Density and Moisture Profile Evolution during Timber Drying by CT Scanning Measurements

Lazarescu, Ciprian; Watanabe, Ken; Avramidis, Stavros

doi:10.1080/07373931003613478

Cited by 27 publications

(11 citation statements)

References 16 publications

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“…Hass et al 2010;Brodersen et al 2011), moisture dynamics (a.o. Lazarescu et al 2010;Derome et al 2011), analysis on from wood derived materials (a.o. Faessel et al 2005;Walther 2006;Walther and Thoemen 2009), etc.…”

Section: Introductionmentioning

confidence: 99%

Potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification

Bulcke

Biziks

Andersons

et al. 2013

International Wood Products Journal

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Potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification. International Wood Products Journal, 4(3), pp. 183-190. The potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification ABSTRACTStudying structure and chemistry of wood and wood-based materials is the backbone of all wood research and many techniques are at hand to do so. A very valuable modality is X-ray CT, able to non-destructively probe the three-dimensional structure and composition. In this paper we elaborate on the use of Nanowood, a flexible multiresolution X-ray computed tomography (X-ray CT) setup developed at UGCT, the Ghent University Centre for X-ray Tomography. The technique has been used successfully in many different fields of wood science. It is illustrated how 3D structural and microdensitometrical data can be obtained using different scan set-ups and protocols. Its potential for the analysis of modified wood is exemplified, a.o. for the assessment of wood treated with hydrophobing agents, localisation of modification agents, pathway analysis related to functional tissues, dimensional changes due to thermal treatment, etc. Furthermore, monitoring of transient processes is a promising field of activity too.

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Section: Introductionmentioning

confidence: 99%

Potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification

Bulcke

Biziks

Andersons

et al. 2013

International Wood Products Journal

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“…As mentioned, there is a correlation between greyscale and density. Thanks to the use of such a correlation in the linear form as in [41,42], the spatial distributions of local density in the analysed samples (Figure 17) and the statistical distributions (histograms) of density in the VOI of the particular samples (Figure 18) were determined. The correlation coefficients were determined by comparing the mean density of a given sample with the average grey level in VOI, and the density of the air with the average grey level of area outside the sample (visible in the images obtained from X-ray micro-computed tomography).…”

Section: Resultsmentioning

confidence: 99%

“…Consequently, the correlation between the level of brightness of the pixels (voxels) and the density of the tested material can be determined. For example, in [41,42] the linear correlation between density and the brightness level of the resultant tomographic image was used to determine the density of wood.…”

Section: Selected Non-destructive Methods For Wood Assessmentmentioning

confidence: 99%

Assessment of the Condition of Wharf Timber Sheet Wall Material by Means of Selected Non-Destructive Methods

et al. 2019

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This paper presents an assessment of the condition of wood coming from a wharf timber sheet wall after 70 years of service in a (sea) water environment. Samples taken from the structure’s different zones, i.e., the zone impacted by waves and characterised by variable water-air conditions, the zone immersed in water and the zone embedded in the ground, were subjected to non-destructive or semi-destructive tests. Also, the basic parameters of the material, such as its density and moisture content, were determined. Moreover, the ultrasonic, stress wave and drilling resistance methods were used. Then, an X-ray microtomographic analysis was carried out. The results provided information about the structure of the material on the micro and macroscale, and the condition of the material was assessed on their basis. Also, correlations between the particular parameters were determined. Moreover, the methods themselves were evaluated with regard to their usefulness for the in situ testing of timber and to estimate, on this basis, the mechanical parameters needed for the static load analysis of the whole structure.

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“…Mapping moisture content locally remains difficult due to the deformation, or shrinkage, that results from drying. Several techniques have been proposed to increase accuracy (e.g., Lindgren 1992, Danvind and Synnergren 2001, Lazarescu et al 2010. Watanabe et al (2012) introduced a new method to characterize the moisture content distribution in cross sections during timber drying, using CT scanning and CT image processing.…”

Section: Moisture Content and Drying Shrinkagementioning

confidence: 99%

“…During this time, pieces of timber were removed from the kiln at the intervals of 0, 1, 2, 3, 4, 7, and 8 days and were CT-scanned (Table 1) in Vancouver, Canada. The CT scanner was equipped with a 3.5 MeV X-ray generation system, which is 22 times higher than medical CT scanners (Lazarescu et al 2010) and can therefore be called "industrial". Lumber pieces were CT-scanned at the oven-dried stage.…”

Section: Moisture Content and Drying Shrinkagementioning

confidence: 99%

Applications of computed tomography (CT) scanning technology in forest research: a timely update and review

Beaulieu

Dutilleul

2019

Can. J. For. Res.

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Organic materials of woody plants are complex and show internal, structural, and morphological variations due to genetic and environmental influences. Variability can be observed in stems, branches, leaves, and roots. Nondestructive and noninvasive technologies have been proposed to assess this variability. Computed tomography (CT) scanning, originally designed for medical diagnostics, permits the measurement of wood properties in situ (e.g., wood density, moisture content, internal defects, annual growth) and crown traits that characterize branching pattern geometry and canopy space occupancy for small-sized trees. Since Wei et al.’s (2011, Can. J. For. Res. 41(11): 2120–2140, doi: 10.1139/x11-111 ) review on the assessment of wood quality for optimized manufacturing processes using a CT scanner, several important developments have occurred, motivating the preparation of an update. We provide technical clarifications about the scales of observation and resolution; report on recent studies in which CT scanning was applied with research objectives beyond wood quality assessment for an optimized manufacturing of forest products; and stress the importance of analytical procedures for the graphical and quantitative analyses of CT scanning data (images and numbers) and the need for specialized algorithms and software. With this review, readers are expected to be well informed of the avenues offered by CT scanning technology in forest research in general.

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Density and Moisture Profile Evolution during Timber Drying by CT Scanning Measurements

Cited by 27 publications

References 16 publications

Potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification

Potential of X-ray computed tomography for 3D anatomical analysis and microdensitometrical assessment in wood research with focus on wood modification

Assessment of the Condition of Wharf Timber Sheet Wall Material by Means of Selected Non-Destructive Methods

Applications of computed tomography (CT) scanning technology in forest research: a timely update and review

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