Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Yang, Nian Xue; Ding, Qi

doi:10.4028/www.scientific.net/amm.55-57.1206

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…In recent years, with the continuous progress of science and technology, nondestructive testing technology has been developed by leaps and bounds (Yang and Qi 2011). Some widely used non-destructive testing methods include microwave detection, ultrasonic detection, optical detection, mechanical performance testing, nuclear magnetic resonance detection, and X-ray detection.…”

Section: Introductionmentioning

confidence: 99%

Computer Tomography of the Density and its Spatial Distribution of Wood-Plastic Composites

Han¹,

Ta²,

Qi³

2016

BioResources

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The density and its spatial distribution of wood-plastic composites (WPCs) were tested by the computer tomography (CT) method. Based on the correlation among the attenuation coefficient, density, and CT number, a mathematical model between CT number and density of WPCs was established. This contributed to the realization of fast and nondestructive detection of WPC density and to the determination of the quality of woodplastic composite products. Taking pine and poplar wood powder WPCs as subjects, the density was higher near the edge and lower in the middle of the sample, which resembled a "V" shape in the width direction. Compared with the density variations of poplar wood powder WPCs, those of pine wood powder had more of a "V" distribution.

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Section: Introductionmentioning

confidence: 99%

Computer Tomography of the Density and its Spatial Distribution of Wood-Plastic Composites

Han¹,

Ta²,

Qi³

2016

BioResources

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Flexural properties of blockboard reinforced with glass fiber and various types of fabrics

Ispas

Coşereanu

Zeleniuc

et al. 2019

BioRes

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Flexural properties were evaluated of blockboard with spruce (Picea abies Mill) core and faces made of 2.5-mm fromager (Ceiba pentandra) veneer and 3-mm high-density fiberboard (HDF). For these two types of structures, fiber glass, jute, gauze, and cotton fabrics, were separately bonded under the face layers to improve the strength performance. Flexural properties, modulus of rupture (MOR), and modulus of elasticity (MOE) were determined under laboratory conditions. Improved values were found for MOR and MOE tested in the parallel to core grain direction compared to those perpendicular-to-grain. They were 32% to 49% (MOR) and 39% to 95% (MOE) improvements in case of veneer faces and 142% to 161% (MOR) and 134% to 245% (MOE) improvements in case of HDF faces. The best results of MOR and MOE were obtained for glass fiber used as insertion material, the higher ones being reached for specimens tested in the parallel direction to grain, which were 56.1 N/mm2 (MOR) and 6704 N/mm2 (MOE) for HDF faces. Generally, the improvements were more evident on the blockboard structures with veneer faces oriented perpendicular-to-core grain (30% for MOR and 18% MOE) and for HDF faces with parallel core grain orientation (16% for MOR and 6% MOE).

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Defects Description in Blockboard by Hough Transform and Minimum-Perimeter Polygons

Guan¹,

Qi²

2012

IJACT

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The blockboard defects were detected by Hough transform and Minimum-Perimeter Polygons. Xray nondestructive testing system was used to obtain X-ray blockboard images. The rough binary images of blockboard were got from X-ray images. An initial area of the blockboard defect was simplified by Mathematical morphology, and then the edges of the area image were detected by Minimum-Perimeter Polygons (MPP). Large numbers of lines around the boundary were detected by Hough transform. The lines data were processed by the mathematics and computer graphics methods. The results show that the blockboard defects can be described by several certain lines on the screen. And then, the parameters of lines can be obtained by computers easily. Hence, to defects description, the method in this paper is much more convenient and faster than the traditional methods.

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Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Cited by 3 publications

References 4 publications

Computer Tomography of the Density and its Spatial Distribution of Wood-Plastic Composites

Computer Tomography of the Density and its Spatial Distribution of Wood-Plastic Composites

Flexural properties of blockboard reinforced with glass fiber and various types of fabrics

Defects Description in Blockboard by Hough Transform and Minimum-Perimeter Polygons

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