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Property Estimation for Pyrolysis Modeling Applied to Polyester FRP Composites with Different Glass Contents

机译：具有不同玻璃含量的聚酯FRP复合材料的热解模拟性能估计

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For the composites industry to "design for fire" more thorough understanding of how typical FRPs decompose under fire conditions is needed. The role played by the glass and the resin (and additives) for FRPs are keys to understanding the fire behavior. To that end, this study continues work presented at Composites 2007 [1]. The goal of this work is to evaluate the ability of a pyrolysis model and genetic algorithm (optimization routine) pairing to estimate properties of each component of the composite, resin and glass. The composite pyrolysis experimental data used in this work was obtained from tests conducted on a bench scale fire test apparatus, Fire Propagation Apparatus, with additional instrumentation to measure surface and internal temperatures of the sample. Mass loss data and temperature profiles with respect to time at different in-depth locations are used in the optimization process. The property estimation exercise is conducted on a brominated, unsaturated polyester FRP composite with low glass content. Thermal analysis data from thermogravimetric analysis and differential scanning calorimetry of the polyester resin in the composite was used to model the decomposition kinetics. With the approximated decomposition kinetics for the resin, simulation of pyrolysis tests (nitrogen environment) of the composite slab was performed to estimate the unknown thermophysical properties by genetic algorithm optimization. A validation exercise using the estimated properties is then conducted on a composite with high glass content. The quality of the estimated properties is assessed by comparing simulated results to experimental results for the high glass content sample.
机译：对于复合材料的行业来说，“灭火”更加透彻了解如何在火灾条件下分解的典型FRP。玻璃和FRPS的树脂（和添加剂）发挥的作用是理解火灾行为的键。为此，本研究继续在Composites 2007 [1]上呈现的工作。这项工作的目标是评估热解模型和遗传算法（优化常规）配对以估计复合材料，树脂和玻璃的每个组分的性能的能力。在该工作中使用的复合热解脱离实验数据是从在板凳刻度消防试验装置，火宣传设备的测试中获得的，其中额外的仪器测量样品的表面和内部温度。在优化过程中使用了在不同深入位置处的相对于时间的质量损失数据和温度分布。物质估计锻炼在溴化的不饱和聚酯FRP复合材料上进行，低玻璃含量。复合材料中聚酯树脂的热分析和差示扫描量热法的热分析数据用于模拟分解动力学。对于树脂的近似分解动力学，进行复合板的热解试验（氮环境）的模拟以估计通过遗传算法优化来估计未知的热物理性质。然后在具有高玻璃含量的复合材料上进行使用使用估计性质的验证锻炼。通过将模拟结果与高玻璃含量样品的实验结果进行比较来评估估计性质的质量。

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