Abstract This contribution experimentally and numerically investigates the thermal decomposition of phenol formaldehyde (PF) through thermogravimetric method coupling a new hybrid pyrolysis mechanism. Complicated pyrolysis process associated with at least 6 reactions was observed and a Gauss multi-peak fitting method was applied to identify the contribution of each reaction. Kinetic parameters of the separated reactions were estimated by KAS, Tang and Kissinger isoconversional methods. A developed numerical model capable of predicting complex pyrolysis procedure and the Genetic Algorithm (GA) were combined to parameterize the hybrid pyrolysis mechanism. The estimation results from the isoconversional methods were utilized to determine the initial values and the search ranges. The reliabilities of the proposed numerical model, the reaction scheme and the optimized parameters were validated by the good agreement between numerical predictions and experimental measurements. Meanwhile, the uncertainties of the obtained pre-exponential factors and the activation energies were analyzed to be 50 % and 18 %, respectively.

中文翻译：

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苯酚甲醛的混合热解机理和使用等转化方法和遗传算法的动力学评估

摘要 本文通过热重法结合新的混合热解机制，通过实验和数值研究了苯酚甲醛 (PF) 的热分解。观察到与至少 6 个反应相关的复杂热解过程，并应用高斯多峰拟合方法来确定每个反应的贡献。分离反应的动力学参数通过 KAS、Tang 和 Kissinger 等转化方法估计。开发的能够预测复杂热解过程的数值模型和遗传算法 (GA) 相结合，以参数化混合热解机制。利用等转换方法的估计结果来确定初始值和搜索范围。所提出的数值模型的可靠性，通过数值预测和实验测量之间的良好一致性，验证了反应方案和优化参数。同时，分析得到的指前因子和活化能的不确定度分别为50%和18%。