Analysis on transient test of thermal conductivity of anisotropic materials based on laser heating

被引:0
作者
Zheng, Ningyue [1 ]
Chen, Xue [1 ]
Sun, Chuang [1 ]
Xia, Xinlin [1 ]
机构
[1] School of Energy Science and Engineering, Harbin Institute of Technology, Harbin
来源
Hangkong Dongli Xuebao/Journal of Aerospace Power | 2024年 / 39卷 / 11期
关键词
anisotropic materials; laser excitation; particle swarm algorithms; thermal conductivity; transient tests;
D O I
10.13224/j.cnki.jasp.20220425
中图分类号
学科分类号
摘要
Considering the transient process of laser heating sample, the heat transfer model of anisotropic material was established. The influences of heating time, spot diameter and other parameters on the temperature rise of typical materials under different laser power and sample thickness were discussed. The reasonable range of laser parameters and sample size was determined by analysis. Furthermore, the sensitivity and influencing factors of the transient test method were analyzed by combining the identification model of thermal conductivity inversion based on temperature rise. The results showed that the inversion errors of thermal conductivity, heating power and surface emissivity were less than 2% without considering the temperature test error in the experiment. In the actual test process, the initial temperature field uniformity and emissivity had a greater impact. When the test temperature was 800 K and the error was 1%, the inversion accuracy of thermal conductivity was high (less than 2%) and the deviation of surface emissivity was large. When the emissivity of material was obtained and the non-uniformity of initial temperature field was 0.13%, the deviations of axial and radial thermal conductivity can be reduced obviously by simultaneous inversion of thermal conductivity and correction coefficient of initial temperature field. © 2024 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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  • [1] GUPTA R K,, RAMKUMAR P., Titanium aluminides for metallic thermal protection system of reusable space transportation vehicle: a review, Frontiers in Aerospace Engineering, 4, 1, pp. 14-19, (2015)
  • [2] ZHAO Yan, MENG Tian, JING Chengjun, Et al., Experimental and numerical investigation on thermal performance of PV-driven aluminium honeycomb solar air collector, Solar Energy, 204, pp. 294-306, (2020)
  • [3] PATEL V K., An efficient optimization and comparative analysis of ammonia and methanol heat pipe for satellite application, Energy Conversion and Management, 165, pp. 382-395, (2018)
  • [4] ZUO Kejun, WEN Jie, Three-dimensional fiber random model to predict effective thermal conductivity of plain braided C/SiC composites, Journal of Aerospace Power, 33, 6, pp. 1326-1335, (2018)
  • [5] JIANG Hua, MAO Junkui, TU Zecan, Et al., Thermal conductivity prediction of unidirectional composites based on microstructure identification, Journal of Aerospace Power, 31, 11, pp. 2641-2651, (2016)
  • [6] LIU Hua, Experiment on coupled heat transfer and thermal property identification of nanocomposite insulation at high temperature, (2017)
  • [7] ZHANG Tao, LU Mei, TAO Liang, Et al., Seeking heat source in inverse heat conduction problem by using particle swarm optimization, Journal of University of Shanghai for Science and Technology, 35, 4, pp. 377-381, (2013)
  • [8] WEN Bin, WU Qingbai, JIANG Guanli, Et al., Back analysis of frozen soil thermal properties based on simulated annealing optimization algorithm, Rock and Soil Mechanics, 34, 8, pp. 2401-2408, (2013)
  • [9] ZHANG Hu, WU Kefan, XIAO Guangming, Et al., Experimental study of the anisotropic thermal conductivity of 2D carbon-fiber/ epoxy woven composites, Composite Structures, 267, (2021)
  • [10] JANNOT Y,, DEGIOVANNI A,, SCHICK V,, Et al., Apparent thermal conductivity measurement of anisotropic insulating materials at high temperature by the parallel hot-wire method, International Journal of Thermal Sciences, 160, (2021)