A colour assessment methodology for oak wood

Defoirdt, Nele; Wuijtens, Inge; Boever, Lieven De; Coppens, Hugo; Bulcke, Jan Van den; Acker, Joris Van

doi:10.1007/s13595-012-0214-3

Cited by 7 publications

(4 citation statements)

References 15 publications

(13 reference statements)

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“…Consumers have mistaken E. grandis as mahogany from its rose-red colour (Gonçalez et al 2006). Colour classification of species and natural variability of the tree are important for manufacturers and consumers of parquet floors and furniture because they influence the aesthetic characteristics and final value of the product (Defoirdt et al 2012, Csordós et al 2014.…”

Section: Use Of Visible and Near-infrared Spectroscopy F O R D I S C mentioning

confidence: 99%

Use of Visible and Near-Infrared Spectroscopy for Discrimination of Eucalypt Species by Examination of Solid Samples

Nisgoski¹,

Muniz²,

Gonçalves³

et al. 2017

JTFS

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Eucalypt species have high importance in the forestry sector in Brazil. The wood has wide range of uses, including pulp, charcoal, plywood panels and treated boards. However, eucalypt species are hard to identify in lumber, which can cause problems in industrial use. So, the aim of this study was to combine visible and near-infrared spectroscopy to discriminate wood samples of two Corymbia spp. and five Eucalyptus spp. Visible spectroscopy was performed according to the CIELab standard. The data were analysed using descriptive statistics and regression analysis. Near-infrared analyses were based on ASTM E1655-05. The data were analysed with the Unscrambler X chemometric program, in the raw form and after pre-processing with second derivative of Savitzky-Golay. Visible and near-infrared spectroscopy can be successfully applied to separate Eucalyptus and Corymbia species. In the visible spectroscopic analyses, it was possible to separate the wood samples into two colour groups, i.e. red/rose and grey/yellow/brown. In the near-infrared spectra it was possible to discriminate samples, and three groups associated with density of the species were formed. Both techniques were appropriate to distinguish species and their industrial use might solve practical problems.

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Section: Use Of Visible and Near-infrared Spectroscopy F O R D I S C mentioning

confidence: 99%

Use of Visible and Near-Infrared Spectroscopy for Discrimination of Eucalypt Species by Examination of Solid Samples

Nisgoski¹,

Muniz²,

Gonçalves³

et al. 2017

JTFS

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“…Thus, M e i nt s et al (2017) quantified wood colour for 24 Central European species. Quantification of wood colour change (e.g., after drying (A g u i l a r-To va r et al 2009) or some treatment) is usually done using parameter ΔE (CIE 1976-ISO 11664: 2008, but some papers indicate that this parameter needs correction when it comes to wood (e.g., D efo i rd t et al. 2011;Hauptmann et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Drying of oak wood lamellas: Part 2. Influence of temperature on the drying quality and wood colour

et al. 2022

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The subject of this paper is the analysis of the influence of higher initial temperatures during the drying of oak lamellas on the final quality and wood colour. Two different drying schedules (initial temperature: 45?C and 50?C; final temperature: 55?C) were used and then the drying quality and wood colour were determined. The colour change was expressed by parameter ?E but also by the corrected parameter ?E00. It was shown that the drying quality was very high in both cases, and that the colour change that occurred during drying was invisible to the naked eye. The application of higher temperatures does not pose a risk to the drying quality due to the small thickness of the wood and the short drying process. In industry, a higher initial temperature is justified in situations where sufficient quantities of (cheap) thermal energy are available. The results confirmed that the percentage of lamellas? deformation was reduced when the load was applied while drying.

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“…There are many examples in measuring the color of wood with instruments for tree type, heartwood/sapwood, early wood/late wood, and knots [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. However, in most of these measurement examples, it is unclear which side of the three cross-sections-end grain, edge grain, or flat grain-was measured.…”

Section: Introductionmentioning

confidence: 99%

Color measurements according to three sections of wood

Hirata

Hayashi²,

Ohta

2020

J Wood Sci

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The purpose of this study was to measure each color of three sections of wood with instruments, and to examine whether there were differences between each color of three sections. The total number of tree species measured was 60, with the same number of conifers and broadleaf trees. A test piece, which was a cube with one side of 34 mm, was prepared for each tree species. End grain, edge grain, bark side and pith side of each test piece were flattened by a hand planer. Then, lightness L* and hue/saturation (a*, b*) in the L*a*b* color space were measured with a spectrophotometer. The results showed that the end grain had a lower L* compared to the other planes. The end grain was reddish and yellowish because it had a large a* and small b*. When chroma C* and hue angle h in the L*C*h color space were calculated from a* and b*, the end grain had a small dullness with less vividness because C* was smaller than the other planes. L*, a*, b*, C* and h on the other planes excluding the end grain were almost equal for each plane. Furthermore, it was found that the plane whose lightness L* had the strongest correlation with the density of the test piece was the end grain. Therefore, the correlation diagrams between the density, average of annual ring width, and L*of the end grain of each test piece were shown.

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A colour assessment methodology for oak wood

Cited by 7 publications

References 15 publications

Use of Visible and Near-Infrared Spectroscopy for Discrimination of Eucalypt Species by Examination of Solid Samples

Use of Visible and Near-Infrared Spectroscopy for Discrimination of Eucalypt Species by Examination of Solid Samples

Drying of oak wood lamellas: Part 2. Influence of temperature on the drying quality and wood colour

Color measurements according to three sections of wood

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