The Impact of Post-Manufacture Treatments on the Surface Characteristics Important for Finishing of OSB and Particleboard

Copak, Antonio; Jirouš-Rajković, Vlatka; Španić, Nikola; Miklečić, Josip

doi:10.3390/f12080975

Cited by 7 publications

(4 citation statements)

References 44 publications

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“…For water absorption (WA, Figure 5d), the T2 treatment obtained the highest average (18.5%) and T6 (12.4%) the lowest. These values are compatible with those achieved in the research of Copak et al [49], which used an IR heater until the surface of commercial OSB samples reached 50 °C and obtained water absorption results below 20%.…”

Section: Physical Evaluationssupporting

confidence: 92%

Study of the Influence of Heat Treatment on OSB Panels Produced with Eucalyptus Wood in Different Layer Compositions

Sugahara

Dias

Arroyo

et al. 2022

Forests

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In view of the lack of studies aimed at producing and assessing the effects of heat treatment of Oriented Strand Board (OSB) panels, this paper evaluated the thermal degradation kinetics of the raw materials, and the physical and mechanical properties of the panels made with eucalyptus wood and castor oil-based polyurethane adhesive. The OSB panels were subjected to post-production heat treatment (at 175 and 200 °C), replacing the use of wood chemical preservatives. Furthermore, the quantity of materials varied in the face:core:face layers in the proportions of 25:50:25 and 30:40:30, aiming to evaluate the possibility of structural applications for the panels. The results were statistically analyzed and compared with the specifications and classifications for OSB indicated by the European Standard EN 300 and the literature. The application of heat treatment improved the physical properties by decreasing the interaction with water and did not reduce the mechanical properties below the recommended levels. The variation in layer proportions indicated that all of them can be adopted without compromising the panel’s physical-mechanical performance. All treatments are compatible with the EN 300 classification for OSB/4 (heavy duty load-bearing boards for use in humid conditions), presenting technical feasibility and excellent structural profile for civil construction applications.

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Section: Physical Evaluationssupporting

confidence: 92%

Study of the Influence of Heat Treatment on OSB Panels Produced with Eucalyptus Wood in Different Layer Compositions

Sugahara

Dias

Arroyo

et al. 2022

Forests

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“…Softwoods, particularly pine and spruce, are the predominant raw materials employed in nearly all OSB production lines across Europe, and currently no OSB panels are made from 100% hardwood species [3]. However, manufacturers can also use hardwood species or a mixture of hardwood and softwood in OSB production [4]. A study evaluated the influence of fine content and panel density on the properties of mixed hardwood oriented strand board [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Oriented Strand Board Properties Produced Using Tropical Wood Mixtures

Aguiar,

Júnior,

Jankowsky

et al. 2023

Forests

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The objective of this study was to evaluate the composition of OSB panels created using the Amazonian species Caryocar villosum Aubl., Erisma uncinatum Warm., and Hymenolobium excelsum Ducke. The OSB was produced using a phenol–formaldehyde adhesive at a ratio of 30:40:30 for each layer. Different mixtures of Amazonian wood and Pinus caribaea var. caribaea. were tested. Physical (water absorption and thickness swelling after 2 and 24 h of immersion in water and non-return rate in thickness) and mechanical (internal bond and parallel and perpendicular static bending) tests were performed. The OSB panels composed of wood mixtures absorbed less water after 2 and 24 h of immersion when compared to the OSB produced using pine wood. After 24 h of immersion in water, the T3 panel (40% Pinus caribaea + 40% Hymenolobium excelsum + 20% Caryocar villosum) presented the lowest absorption value. In terms of swelling in thickness at 2 h and 24 h, the panel composed of 100% pine strands showed the highest swelling value, while the T3 treatment exhibited the lowest swelling value at 2 and 24 h, as well as for the rate of non-return in thickness. Regarding mechanical properties, we observed that all panels exhibited similar resistance for both parallel and perpendicular Modulus of Rupture, as well as parallel and perpendicular Modulus of Elasticity, except for the internal bond, where T3 demonstrated the highest resistance. Additionally, some OSB panels met the requirements of the EN 300 standard for OSB panels.

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“…As an important forestry product, particleboard can greatly save forest resources, reduce deforestation and promote lowcarbon development by reusing wood processing residues. Because the particleboard has the advantages of low price, easy processing, good sound insulation and thermal insulation [3,4], it is used in a variety of applications including furniture manufacture and construction [5]. According to IMARC Group [6], the global particleboard market size reached 22.2 Billion dollars in 2022, and is expected to achieve a compound annual growth rate of 3.7% in the next six years.…”

Section: Introductionmentioning

confidence: 99%

Super-resolution Reconstruction of Particleboard Images Based on Improved SRGAN

Yu,

Zhou,

Liu

et al. 2023

Preprint

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As a high-quality forestry product with excellent performance, particleboard is widely used in many fields and has great market potential. At present, it is a research difficulty to accurately identify small, fine and different shapes of defects on the whole particleboard through machine vision technology. The application of image super-resolution reconstruction technology on particleboard can improve the surface image quality of particleboard, which is conducive to the subsequent improvement of defect detection accuracy. In this study, super-resolution dense attention generative adversarial network (SRDAGAN) model was improved to solve the problem that super-resolution generative adversarial network (SRGAN) reconstructed image would produce artifacts and its performance needed to be improved. The Batch Normalization (BN) layer was removed, the convolutional block attention module (CBAM) was optimized to construct dense block, and the dense blocks were constructed by densely skip connection. Then, the corresponding 52400 image blocks with high resolution and low resolution were trained, verified and tested according to the ratio of 3:1:1. The model was comprehensively evaluated from the effect of image reconstruction and the two indexes of PSNR and SSIM. It was found that compared with BICUBIC and SRGAN, PSNR index of SRDAGAN increased by 4.88dB and 3.25dB respectively, and SSIM increased by 0.0507 and 0.1122 respectively. The reconstructed images not only had clearer texture, but also had more realistic expression of various features, and the performance of the model had been greatly improved. At the same time, this study also emphatically discussed on the image reconstruction effect with defects. The result showed that the SRDAGAN proposed in this study can complete the super-resolution reconstruction of particleboard images with high quality. In the future, it can also be further combined with defect detection for actual production to improve the quality of forestry products and increase economic benefits.

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The Impact of Post-Manufacture Treatments on the Surface Characteristics Important for Finishing of OSB and Particleboard

Cited by 7 publications

References 44 publications

Study of the Influence of Heat Treatment on OSB Panels Produced with Eucalyptus Wood in Different Layer Compositions

Study of the Influence of Heat Treatment on OSB Panels Produced with Eucalyptus Wood in Different Layer Compositions

Evaluation of the Oriented Strand Board Properties Produced Using Tropical Wood Mixtures

Super-resolution Reconstruction of Particleboard Images Based on Improved SRGAN

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