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Wood Science and Technology
Published in: Wood Science and Technology 6/2018

24-08-2018 | Original

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

Authors: Jedi Rosero-Alvarado, Roger E. Hernández, Bernard Riedl

Published in: Wood Science and Technology | Issue 6/2018

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Abstract

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.
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Metadata
Title
Surface deformation of walnut burl veneer on aircraft sandwich panels assessed by three-dimensional digital image correlation
Authors
Jedi Rosero-Alvarado
Roger E. Hernández
Bernard Riedl
Publication date
24-08-2018
Publisher
Springer Berlin Heidelberg
Published in
Wood Science and Technology / Issue 6/2018
Print ISSN: 0043-7719
Electronic ISSN: 1432-5225
DOI
https://doi.org/10.1007/s00226-018-1040-z

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