Li Ang, Zhang Wenlong, Zhang Juan, Ding Yanming, Zhou Ru
College of Power Engineering, Naval University of Engineering, 717 Jiefang Ave, Qiaokou District, Wuhan 430032, China.
Faculty of Engineering, China University of Geosciences, 388 Lumo Rd, Hongshan District, Wuhan 430074, China.
Materials (Basel). 2020 Dec 8;13(24):5595. doi: 10.3390/ma13245595.
Extruded polystyrene (XPS) is a thermal insulation material extensively applied in building systems. It has attracted much attention because of outstanding thermal insulation performance, obvious flammability shortcoming and potential energy utilization. To establish the reaction mechanism of XPS's pyrolysis, thermogravimetric experiments were performed at different heating rates in nitrogen, and multiple methods were employed to analyze the major kinetics of pyrolysis. More accurate kinetic parameters of XPS were estimated by four common model-free methods. Then, three model-fitting methods (including the Coats-Redfern, the iterative procedure and masterplots method) were used to establish the kinetic model. Since the kinetic models established by the above three model-fitting methods were not completely consistent based on different approximations, considering the effect of different approximates on the model, the reaction mechanism was further established by comparing the conversion rate based on the model-fitting methods corresponding to the possible reaction mechanisms. Finally, the accuracy of the above model-fitting methods and Particle Swarm Optimization (PSO) algorithm were compared. Results showed that the reaction function () = (1 - ) - 1 might be the most suitable to characterize the pyrolysis of XPS. The conversion rate calculated by masterplots and PSO methods could provide the best agreement with the experimental data.
挤塑聚苯乙烯(XPS)是一种广泛应用于建筑系统的保温材料。由于其出色的保温性能、明显的易燃性缺点以及潜在的能源利用价值,它备受关注。为了建立XPS热解的反应机理,在氮气中以不同加热速率进行了热重实验,并采用多种方法分析热解的主要动力学。通过四种常见的无模型方法估算了更准确的XPS动力学参数。然后,使用三种模型拟合方法(包括Coats-Redfern法、迭代程序法和主曲线法)建立动力学模型。由于基于不同近似建立的上述三种模型拟合方法所得到的动力学模型并不完全一致,考虑到不同近似对模型的影响,通过比较基于对应可能反应机理的模型拟合方法的转化率,进一步建立了反应机理。最后,比较了上述模型拟合方法和粒子群优化(PSO)算法的准确性。结果表明,反应函数f(α) = (1 - α)-1可能最适合表征XPS的热解。通过主曲线法和PSO方法计算的转化率与实验数据的吻合度最佳。