Effect of Segment Scale in a Pore Network of Porous Materials on Drying Periods

Shibata, Hiromichi; Hirohashi, Yumiko

doi:10.1080/07373937.2012.752742

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…End board sections were brushed with paint, immediately after cutting. A one cubic metre semi-automatic conventional kiln was used to dry the boards (Shibata and Hirohashi 2013; Taghiyari et al. 2014).…”

Section: Methodsmentioning

confidence: 99%

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On the fluid permeability of heat treated paulownia wood

Esmailpour

Taghiyari

Golchin

et al. 2019

International Wood Products Journal

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Fibre direction cylindrical specimens from the sapwood and heartwood areas of Paulownia wood were heat treated at 180, 190, and 200°C split in eight groups of ten specimens each. Air and water permeability were measured, thereafter. Results demonstrated that heat treatment had a positive effect on air permeability both in sapwood and heartwood specimens. That increase might be attributed to the development of cell wall micro-checks caused by thermal degradation and fracture of the vessel tyloses. Liquid permeability was significantly decreased as a result of heat treatment.

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Section: Methodsmentioning

confidence: 99%

“…End board sections were brushed with paint, immediately after cutting. A one cubic metre semiautomatic conventional kiln was used to dry the boards (Shibata and Hirohashi 2013;). The kiln stack was 60 mm wide; 20 × 20 mm 2 dried stickers from the same species were used between the board layers.…”

Section: Specimen Procurementmentioning

confidence: 99%

On the fluid permeability of heat treated paulownia wood

Esmailpour

Taghiyari

Golchin

et al. 2019

International Wood Products Journal

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“…Many methods and apparatuses have been used and invented to measure permeability in solid woods and wood-composite materials as porous materials [1,[26][27][28][29]. In the present study, longitudinal gas permeability was measured with an apparatus equipped with a 7-level electronic device; time measurement was carried out with millisecond precision [26,30,31].…”

Section: Gas Permeability Measurementmentioning

confidence: 99%

Paint Pull-Off Strength and Permeability in Nanosilver-Impregnated and Heat-Treated Beech Wood

2019

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The effects of impregnation with nanosilver suspension as well as heat treatment on pull-off adhesion strength and specific air permeability in beech specimens were studied here. The size range of silver nanoparticles was 30–80 nm. The cross-section of specimens was cold-sprayed with unpigmented sealer-clear, polyester, and lacquer paints. Heat treatment, as the most commonly used wood modification, was applied at three different temperatures of 145, 165, and 185 °C. Results showed that the highest and lowest pull-off strengths were found in the un-impregnated and unheated specimens painted with polyester (8.98 MPa) and the unpainted unheated nanosilver-impregnated specimens (3.10 MPa), respectively. Impregnation with nanosilver resulted in the rupture of perforation plates and pit openings, and eventually, permeability increased significantly. As for the pull-off adhesion strength, the increased permeability resulted in the adhesive being penetrated in to the pores in the wood substrate, and eventually, a significant decrease in the pull-off strengths occurred. No significant correlation was found between pull-off strength versus specific air permeability, although both properties depend on the porous structure. This was due to the fact that permeability depends on the continuous pore system, while pull-off strength is dependent on the surface pore system of the substrate.

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“…However, too many inputs, e.g., gravity, external pressure, capillarity, temperature gradient, water concentration, etc., used to build theoretical models has a deterioration in accuracy to solve the highly coupled equations. Mathematical method such as artificial neural networks (ANN) and support vector machines (SVM) have been used to build drying model due to their ability to capture the trend of moisture content [7] [8] [9] [10]. ANN model can provide accurate prediction results, however over-training problem must to be taken care of to develop the prediction model.…”

Section: Introductionmentioning

confidence: 99%

System Identification of Wood Drying Process Based on ARMAX Model

Zhou¹,

Zhang²,

Bao-fu³

et al. 2019

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This article presents system identification of wood drying process based on ARMAX model. Temperature and equivalent moisture content are considered as inputs, and moisture content of the wood sample during drying is taken as output of the system. The comparative study of RLS and FF-RLS to identify the system parameters is presented. Simulation results are presented to validate the efficacy of the ARMAX model for wood drying process.

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Effect of Segment Scale in a Pore Network of Porous Materials on Drying Periods

Cited by 6 publications

References 17 publications

On the fluid permeability of heat treated paulownia wood

On the fluid permeability of heat treated paulownia wood

Paint Pull-Off Strength and Permeability in Nanosilver-Impregnated and Heat-Treated Beech Wood

System Identification of Wood Drying Process Based on ARMAX Model

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