Spectral Aspects of Bench-Scale Flammability Testing: Application to Hardwood Pyrolysis

M. Chaos
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引用次数: 44

Abstract

The anaerobic pyrolysis of wood material used to palletize commodities is studied in a Fire Propagation Apparatus (FPA) for a range of heating conditions relevant to fires. The data collected, consisting of mass loss rate, cumulative mass loss, and surface temperature, are used to determine model-specific material properties using inverse modeling and optimization methodologies previously developed in our laboratory. However, in this study, considerable effort is placed on determining the radiation environment that characterizes the FPA tests as well as how the radiation interacts with the samples. This is done on the basis of the recognition that boundary conditions have a pronounced effect on the output of a given pyrolysis model and, thus, the optimization results. The spectral radiance from the FPA heaters as well as the absorptivity/emissivity of the material surface are measured herein. The spectral features of the surface indicate that markedly different effective emissivities and absorptivities can be exhibited by the material depending on the spectral distribution of incident radiation. These effects are included in the pyrolysis model used to extract model-specific material properties so that the optimization process can, in a sense, be decoupled from boundary conditions. Therefore, it is expected that the approach described in this study can ensure that the derived model-specific properties can be applied to practical scenarios that are characterized by radiation environments that differ from those in bench-scale test apparatuses such as the FPA.
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光谱方面的实验尺度可燃性测试:应用于硬木热解
在与火灾相关的一系列加热条件下,在火焰传播装置(FPA)中研究了用于码垛商品的木材材料的厌氧热解。收集到的数据,包括质量损失率、累积质量损失率和表面温度,用于使用我们实验室先前开发的逆建模和优化方法确定模型特定的材料特性。然而,在这项研究中,相当大的努力放在确定辐射环境的特点,FPA测试以及辐射如何与样品相互作用。这样做的基础是认识到边界条件对给定热解模型的输出有显著影响,因此对优化结果也有显著影响。本文测量了FPA加热器的光谱辐射以及材料表面的吸收/发射率。表面的光谱特征表明,入射辐射的光谱分布不同,材料的有效发射率和吸收率也不同。这些影响都包含在用于提取模型特定材料属性的热解模型中,因此在某种意义上,优化过程可以与边界条件解耦。因此,预计本研究中描述的方法可以确保推导出的模型特定特性可以应用于实际场景,这些场景的辐射环境与FPA等实验规模测试设备中的辐射环境不同。
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