Transient heat transfer experiment and thermal conductivity identification of coating materials
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摘要:
针对涂层‒基体一体化的双层结构，为测试评估其中涂层材料的导热性能，提出基于瞬态平面热源法（transient plane source, TPS）的涂层材料导热系数反演辨识方法。根据Hot-Disk实验测试原理，建立基体‒涂层‒探头整体的二维非稳态传热模型；结合测量过程中的瞬时温升数据信息，采用粒子群优化算法反演辨识获得涂层材料的导热系数；并通过实验和数值模拟论证了上述方法的可靠性。结果表明：该测量方法能够有效获得涂层导热系数，测试反演的数值偏差小于4.0%。最后，实际测量和反演辨识获得了一种涂层材料常温至773 K的导热系数，随温度提高呈现增大趋势，数值范围为0.18～0.29 W/(m·K)。
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关键词:
- 涂层导热系数 /
- 瞬态平面热源法（TPS） /
- 二维非稳态传热模型 /
- 粒子群算法 /
- 反演辨识
Abstract:In order to evaluate the thermal conductivity of the coating material in the coating substrate integrated double-layer structure, an inversion method of thermal conductivity of coating materials based on transient plane source (TPS) was proposed. According to the Hot-Disk experimental measurement process, a two-dimensional unsteady heat transfer model of substrate-coating-probe was established. Combined with the instantaneous temperature rise data in the experimental test, the thermal conductivity of coating materials was obtained by inversion identification using particle swarm optimization algorithm. The reliability of the above method was demonstrated by experiments and numerical simulation. The results showed this technology can effectively acquire the thermal conductivity of coating with a low deviation less than 4.0%. Finally, the thermal conductivity of a coating material from room temperature to 773 K was obtained by actual measurement and inversion identification. A gradual increase was found as the temperature increased and the numerical range was 0.18−0.29 W/(m·K).
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图 3 导热系数反演辨识流程图
Figure 3. Flow chart of the inverse identification process for the thermal conductivity.
图 4 模拟涂层‒基体双层结构的实验测试
Figure 4. Experimental test of the simulated coating-substrate double-layer structure
图 5 探头温升数值模拟与实验结果比较
Figure 5. Comparison between numerical and experimental results of the probe temperature rise
图 8 双层结构时不同情况下探头温升曲线
Figure 8. Probe temperature rise curve under different conditions for double-layer structure
图 9 双层结构时反演模型验证比较
Figure 9. Validation of the inversion model for double-layer structure
图 10 不同涂层导热系数情况下探头温升曲线图
Figure 10. Probe temperature rise curve under different thermal conductivity conditions for the coating
图 11 涂层不同导热系数下反演模型相对偏差
Figure 11. Relative deviation of inversion model under different thermal conductivities of coating
图 12 涂层不同厚度情况下探头温升曲线图
Figure 12. Probe temperature rise curve under different coating thickness
图 13 涂层不同厚度下反演模型相对偏差
Figure 13. Relative deviation of inversion model under different coating thicknesses
图 16 一种隔热涂层‒基体双层结构不同测试温度下探头温升曲线
Figure 16. Probe temperature rise curve under different temperatures for an insulation coating-substrate double-layer structure
表 1 隔热涂层材料在不同温度下的导热系数
Table 1. Thermal conductivity of the insulation coating at different temperatures
Tamb/K λ/（W/（m·K）） 均值 P1 P2 P3 300 0.184 0.179 0.180 0.181 373 0.210 0.203 0.205 0.206 473 0.219 0.204 0.212 0.217 573 0.241 0.235 0.225 0.225 713 0.248 0.245 0.232 0.242 773 0.292 0.285 0.289 0.292 
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