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Quantifying Radiation Transport Properties of Fuel Vapors for Fire Models

机译：量化防火模型燃料蒸汽的辐射运输性能

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Gas-phase infrared radiation absorption and emission impacts radiation heat transfer through fuel rich cores to fuel surfaces in large-scale fires. Models for the radiation transport through the fuel rich core is often compromised by the lack of temperature-dependent, spectrally-resolved measurements of absorptivity of fuel vapor species. While temperature-dependent absorptivity data in the mid-IR and near-IR has been codified into appropriate models for methane, similar absorptivity data over a range of temperatures for fuel species including ethane, ethylene, propane, propylene, n-heptane, toluene, methanol, and MMA has not previously been translated into appropriate statistical narrow band models to allow for radiation transport calculations in fire models. This paper presents the methodology and results of using previous FTIR experimental data for spectrally-resolved absorptivity measurements of fuel vapor species for temperatures up to 1000 K to develop narrow band models for the listed fuel vapor species. The Goody narrow-band model offers the best fits for the numerous IR bands over the range of fuel vapors and temperatures considered. The resulting narrow band parameters are implemented into the infrared radiation transport calculations to provide more accurate estimations of radiation feedback to fuel sources in non-premixed fires and combustion events.
机译：气相红外辐射吸收和排放会使辐射热量通过富含燃料的燃料传递到大型火灾中的燃料表面。通过燃料丰富的芯辐射运输的模型通常因缺乏温度依赖性，光谱分辨的燃料蒸汽物种吸收率的缺失测量而受损。虽然MID-IR和接近IR中的温度依赖性吸收性数据被编码为适当的甲烷模型，而在包括乙烷，乙烯，丙烷，丙烯，N-庚烷，甲苯，甲烷，甲烷的温度范围内的相似吸收性数据。以前甲醇和MMA尚未翻译成适当的统计窄带模型，以允许在火模型中进行辐射运输计算。本文介绍了使用先前的FTIR实验数据的方法和结果，用于燃料蒸汽物种的光谱分辨吸收率测量，高达1000 k的温度为所列燃料蒸汽物种开发窄带模型。丰盛的窄带模型为燃料蒸汽范围和温度所考虑的众多红外频段提供最佳拟合。所得到的窄带参数被实现为红外辐射传输计算，以提供更准确地估计对未预混的火灾和燃烧事件中的燃料源的辐射反馈。

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