Modelling Radiative Heat Transfer in Fibrous Materials: The Use of Planck Mean Properties Compared to Spectral and Flux-Weighted Properties

Andersen, Frits Møller; Dyrbøl, Susanne

doi:10.1016/s0022-4073(97)00229-x

Cited by 6 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lee [7] investigated the effect of fibre orientation on the intra-fibre radiative heat transfer, observing that the radiative fluxes are highest when the fibres are perpendicular to the boundary. Andersen and Dyrboel [8] predicted the radiative fluxes using Planck mean properties and compared them to the one obtained using spectral and flux-weighted properties. They showed that the Planck mean property-based predictions are accurate for wavelengths higher than 10 lm and highly porous stone wools.…”

Section: Introductionmentioning

confidence: 99%

Multiphysics Modelling of Stone Wool Fire Resistance

et al. 2020

View full text Add to dashboard Cite

In fire resistance tests, stone wool’s organic matter undergoes exothermic oxidative reactions sustained by external heat, causing mass transfer in the structure. The previous modelling attempts, lacking the mass transfer physics, fall short in predicting the temperature of high density and high organic content samples. To fill this gap in the fire engineering modelling capability, we include mass transfer in our calculation, and validate the model using experimental fire resistance data. As an alternative, we use a heat conduction -based model lacking the gas transfer but with reaction kinetics coupled to the stone wool’s organic mass %. The results show that the thermal effects of the oxidative degradation can be predicted by introducing the simplified diffusion processes. The oxygen transfer and exothermic reactions depend upon the amount of organic content, and the uncertainty of temperature predictions is $$\pm \,20\%$$ ± 20 % . In average, temperatures and critical times are more accurately predicted by the heat conduction model, while, the peak temperature prediction uncertainty is low ($$\pm \,10\%$$ ± 10 % ) with the multiphysics model. The uncertainty compensation method reduces the difference between the two model predictions. Nevertheless, further validation study is needed to generalize the uncertainty compensation metrics. Finally, we demonstrate how a gas flow barrier on the cold side (sandwich) can effectively reduce the peak temperature of the high organic content-stone wools.

show abstract

Section: Introductionmentioning

confidence: 99%

Multiphysics Modelling of Stone Wool Fire Resistance

et al. 2020

View full text Add to dashboard Cite

show abstract

“…On the other hand, in the literature, one can find the first of all works oriented on the study of thermal conductivity of mineral wool, including its variability under the influence of temperature change [2], dampness [3,4] and taking into account the influence of radiation [5,6] or air convection [7]. Less often one can find works devoted also to detailed investigations of hygric features (sorption isotherms, parameters determining moisture diffusivity and liquid water transport) [1,4].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of changes in thermodiffusion properties of mineral wool resulting from treatment with water and re-drying

2018

View full text Add to dashboard Cite

The work presents the formulation of inverse problem that allows to estimate the basic parameters describing coupled thermodiffusion of moisture in porous fibrous material and construction of the measuring stand in order to obtain the necessary data to carry out calculations for this purpose. This approach was used to evaluate the changes in the thermodiffusion properties of stone wool samples for the indoor applications that were treated with water and re-dried. In the mathematical model, one introduced a simplification that coupling in the thermodiffusion process is unilateral and includes only the influence of heat transport on moisture transport.

show abstract

Backscatter factor and absorption ratio of fibrous zirconia media in the visible

Njomo

Kamdem

2003

Heat and Mass Transfer

View full text Add to dashboard Cite

Modelling Radiative Heat Transfer in Fibrous Materials: The Use of Planck Mean Properties Compared to Spectral and Flux-Weighted Properties

Cited by 6 publications

References 0 publications

Multiphysics Modelling of Stone Wool Fire Resistance

Multiphysics Modelling of Stone Wool Fire Resistance

Evaluation of changes in thermodiffusion properties of mineral wool resulting from treatment with water and re-drying

Backscatter factor and absorption ratio of fibrous zirconia media in the visible

Contact Info

Product

Resources

About