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Influence of physical properties on polymer flammability in the cone calorimeter

机译：锥量热仪中物理性能对聚合物可燃性的影响

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The relationship between physical properties and fire performance as measured in the cone calorimeter is not well understood. A number of studies have identified relationships between the physical and chemical properties of polymeric materials and their gasification behavior which can be determined through numerical pyrolysis models. ThermaKin, a one-dimensional pyrolysis model, has recently been employed to predict the burning behavior in fire calorimetry experiments. The range of thermal, chemical, and optical properties of various polymers have been utilized to simulate the processes occurring within a polymer exposed to a uniform heat flux, such as in a cone calorimeter. ThermaKin uses these material properties to predict the mass flux history in a cone calorimeter. Multiplying the mass flux history by the heat of combustion of the fuel gases gives the HRR history and these have been calculated for cone calorimeter experiments at 50 kWm~(-2) incident heat flux for the lowest, average, and highest values of physical parameters exhibited by common polymers. In contrast with actual experiments in fire retardancy, where several parameters change on incorporation of an additive, this study allows for the effect of each parameter to be seen in isolation. The parameters used in this study are grouped into physical properties (density, heat capacity, and thermal conductivity), optical properties (absorption and reflectivity), and chemical properties (heat of decomposition, kinetic parameter, and heat of combustion). The study shows how the thermal decomposition kinetic parameters effect the surface burning (pyrolysis) temperature and resulting heat release rate history, as well as the relative importance of other properties directly related to the chemical composition. It also illustrates the effect of thermal inertia (the product of density, heat capacity, and thermal conductivity) and of the samples' ability to absorb radiant heat.
机译：在锥形量热仪中测得的物理性能和防火性能之间的关系尚不十分清楚。许多研究已经确定了聚合材料的物理和化学性质与其气化行为之间的关系，可以通过数值热解模型确定这些关系。一维热解模型ThermaKin最近已用于预测火量法实验中的燃烧行为。已经利用各种聚合物的热，化学和光学性质的范围来模拟暴露于均匀热通量的聚合物内发生的过程，例如在锥形量热仪中。 ThermaKin使用这些材料属性来预测锥形量热仪中的质量通量历史。将质量通量历史乘以燃料气体的燃烧热可得出HRR历史，这些是针对锥形量热仪实验在50 kWm〜（-2）入射热通量下计算得出的，以求出最低，平均和最高的物理参数值常见的聚合物表现出来的。与阻燃性的实际实验相反，在阻燃性中，几个参数会发生变化，而这项研究允许孤立地观察每个参数的影响。本研究中使用的参数分为物理性质（密度，热容量和导热系数），光学性质（吸收和反射率）和化学性质（分解热，动力学参数和燃烧热）。研究表明，热分解动力学参数如何影响表面燃烧（热解）温度和最终的放热速率历史，以及与化学成分直接相关的其他性能的相对重要性。它还说明了热惯性（密度，热容量和热导率的乘积）和样品吸收辐射热的能力的影响。

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