Thermal behavior, kinetics, and gas evolution characteristics for the pyrolysis of unused and UV-aged GFRP

被引:0
|
作者
Nan, Wei [1 ]
Ji, Wenhui [1 ]
Yuan, Yanping [1 ]
Zhang, Jidan [1 ]
Sun, Yong [1 ,2 ]
机构
[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Sichuan, Peoples R China
[2] CRRC Changchun Railway Vehicles Co Ltd, Changchun 130062, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Pyrolysis; Kinetics; Ultraviolet Aging; Convolutional Neural Network; TG-FTIR; UNSATURATED POLYESTER; ACTIVATION-ENERGY; NEURAL-NETWORKS; TG-FTIR; DEGRADATION; DECOMPOSITION; DURABILITY; PREDICTION; RADIATION; RESINS;
D O I
10.1016/j.jaap.2024.106921
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Glass fiber reinforced plastic (GFRP) materials are particularly susceptible to significant performance deterioration in environments with intense ultraviolet (UV) radiation, which increases the risk of ignition. However, the impact of UV exposure on the combustion characteristics of GFRP has not been revealed in the literature. Pyrolysis is the first step of combustion. This study utilizes TG-FTIR to examine the pyrolysis behaviors of both unused and UV-aged GFRP. The results indicate that the pyrolysis process for both unused and aged samples can be divided into two stages. A decrease in the activation energy of the initial pyrolysis stage was observed, with reductions of 18.8 % and 20.2 % after aging durations of 7 and 15 days, respectively. Furthermore, the pyrolysis process was accurately modeled using diffusional, power law, nucleation, and order-based reaction mechanism models. The components generated during the pyrolysis of unused and UV-aged GFRP included C-O, H2O, CO2, C-H, and C--O. Additionally, the thermal degradation process was reconstructed by a Convolutional Neural Network model, and the results demonstrated a strong correlation between the predicted data and the experimental data. The findings from the pyrolysis analyses suggest that UV aging significantly increases the ignition risk associated with GFRP.
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收藏
页数:14
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