A flame spread simulation based on a comprehensive solid pyrolysis model coupled with a detailed empirical flame structure representation

Leventon, Isaac T.; Li, Jing; Stoliarov, Stanislav I.

doi:10.1016/j.combustflame.2015.07.025

Cited by 58 publications

(21 citation statements)

References 31 publications

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“…The numerical results with different hypotheses were then compared with published experimental results. [1,19]. Those experiments were recently studied to understand the gasification of polymeric materials.…”

Section: Introductionmentioning

confidence: 98%

“…Simulation of physical phenomena of solid material burning such as flame spread and ignition is of great importance in predicting the fire propagation process [1]. The models, including numerical and analytical methods, involve fluid dynamics and chemical kinetics in gas, solid pyrolysis and heat 3 and mass transfer on the interface between condensed and gas phases.…”

Section: Introductionmentioning

confidence: 99%

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A numerical study of thermal degradation of polymers: Surface and in-depth absorption

Gong

Chen

Jiang

et al. 2016

Applied Thermal Engineering

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

A numerical study of thermal degradation of polymers: Surface and in-depth absorption

Gong

Chen

Jiang

et al. 2016

Applied Thermal Engineering

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“…33, the extended EDC model is used in the red region while the blue region is simulated as the laminar non-premixed flame using Eqs. (11) and (12). Predictions have also been conducted using…”

Section: Large Scale Flame Spread Scenariosmentioning

confidence: 96%

“…They found that the surface regression length due to the high incident heat flux and wall temperature was almost compensated by the re-radiation and gasification heat under the flaming condition. Leventon et al [11] developed a PMMA pyrolysis model based on their previous measurements. Their predictions of the vertical burning and flame spread on a small PMMA sample achieved reasonably good agreement with the measurements.…”

mentioning

confidence: 99%

Large eddy simulation of upward flame spread on PMMA walls with a fully coupled fluid–solid approach

Fukumoto

Wang

Wen

2018

Combustion and Flame

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2018) Large eddy simulation of upward flame spread on PMMA walls with a fully coupled fluid-solid approach. Combustion and Flame, 190 . pp. 365-387. Permanent WRAP URL: Abstract A fully coupled fluid-solid approach has been developed within FireFOAM 2.2.x, a Large Eddy Simulation (LES) based fire simulation solver within the OpenFOAM® toolbox. Due consideration 1 Corresponding author email: Jennifer.Wen@warwick.ac.uk phenomena such as investigating the effects of width, inclination angles and side walls on flame spread as well as the predictions of flame spread in practical applications. Keywords Upward flame spread, Fully coupled fluid-solid approach, Large eddy simulation, PMMA 1. The time averaged reaction rate for the mass fraction equation chemical species J J ω is expressed as ( ) J J J u J fu f ( ) ( ) J J J

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“…Based on the flame height correlation represented by Equation , a corner‐wall flame heat feedback expression was parameterized. The functional form of this expression was based on that recently proposed for laminar wall flames:

q ″_{f} = ({, \begin{matrix} q ″_{f, italicsteady} y_{b} \leq y_{f} \\ α_{f} q ″_{f, italicsteady} e^{- ln ((), α_{f}) {(y^{*})}^{2}} y_{b} > y_{f} \end{matrix})

y^{*} = \frac{y_{b} + y_{0}}{y_{f} + y_{0}}

where y b is the height above the base of the flame. This expression assumes that the flame heat feedback profile consists of 2 distinct regions: the region below flame height ( y b ≤ y f ), where flame heat flux is constant and equal to

q_{f, italicsteady}^{″}

(42 kW m −2 ), and the region above the flame height (fire plume region) where flame heat flux decreases with height, due to air entrainment and radiative losses.…”

Section: Flame Submodel Developmentmentioning

confidence: 99%

A methodology for predicting and comparing the full‐scale fire performance of similar materials based on small‐scale testing

et al. 2018

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Summary Reconstructive fire testing is an important tool used by fire investigators to determine the cause, origin, and progression of a particular fire. Accurate reconstruction of the fire requires the laboratory structure to be outfitted with materials that, in terms of contribution to fire growth, perform similarly to the original materials found at the fire scene. Therefore, a procedure was developed to enable fire investigators to select these replacement materials on the basis of a quantitative assessment of their relative fire performance. This procedure consists of gram‐scale and/or milligram‐scale standard testing accompanied by inverse numerical modeling of these tests, which is used to obtain relevant material properties. A numerical model composed of a detailed pyrolysis submodel and empirical flame heat feedback submodels, which were developed in this study, is subsequently employed to simulate the early stages of the Room Corner Test, which was selected to represent full‐scale material performance. The results of these simulations demonstrate that this procedure can successfully differentiate between fire growth propensities of several commercially available medium density fiberboards.

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A flame spread simulation based on a comprehensive solid pyrolysis model coupled with a detailed empirical flame structure representation

Cited by 58 publications

References 31 publications

A numerical study of thermal degradation of polymers: Surface and in-depth absorption

A numerical study of thermal degradation of polymers: Surface and in-depth absorption

Large eddy simulation of upward flame spread on PMMA walls with a fully coupled fluid–solid approach

A methodology for predicting and comparing the full‐scale fire performance of similar materials based on small‐scale testing

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