基于热化学反应的聚碳酸酯热解模型构建及火灾响应预报方法

李翰; 魏鹏; 冯振宇

基于热化学反应的聚碳酸酯热解模型构建及火灾响应预报方法

李翰^{1, 3, ,},
魏鹏²,
冯振宇³

1.
中国民航大学　民航热灾害防控与应急重点实验室, 天津 300300
2.
中国民航大学　安全科学与工程学院, 天津 300300
3.
中国民航大学科技创新研究院, 天津 300300

基金项目: 民航热灾害防控与应急重点实验室开放基金项目(RZH2023-KF-03)

详细信息

通讯作者:
李翰，博士，助理研究员，硕士生导师，研究方向为复合材料结构防火　E-mail: cauc_lihan@126.com

中图分类号: TQ323.41；TB332
计量
- 文章访问数: 55
- HTML全文浏览量: 33
- 被引次数: 0
出版历程
- 收稿日期: 2024-06-06
- 修回日期: 2024-08-05
- 录用日期: 2024-08-10
- 网络出版日期: 2024-08-28

Pyrolysis model construction and fire response prediction method of polycarbonate materials based on thermochemical reaction

LI Han^{1, 3
, ,},
WEI Peng²,
FENG Zhenyu³

1.
Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response, Civil Aviation University of China, Tianjin 300300, China;
2.
College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
3.
Science and Technology Innovation Research Institute, Civil Aviation University of China,Tianjin 300300, China

Funds: Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response (RZH2023-KF-03)

摘要

摘要: 为研究火灾环境下的聚合物火灾响应，考虑瞬态热能传递和热解气体传输过程，根据热化学反应机制，从能量和质量两个方面描述聚合物热解和燃烧过程，建立聚合物热解模型，提出了火灾响应预报方法。以聚碳酸酯为研究对象，预测其质量损失和热释放速率，并探究了50 kW/m²单侧热流作用下材料在不同深度位置的热解和炭化规律。结果表明：该模型能够有效预测聚碳酸酯的质量损失和热释放特性；不同温升速率和热流密度条件下，模型计算得到的质量损失率峰值和平均热释放速率数值与实验结果吻合较好，误差分别低于6.0%和5.0%；三种热流密度下预测的点火时间与实验的误差分别为1.2%、8.6%和16%；相较于50 kW/m²热流密度下的平均热释放速率，在75 kW/m²和92 kW/m²条件下所预测的平均热释放速率分别提高14.6%和27.4%。
- 聚合物材料 /
- 火灾响应 /
- 数值模拟 /
- 热释放速率 /
- 瞬态传热
Abstract: In order to study and predict the fire behavior of polymers under unilateral heating conditions, the transient heat transfer and pyrolysis gas transport processes were considered, and the pyrolysis and combustion processes of polymers were described from two aspects of energy and mass according to the thermochemical reaction mechanism, the polymer pyrolysis model was established, and the fire response prediction method was proposed. The mass loss and heat release rate of polycarbonate were predicted, and the pyrolysis and carbonization of the material at different depths under the unilateral heat flow of 50 kW/m² were investigated. The results show that the model can effectively predict the mass loss and heat release characteristics of polycarbonate. Under different temperature rise rate and heat flux, the values of peak mass loss rate and soaking heat release rate calculated by the model agree well with the experimental results, and the errors are lower than 6.0% and 5.0%, respectively. Compared with the average heat release rate at 50kW/m², the predicted average heat release rate at 75 kW/m² and 92 kW/m² is increased by 14.6% and 27.4%, respectively.
- polymer material /
- fire response /
- numerical simulation /
- heat release rate /
- heat transfer

HTML全文

图 1 热解模型构建与火灾响应计算流程图

Figure 1. Pyrolysis model construction and fire response calculation flow chart

下载: 全尺寸图片幻灯片

图 2 PC材料在不同升温速率条件下模型预测结果与TGA实验结果的对比曲线

Figure 2. Comparison curve between model prediction results and TGA test results of PC material at different heating rate

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图 3 PC材料在不同热流密度下热释放速率曲线的计算与实验对比

Figure 3. Calculation and experimental comparison of heat release rate curves of PC materials at different heat flux densities

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图 4 50 kW/m²热流密度条件下PC浓度随加热时间及深度的变化规律

Figure 4. Variation of PC concentration with heating time and depth under 50 kW/m² heat flux

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图 5 50 kW/m²热流密度条件下PC炭化物浓度随加热时间及深度的变化规律

Figure 5. Variation of PC carbonized concentration with heating time and depth under 50 kW/m² heat flux

下载: 全尺寸图片幻灯片

图 6 不同热流密度条件下100 s和150 s时各输入参数对PC热释放速率的全局灵敏度分析

Figure 6. Global sensitivity analysis of each input parameter to PC heat release rate at 100 s and 150 s under different heat flux conditions

下载: 全尺寸图片幻灯片

表 1 热解反应参数^[29]

Table 1. Pyrolysis reaction parameter^[29]

Parameter	Value
Pre-exponential factor/s⁻¹	(1.9±1.1)×10¹⁸ [4.5×10²⁴]^*
Activation energy/(J·mol⁻¹)	(2.95±0.06)×10⁵ [4.01×10⁵]^*
Heat of reaction/(J·kg⁻¹)	－(8.3±1.4)×10⁵
Stoichiometric coefficients	0.21±0.01
Heat of combustion/(J·kg⁻¹)	(2.56±0.13)×10⁷
Notes: * is the kinetic parameter obtained by fitting 30 K min⁻¹ experiment

下载: 导出CSV

表 2 材料组分性能参数^[29]

Table 2. Material component performance parameters^[29]

Property	PC value	PC_char value	PC_gas value
Density/(kg·m⁻³)	1180±60	-	-
Specific heat/((J·(kg·K)⁻¹)	1900±300	1720±170	1000
Thermal conductivity(W·(m·K)⁻¹)	0.22±0.03	-	-
Reflectivity	0.10±0.05	0.15±0.05	-
Radiation absorption coefficients/(m²·kg⁻¹)	1.5±0.5	100	1.5
Notes：PC —Undecomposed polycarbonate；PC_char—Char produced by pyrolysis of polycarbonate；PC_gas—Gaseous product of polycarbonate pyrolysis.

下载: 导出CSV

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