufactured from veneers dried at different temperatures. BioResources 4:154–1535Google Scholar
  6. Booth CF (2008) Aircraft veneer catalog. Accessed 16 January 2017
  7. Buchelt B, Wagenfuhr A (2007) Untersuchungen zur Anisotropie der mechanischen Eigenschaften von Nussbaummaserfurnier (Juglans nigra L.). (Investigations of the anisotropy of the mechanical properties of walnut burl veneer). Holz Roh Werkst 65:407–409CrossRefGoogle Scholar
  8. Candan Z, Ayrilmis N, Akbulut T (2011) Dimensional stability of OSB. BioResources 6:308–316Google Scholar
  9. Choi D, Thorpe JL, Hanna RB (1991) Image analysis to measure strain in wood and paper. Wood Sci Technol 25:251–262CrossRefGoogle Scholar
  10. Cintron R, Saouma V (2008) Strain measurements with the digital image correlation system Vic-2D. Department of Civil Environmental and Architectural Engineering, University of Colorado, DenverGoogle Scholar
  11. Dundar T, As N, Korkut S, Unsal O (2008a) The effect of boiling time on the surface roughness of rotary-cut veneers from oriental beech (Fagus orientalis L.). J Mater Process Technol 199:119–123CrossRefGoogle Scholar
  12. Dundar T, Ayrilmis N, Candan Z (2008b) Evaluation of surface roughness of laminated veneer lumber (LVL) made from beech veneers treated with various fire retardants and dried at different temperatures. For Prod J 58:71–76Google Scholar
  13. Dünisch O (2012) Influence of the wood structure on water uptake and swelling and its significance for surface finishing of high quality furniture. In: International union of forest research organizations conference, division 5 forest products, July 8–13, Estoril, PortugalGoogle Scholar
  14. Dünisch O (2013) Relationship between the anatomical structure and the swelling of conditioned wood surfaces. IAWA J 34:197–208CrossRefGoogle Scholar
  15. El Mouridi M, Laurent T, Famiri A, Kabouchi B, Alméras T, Calchéra G, El Abid A, Ziani M, Gril J, Hakam A (2011) Physical characterization of the root burl wood of thuja (Tetraclinis articulata (Vahl) M.). Phys Chem News 59:57–64Google Scholar
  16. Govorčin S, Sinković T, Sedlar T, Šefc B, Ištok I (2012) Properties of trunk and briarwood of tree heath (Erica arborea L.) from island Rab. In: 5th conference on hardwood research and utilisation in Europe, May 17–18, Sopron, HungaryGoogle Scholar
  17. Han Y, Park Y, Park JH, Yang SY, Eom CD, YeoHan H (2016) The shrinkage properties of red pine wood assessed by image analysis and near-infrared spectroscopy. Dry Technol 34:1613–1620CrossRefGoogle Scholar
  18. James S (1984) Lignotubers and burls: their structure, function and ecological significance in mediterranean ecosystems. Bot Rev 50:225–266CrossRefGoogle Scholar
  19. Jeong GY, Zink-Sharp PA, Hindman DP (2010) Applying digital image correlation to wood strands: influence of loading rate and specimen thickness. Holzforschung 64:729–734CrossRefGoogle Scholar
  20. Kang HY, Muszynski L, Milota R (2011) Optical measurement of deformations in drying lumber. Dry Technol 29:127–134CrossRefGoogle Scholar
  21. Kang HY, Kang SG, Kang CW, Matsumura J (2013) Measurement of strain distributions in white oak boards during drying using a digital image correlation method. J Fac Agric Kyushu Univ 58:55–59Google Scholar
  22. Keunecke D, Hering S, Niemz P (2008) Three-dimensional elastic behaviour of common yew and Norway spruce. Wood Sci Technol 42(8):633–647CrossRefGoogle Scholar
  23. Konieczny J, Meyer G (2012) Computer rendering and visual detection of orange peel. J Coat Technol Res 9:297–307CrossRefGoogle Scholar
  24. Lanvermann C, Wittel FK, Niemz P (2014) Full-field moisture induced deformation in Norway spruce: intra-ring variation of transverse swelling. Eur J Wood Prod 72:43–52CrossRefGoogle Scholar
  25. Laufenberg T, Ayrilmis N, White R (2006) Fire and bending properties of blockboard with fire retardant treated veneers. Holz Roh Werkst 64(2):137–143CrossRefGoogle Scholar
  26. Li L, Gong M, Yuan NX, Li DG (2013) Measurement of the elastic parameters of densified balsam fir wood in the radial-tangential plane using a digital image correlation. J Mater Sci 48:7728–7735CrossRefGoogle Scholar
  27. Liu Y, Jehanathan N, Yang H, Laeng JJ (2007) SEM observation of the orange peel effect of materials. Mater Lett 61:143–1433Google Scholar
  28. Lu H, Cary PD (2000) Deformation measurement by digital image correlation: implementation of a second-order displacement gradient. Exp Mech 40:393–400CrossRefGoogle Scholar
  29. Murata K, Masuda M (2006) Microscopic observation of transverse swelling of latewood tracheid: effect of macroscopic/mesoscopic structure. J Wood Sci 52:283–289CrossRefGoogle Scholar
  30. Pan P, Qian K, Xie H, Asundi A (2009) Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol IOPscience 20:1–17Google Scholar
  31. Pan P, Wu D, Yu L (2012) Optimization of a three-dimensional digital image correlation system for deformation measurements in extreme environments. Appl Opt 51:4409–4419CrossRefGoogle Scholar
  32. Peng M, Chui YH, Ho CH, Wang WC, Zhou Y (2011) Investigation of shrinkage in softwood using digital image correlation method. Appl Mech Mater 83:157–161CrossRefGoogle Scholar
  33. Peng M, Ho CH, Wang WC, Chui YH, Gong M (2012) Measurement of wood shrinkage in jack pine using three-dimensional digital image correlation. Holzforschung 66:639–643Google Scholar
  34. Peng M, Kershaw JA Jr, Chui YH, Gong M (2013) Modelling of tangential, radial, and longitudinal shrinkage after drying in jack pine and white spruce. Can J For Res 43:742–749CrossRefGoogle Scholar
  35. Rosero-Alvarado J, Hernández RE, Riedl B (2017a) Effects of fire-retardant treatment and burl wood structure on three-dimensional changes of sandwich panels made from walnut decorative veneer. BioResources 12(3):6471–6498CrossRefGoogle Scholar
  36. Rosero-Alvarado J, Hernández RE, Riedl B (2017b) Effects of fire-retardant treatment and wood grain on three-dimensional changes of sandwich panels made from bubinga decorative veneer. Wood Mater Sci Eng. CrossRefGoogle Scholar
  37. Saran PL, Kumar R, Gupta S (2011) Morphology and anatomy of the burl disorder of mango (Mangifera indica L.) in India. J Hortic Sci Biotechnol 86:443–445CrossRefGoogle Scholar
  38. SAS Institute Inc. (2013) Procedure guide, 2nd edn (SAS/AF® 13.2) SAS Institute, Cary, NCGoogle Scholar
  39. Schreier HW, Sutton MA (2002) Systematic errors in digital image correlation due to undermatched subset shape functions. Exp Mech 42:303–310CrossRefGoogle Scholar
  40. Singh AP, Dawson BSW (2003) The mechanism of failure of clear coated wooden boards as revealed by microscopy. IAWA J 24:1–11CrossRefGoogle Scholar
  41. Sutton MA, Wolters WJ, Peters WH, Ranson WF, McNeill SR (2009) Determination of displacements using and improved digital correlation method. Image Vis Comput 1:133–139CrossRefGoogle Scholar
  42. Tang Z, Liang J, Xiao Z, Guo C, Hu H (2010) Three-dimensional digital image correlation system for deformation measurement in experimental mechanics. Opt Eng 49(10):11–17CrossRefGoogle Scholar
  43. Tanritanir E, Hiziroglu S, As N (2006) Effect of steaming time on surface roughness of beech veneer. Build Environ 41:1494–1497CrossRefGoogle Scholar
  44. Tong W (2005) An evaluation of digital image correlation criteria for strain mapping applications. Strain 41(4):167–175CrossRefGoogle Scholar
  45. Tsoumis G, Kezos N, Fanariotou I, Voulgaridis E, Passialis C (1988) Characteristics of briarwood. Holzforschung 42:71–77CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Jedi Rosero-Alvarado
    • 1
  • Roger E. Hernández
    • 1
    Email author
  • Bernard Riedl
    • 1
  1. 1.Département des sciences du bois et de la forêt, Centre de recherche sur les matériaux renouvelables (CRMR)Université Laval, Pavillon Gene-H KrugerQuebecCanada

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