About: Probabilistic Numerical Analysis of Quasi-stationary Thermal Measurement of Medium Density Fiberboard     Goto   Sponge   NotDistinct   Permalink

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Description
  • Quasi-stationary thermal analysis of materials is based on time-recording of temperature in the middle of heated block of samples. The method enables determination of heat capacity, longitudinal and transverse thermal conductivity and heat transfer coefficient from a single measurement. All outputs are influenced by many variating factors as for example density, temperature and moisture, heat losses, heterogeneity of structure etc. Theoretical analysis based on verified numerical models streamlines description of variability of results in many of various input combinations. Probabilistic transient finite-element analyses of problem were performed. The Medium Density Fiberboard specimens with 4 different thicknesses were prepared and density profiles of samples were scanned, then thermal parameters were calculated and statistically evaluated. Numerical model of the experimental apparatus consists of two samples described by thermal solid elements. Orthotropic material properties based on experimentally derived data were assigned to the model. A high number of time steps enabled to calculate the temperature increase in the center point between samples and to compare the curve with experimental recording. The numerical and experimental data were in close agreement with each other. Verified model was used for thousands of variable solutions with randomization of each parameter. Factors which significantly affect results include sample properties, boundary conditions and parameters of apparatus.
  • Quasi-stationary thermal analysis of materials is based on time-recording of temperature in the middle of heated block of samples. The method enables determination of heat capacity, longitudinal and transverse thermal conductivity and heat transfer coefficient from a single measurement. All outputs are influenced by many variating factors as for example density, temperature and moisture, heat losses, heterogeneity of structure etc. Theoretical analysis based on verified numerical models streamlines description of variability of results in many of various input combinations. Probabilistic transient finite-element analyses of problem were performed. The Medium Density Fiberboard specimens with 4 different thicknesses were prepared and density profiles of samples were scanned, then thermal parameters were calculated and statistically evaluated. Numerical model of the experimental apparatus consists of two samples described by thermal solid elements. Orthotropic material properties based on experimentally derived data were assigned to the model. A high number of time steps enabled to calculate the temperature increase in the center point between samples and to compare the curve with experimental recording. The numerical and experimental data were in close agreement with each other. Verified model was used for thousands of variable solutions with randomization of each parameter. Factors which significantly affect results include sample properties, boundary conditions and parameters of apparatus. (en)
Title
  • Probabilistic Numerical Analysis of Quasi-stationary Thermal Measurement of Medium Density Fiberboard
  • Probabilistic Numerical Analysis of Quasi-stationary Thermal Measurement of Medium Density Fiberboard (en)
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  • Probabilistic Numerical Analysis of Quasi-stationary Thermal Measurement of Medium Density Fiberboard
  • Probabilistic Numerical Analysis of Quasi-stationary Thermal Measurement of Medium Density Fiberboard (en)
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  • RIV/62156489:43410/14:00231354!RIV15-MSM-43410___
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  • P(EE2.3.20.0269)
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  • 39680
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  • RIV/62156489:43410/14:00231354
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  • Finite-element method; Medium density fiberboard; Quasi-stationary thermal analysis (en)
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  • [C36E1EEBC76C]
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  • Zvolen, Slovakia
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  • Monona
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  • 57th SWST International convention. 7th Wood structure and properties conference. 6th European hardwood conference
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  • Sebera, Václav
  • Tippner, Jan
  • Trcala, Miroslav
  • Lagaňa, Rastislav
  • Halachan, Pavol
  • Hrčka, Richard
  • Troppová, Eva
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number of pages
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  • Society of Wood Science and Technology
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  • 978-0-9817876-4-0
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  • 43410
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