Thermal properties of wood-based panels: thermal conductivity identification with inverse modeling

Ensuring reliability of data on thermal properties of wood-based panels is important for manufacturing processes, especially when it is recommended to shorten the cooling phase and stack the panels in hot conditions. Prediction of the heat transfer during cooling phase and normal or hot stacking based on accurate data is essentially important for attaining panels of required properties. The thermal properties are also required when designing houses, especially low-energy or passive ones. Therefore, a water calorimeter was adequately designed and constructed to ensure improvement in the accuracy of the specific heat measurements. The calorimeter was used to determine the specific heat. The attained accuracy estimated by the relative error was significantly increased, and the error values were less than 2 % for all types of the investigated particleboard and OSB. In case of low-density fiberboard (LDF), the maximum value of the relative error did not exceed 4 %. It was also shown that high accuracy required for the specific heat measurements was achieved for experiments in which high-mass samples were used, in contrast to measurements for such samples in traditional DSC systems. The results for the specific heat were within the range from 1420 to 1450 J/kg K for LDF and all types of particleboard. The effect of the investigated material density on the specific heat was not found. The only exception was in case of OSB for which the specific heat was ca. 1550 J/kg K, and it was approximately 100 J/kg K higher when compared to other panels.

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“…However, it can be performed when determining thermal conductivity of the investigated panels (Czajkowski et al 2016). …”

Section: Resultsmentioning

confidence: 99%

Thermal properties of wood-based panels: specific heat determination

et al. 2016

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“…The global relative error values for predicting the temperature were in the range from 0.5 to 0.9%. For predictions based on data found in the literature the error ranged from 11.5 to 25.0% (Czajkowski et al, 2016).…”

Section: Resultsmentioning

confidence: 96%

“…The following properties were selected for the process of identification: 3D nodal coordinates of the finite element mesh of a product, thermal conductivity, coefficient of water diffusion and convective water transfer coefficient in the boundary layer. Material samples were prepared according to Czajkowski et al (2016), Olek et al (2005), and Siatkowski et al (2010b).…”

Section: Methodsmentioning

confidence: 99%

“…Experimental data were acquired for several empirical systems at different stands. To acquire data in the case of transient heat transfer an experimental setup was constructed according to the guidelines of Czajkowski et al (2016). The setup was equipped with thermocouples for temperature measurements in established locations inside a product, at its surface, and at the outer layer, and at specified time instants.…”

Section: Methodsmentioning

confidence: 99%

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Integration of experimental and computational methods for identifying geometric, thermal and diffusive properties of biomaterials

Weres¹,

Kujawa²,

Olek³

et al. 2016

International Agrophysics

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A b s t r a c t. Knowledge of physical properties of biomaterials is important in understanding and designing agri-food and wood processing industries. In the study presented in this paper computational methods were developed and combined with experiments to enhance identification of agri-food and forest product properties, and to predict heat and water transport in such products. They were based on the finite element model of heat and water transport and supplemented with experimental data. Algorithms were proposed for image processing, geometry meshing, and inverse/direct finite element modelling. The resulting software system was composed of integrated subsystems for 3D geometry data acquisition and mesh generation, for 3D geometry modelling and visualization, and for inverse/direct problem computations for the heat and water transport processes. Auxiliary packages were developed to assess performance, accuracy and unification of data access. The software was validated by identifying selected properties and using the estimated values to predict the examined processes, and then comparing predictions to experimental data. The geometry, thermal conductivity, specific heat, coefficient of water diffusion, equilibrium water content and convective heat and water transfer coefficients in the boundary layer were analysed. The estimated values, used as an input for simulation of the examined processes, enabled reduction in the uncertainty associated with predictions.

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“…Czajkowski et al [22] developed a finite element inverse analysis procedure. When investigating wood-based panels, in-plane thermal conductivity was significantly higher in comparison to the transverse one.…”

Section: Introductionmentioning

confidence: 99%

Applying the EDPS Method to the Research into Thermophysical Properties of Solid Wood of Coniferous Trees

Krišťák

Igaz

Ružiak

2019

Advances in Materials Science and Engineering

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e results of using the EDPS (extended dynamic plane source) method to determine thermophysical properties of solid wood of coniferous trees growing in Slovakia with 0% and 12% equilibrium moisture content are presented in the paper. Solid wood of two different tree species: Norway spruce (Picea abies L.) and Scots pine (Pinus sylvestris L.) was used in the research. e research was carried out independently in three anatomical planes. Coefficients of thermal conductivity, thermal diffusivity, and specific heat capacity were determined following the research. Comparing the research results to the values determined by other authors and already published models to calculate individual parameters, the fact that the data gathered using the EDPS method can be accepted in case of all studied thermophysical properties can be stated.

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Thermal properties of wood-based panels: thermal conductivity identification with inverse modeling

Cited by 22 publications

References 24 publications

Thermal properties of wood-based panels: specific heat determination

Thermal properties of wood-based panels: specific heat determination

Integration of experimental and computational methods for identifying geometric, thermal and diffusive properties of biomaterials

Applying the EDPS Method to the Research into Thermophysical Properties of Solid Wood of Coniferous Trees

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