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基于激光加热的各向异性材料导热系数瞬态测试分析

郑宁悦 陈学 孙创 夏新林

郑宁悦, 陈学, 孙创, 等. 基于激光加热的各向异性材料导热系数瞬态测试分析[J]. 航空动力学报, 2024, 39(11):20220425 doi: 10.13224/j.cnki.jasp.20220425
引用本文: 郑宁悦, 陈学, 孙创, 等. 基于激光加热的各向异性材料导热系数瞬态测试分析[J]. 航空动力学报, 2024, 39(11):20220425 doi: 10.13224/j.cnki.jasp.20220425
ZHENG Ningyue, CHEN Xue, SUN Chuang, et al. Analysis on transient test of thermal conductivity of anisotropic materials based on laser heating[J]. Journal of Aerospace Power, 2024, 39(11):20220425 doi: 10.13224/j.cnki.jasp.20220425
Citation: ZHENG Ningyue, CHEN Xue, SUN Chuang, et al. Analysis on transient test of thermal conductivity of anisotropic materials based on laser heating[J]. Journal of Aerospace Power, 2024, 39(11):20220425 doi: 10.13224/j.cnki.jasp.20220425

基于激光加热的各向异性材料导热系数瞬态测试分析

doi: 10.13224/j.cnki.jasp.20220425
基金项目: 国家自然科学基金(51806046); 黑龙江省博士后资助(LBH-Z18081)
详细信息
    作者简介:

    郑宁悦(1998-),女,硕士生,主要从事高温热防护结构的传热特性研究。E-mail:NingyZheng@163.com

    通讯作者:

    陈学(1985-),男,讲师,博士,主要从事高温耦合传热和红外辐射传输研究。E-mail:hit_chenxue@hit.edu.cn

  • 中图分类号: V19;TK124

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

  • 摘要:

    针对激光加热试样的瞬态过程,建立各向异性材料的传热模型,讨论不同激光功率及试样厚度下,加热时长、光斑直径等参数对典型材料温升的影响,通过分析确定激光参数及样件尺寸的合理范围。进一步,结合基于温升的导热系数反演辨识模型,对该瞬态测试方法的敏感性及影响因素进行分析。结果表明:不考虑实验中温度测试误差时,对导热系数、加热功率及表面发射率同时反演辨识,反演偏差均小于2%。而在实际测试过程中,初始温度场均匀性和发射率的影响较大。当测试温度800 K、测温误差为1%时,导热系数反演精度高(小于2%),表面发射率偏差较大。而当材料发射率已知,材料初始温度场非均匀性为0.13%时,对导热系数及初始温度场修正系数同时反演,轴向及径向导热系数的反演偏差可明显降低。

     

  • 图 1  测试方法主要流程图

    Figure 1.  Flow chart of test analysis method

    图 2  圆柱形试样二维轴对称传热模型

    Figure 2.  Two-dimensional axisymmetric heat transfer model of cylindrical specimen

    图 3  粒子群算法流程示意图

    Figure 3.  Flow diagram of particle swarm algorithms

    图 4  数值方法验证结果示意图

    Figure 4.  Diagram of numerical method verification results

    图 5  激光功率不同时材料表面的最大温升云图

    Figure 5.  The maximum temperature rise of the material surface at different laser power

    图 6  试样厚度不同时材料表面的最大温升云图

    Figure 6.  Maximum temperature rise of the material surface with different sample thicknesses

    图 7  待辨识参数的灵敏度曲线

    Figure 7.  Sensitivity curve of parameters to be identified

    图 8  反演最优解对应温度场偏差示意图

    Figure 8.  Inverted optimal solution corresponding to temperature field deviation diagram

    表  1  材料的基本热物性参数表[33-35]

    Table  1.   Basic thermophysical parameters of materials[33-35]

    材料 λz/
    (W/(m·K))
    λr/
    (W/(m·K))
    ε1 c/
    (J/(kg·K))
    ρ/
    (kg/m3
    1 1.94 16.10 0.86 1178.00 2239.00
    2 7.81 2.00 0.86 800.00 1770.00
    3 0.80 0.40 0.86 661.03 1806.44
    下载: 导出CSV

    表  2  不同激光功率下不同材料的最大温升和ξl

    Table  2.   Maximum temperature rise and ξl of different materials under different laser power

    材料 最大温升/K ξl/% ∆ξl/%
    qs=1 qs=0.8 qs=1 qs=0.8
    1 20.97 16.77 72.94 83.13 10.19
    2 27.82 22.26 66.36 76.12 9.76
    3 148.77 119.65 4.33 9.80 5.47
    下载: 导出CSV

    表  3  不同试样厚度下不同材料的最大温升和ξl

    Table  3.   Maximum temperature rise and ξl of different materials under different sample thickness

    材料 最大温升/ K ξl/% ∆ξl/%
    H=5 mm H=15 mm H=5 mm H=15 mm
    1 20.99 20.92 72.54 73.17 0.63
    2 33.75 27.19 53.76 67.48 13.72
    3 151.86 145.88 2.11 6.09 3.98
    下载: 导出CSV

    表  4  测温点坐标

    Table  4.   Coordinates of temperature measuring points

    测温点 r, z)/mm 测温点 r, z)/mm
    1 (12, 10) 4 (0, 0)
    2 (14, 10) 5 (5, 0)
    3 (16, 10) 6 (10, 0)
    下载: 导出CSV

    表  5  反演结果及误差

    Table  5.   Inversion results and errors

    参数 真实值 反演结果 误差/%
    λz/(W/(m·K)) 7.81 7.72 1.15
    λr/(W/(m·K)) 2.00 1.99 0.50
    ε1 0.86 0.87 1.16
    qs/W 5.00 5.01 0.20
    下载: 导出CSV

    表  6  考虑测温偏差后的反演结果及误差

    Table  6.   Inversion results and errors considering temperature deviation

    参数 真实值 反演结果 误差/%
    发射率
    未知
    发射率
    已知
    发射率
    未知
    发射率
    已知
    λz/(W/(m·K)) 7.81 7.90 7.78 1.15 0.38
    λr/(W/(m·K)) 2.00 2.01 2.01 0.50 0.50
    ε1 0.86 0.72 16.28
    qs/W 5.00 4.99 5.02 0.20 0.40
    下载: 导出CSV

    表  7  考虑初始温度场非均匀的反演结果及误差

    Table  7.   Inversion results and errors considering inhomogeneous initial temperature field

    参数 真值 反演结果 误差/%
    初始温度场未修正 初始温度场已修正 初始温度场未修正 初始温度场已修正
    λz/(W/(m·K)) 7.81 10.80 8.47 38.28 8.45
    λr/(W/(m·K)) 2.00 1.49 1.93 25.50 3.50
    qs/W 5.00 3.79 4.83 24.20 3.40
    下载: 导出CSV
  • [1] GUPTA R K,RAMKUMAR P. Titanium aluminides for metallic thermal protection system of reusable space transportation vehicle: a review[J]. Frontiers in Aerospace Engineering,2015,4(1): 14-19. doi: 10.12783/fae.2015.0401.02
    [2] ZHAO Yan,MENG Tian,JING Chengjun,et al. Experimental and numerical investigation on thermal performance of PV-driven aluminium honeycomb solar air collector[J]. Solar Energy,2020,204: 294-306. doi: 10.1016/j.solener.2020.04.047
    [3] PATEL V K. An efficient optimization and comparative analysis of ammonia and methanol heat pipe for satellite application[J]. Energy Conversion and Management,2018,165: 382-395. doi: 10.1016/j.enconman.2018.03.076
    [4] 左可军,闻洁. 预测平纹编织C/SiC复合材料等效导热系数的三维纤维随机模型[J]. 航空动力学报,2018,33(6): 1326-1335. ZUO Kejun,WEN Jie. Three-dimensional fiber random model to predict effective thermal conductivity of plain braided C/SiC composites[J]. Journal of Aerospace Power,2018,33(6): 1326-1335. (in Chinese

    ZUO Kejun, WEN Jie. Three-dimensional fiber random model to predict effective thermal conductivity of plain braided C/SiC composites[J]. Journal of Aerospace Power, 2018, 33(6): 1326-1335. (in Chinese)
    [5] 江华,毛军逵,屠泽灿,等. 基于微结构识别的单向复合材料导热系数预估[J]. 航空动力学报,2016,31(11): 2641-2651. JIANG Hua,MAO Junkui,TU Zecan,et al. Thermal conductivity prediction of unidirectional composites based on microstructure identification[J]. Journal of Aerospace Power,2016,31(11): 2641-2651. (in Chinese

    JIANG Hua, MAO Junkui, TU Zecan, et al. Thermal conductivity prediction of unidirectional composites based on microstructure identification[J]. Journal of Aerospace Power, 2016, 31(11): 2641-2651. (in Chinese)
    [6] 刘华. 纳米复合隔热材料高温耦合传热实验测量及物性参数辨识[D]. 哈尔滨: 哈尔滨工业大学,2017. LIU Hua. Experiment on coupled heat transfer and thermal property identification of nanocomposite insulation at high temperature[D]. Harbin: Harbin Institute of Technology,2017. (in Chinese

    LIU Hua. Experiment on coupled heat transfer and thermal property identification of nanocomposite insulation at high temperature[D]. Harbin: Harbin Institute of Technology, 2017. (in Chinese)
    [7] 张涛,卢玫,陶亮,等. 基于粒子群优化算法的寻源导热反问题研究[J]. 上海理工大学学报,2013,35(4): 377-381. ZHANG Tao,LU Mei,TAO Liang,et al. Seeking heat source in inverse heat conduction problem by using particle swarm optimization[J]. Journal of University of Shanghai for Science and Technology,2013,35(4): 377-381. (in Chinese doi: 10.3969/j.issn.1007-6735.2013.04.014

    ZHANG Tao, LU Mei, TAO Liang, et al. Seeking heat source in inverse heat conduction problem by using particle swarm optimization[J]. Journal of University of Shanghai for Science and Technology, 2013, 35(4): 377-381. (in Chinese) doi: 10.3969/j.issn.1007-6735.2013.04.014
    [8] 文斌,吴青柏,蒋观利,等. 模拟退火优化算法的冻土热传导参数反分析[J]. 岩土力学,2013,34(8): 2401-2408. WEN Bin,WU Qingbai,JIANG Guanli,et al. Back analysis of frozen soil thermal properties based on simulated annealing optimization algorithm[J]. Rock and Soil Mechanics,2013,34(8): 2401-2408. (in Chinese

    WEN Bin, WU Qingbai, JIANG Guanli, et al. Back analysis of frozen soil thermal properties based on simulated annealing optimization algorithm[J]. Rock and Soil Mechanics, 2013, 34(8): 2401-2408. (in Chinese)
    [9] ZHANG Hu,WU Kefan,XIAO Guangming,et al. Experimental study of the anisotropic thermal conductivity of 2D carbon-fiber/epoxy woven composites[J]. Composite Structures,2021,267: 113870. doi: 10.1016/j.compstruct.2021.113870
    [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[J]. International Journal of Thermal Sciences,2021,160: 106672. doi: 10.1016/j.ijthermalsci.2020.106672
    [11] KUSIAK A,MARTAN J,BATTAGLIA J L,et al. Using pulsed and modulated photothermal radiometry to measure the thermal conductivity of thin films[J]. Thermochimica Acta,2013,556: 1-5. doi: 10.1016/j.tca.2013.01.010
    [12] ZHU Jie,WU Xuewang,LATTERY D M,et al. The ultrafast laser pump-probe technique for thermal characterization of materials with micro/nanostructures[J]. Nanoscale and Microscale Thermophysical Engineering,2017,21(3): 177-198. doi: 10.1080/15567265.2017.1313343
    [13] TKADLETZ M,LECHNER A,SCHALK N,et al. Reactively sputtered TiN/SiO2 multilayer coatings with designed anisotropic thermal conductivity–From theoretical conceptualization to experimental validation[J]. Surface and Coatings Technology,2020,393: 125763. doi: 10.1016/j.surfcoat.2020.125763
    [14] KIM G,KIM D,KANG S,et al. Research on measuring thermal conductivity of quartz and sapphire glass using rear-side photothermal deflection method[J]. Applied Sciences,2021,11(4): 1535. doi: 10.3390/app11041535
    [15] JEON P S,KIM J H,KIM H J,et al. Thermal conductivity measurement of anisotropic material using photothermal deflection method[J]. Thermochimica Acta,2008,477(1/2): 32-37.
    [16] HEADLEY A,HILEMAN M,ROBBINS A,et al. A thermal conductivity model for microporous insulations in gaseous environments[J]. International Journal of Heat and Mass Transfer,2019,135: 1278-1285. doi: 10.1016/j.ijheatmasstransfer.2019.02.073
    [17] ZHANG Hu,LI Yueming,TAO Wenquan. Theoretical accuracy of anisotropic thermal conductivity determined by transient plane source method[J]. International Journal of Heat and Mass Transfer,2017,108: 1634-1644. doi: 10.1016/j.ijheatmasstransfer.2017.01.025
    [18] RODRIGO O,BERTRAND G. Radial thermal conductivity of a PAN type carbon fiber using the 3 omega method[J]. International Journal of Thermal Sciences,2022,172: 107321. doi: 10.1016/j.ijthermalsci.2021.107321
    [19] ROTTMANN M,BEIKIRCHER T,EBERT H P. Thermal conductivity of evacuated expanded perlite measured with guarded-hot-plate and transient-hot-wire method at temperatures between 295 K and 1 073 K[J]. International Journal of Thermal Sciences,2020,152: 106338. doi: 10.1016/j.ijthermalsci.2020.106338
    [20] ZHENG Qiye,KAUR S,DAMES C,et al. Analysis and improvement of the hot disk transient plane source method for low thermal conductivity materials[J]. International Journal of Heat and Mass Transfer,2020,151: 119331. doi: 10.1016/j.ijheatmasstransfer.2020.119331
    [21] ZHAO Wenli,YANG Yi,BAO Zewei,et al. Methods for measuring the effective thermal conductivity of metal hydride beds: a review[J]. International Journal of Hydrogen Energy,2020,45(11): 6680-6700. doi: 10.1016/j.ijhydene.2019.12.185
    [22] ZHANG C,BI Kedong,WANG Jianli,et al. Measurement of thermal boundary conductance between metal and dielectric materials using femtosecond laser transient thermoreflectance technique[J]. Science China Technological Sciences,2012,55(4): 1044-1049. doi: 10.1007/s11431-012-4754-4
    [23] HOPKINS P E,SERRANO J R,PHINNEY L M. Comparison of thermal conductivity and thermal boundary conductance sensitivities in continuous-wave and ultrashort-pulsed thermoreflectance analyses[J]. International Journal of Thermophysics,2010,31(11): 2380-2393.
    [24] ZHU Jie,TANG Dawei,WANG Wei,et al. Ultrafast thermoreflectance techniques for measuring thermal conductivity and interface thermal conductance of thin films[J]. Journal of Applied Physics,2010,108(9): 371-379.
    [25] TANG Lei,DAMES C. Anisotropic thermal conductivity tensor measurements using beam-offset frequency domain thermoreflectance (BO-FDTR) for materials lacking in-plane symmetry[J]. International Journal of Heat and Mass Transfer,2021,164: 120600. doi: 10.1016/j.ijheatmasstransfer.2020.120600
    [26] CHANDA S,BALAJI C,VENKATESHAN S P,et al. Estimation of principal thermal conductivities of layered honeycomb composites using ANN–GA based inverse technique[J]. International Journal of Thermal Sciences,2017,111: 423-436. doi: 10.1016/j.ijthermalsci.2016.09.011
    [27] 侯亚东,单勇,李江宁,等. 各向异性复合材料平板气膜冷却特性实验和数值研究[J]. 航空动力学报,2017,32(10): 2384-2393. HOU Yadong,SHAN Yong,LI Jiangning,et al. Experimental and numerical studies on the film cooling characteristics of anisotropic composite plates[J]. Journal of Aerospace Power,2017,32(10): 2384-2393. (in Chinese

    HOU Yadong, SHAN Yong, LI Jiangning, et al. Experimental and numerical studies on the film cooling characteristics of anisotropic composite plates[J]. Journal of Aerospace Power, 2017, 32(10): 2384-2393. (in Chinese)
    [28] ADAMCZYK W P,PAWLAK S,OSTROWSKI Z. Determination of thermal conductivity of CFRP composite materials using unconventional laser flash technique[J]. Measurement,2018,124: 147-155. doi: 10.1016/j.measurement.2018.04.022
    [29] ADAMCZYK W P,OSTROWSKI Z,RYFA A. Development of a non-destructive technique for measuring thermal conductivity of material with small anisotropy based on application of the reduced order technique[J]. Measurement,2020,165: 108078. doi: 10.1016/j.measurement.2020.108078
    [30] SANS M,SCHICK V,PARENT G,et al. Experimental characterization of the coupled conductive and radiative heat transfer in ceramic foams with a flash method at high temperature[J]. International Journal of Heat and Mass Transfer,2020,148: 119077. doi: 10.1016/j.ijheatmasstransfer.2019.119077
    [31] ERCHIQUI F,ANNASABI Z. 3D hybrid finite element enthalpy for anisotropic thermal conduction analysis[J]. International Journal of Heat and Mass Transfer,2019,136: 1250-1264. doi: 10.1016/j.ijheatmasstransfer.2019.02.096
    [32] 廖云丹. 纤维增强SiO2气凝胶隔热复合材料的可控制备及性能优化研究[D]. 广州: 广州大学,2012. LIAO Yundan. Controllable preparation and performance optimization of fiber-reinforced SiO2Aerogel composites for thermal insulation[D]. Guangzhou: Guangzhou University,2012. (in Chinese

    LIAO Yundan. Controllable preparation and performance optimization of fiber-reinforced SiO2Aerogel composites for thermal insulation[D]. Guangzhou: Guangzhou University, 2012. (in Chinese)
    [33] BREUER S,SCHWOTZER M,SPEZIALE S,et al. Thermoelastic properties of synthetic single crystal portlandite Ca(OH)2 - Temperature-dependent thermal diffusivity with derived thermal conductivity and elastic constants at ambient conditions[J]. Cement and Concrete Research,2020,137: 106199. doi: 10.1016/j.cemconres.2020.106199
    [34] 徐中,殷复振,崔健超. 陶瓷热障涂层隔热效果以及导热系数的研究[C]//第六届全国表面工程学术会议暨首届青年表面工程学术论坛. 甘肃 兰州: 青年表面工程学术论坛,2006: 241-244. XU Zhong,YIN Fuzhen,CUI Jianchao. Study on thermal insulation effect and thermal conductivity of ceramic thermal barrier coatings[C]//The 6th National Conference on Surface Engineering and the 1st Youth Academic Forum on Surface Engineering. Lanzhou Gansu: Youth Surface Engineering Academic Forum,2006: 241-244.

    XU Zhong, YIN Fuzhen, CUI Jianchao. Study on thermal insulation effect and thermal conductivity of ceramic thermal barrier coatings[C]//The 6th National Conference on Surface Engineering and the 1st Youth Academic Forum on Surface Engineering. Lanzhou Gansu: Youth Surface Engineering Academic Forum, 2006: 241-244.
    [35] 毋克凡,Nuanyai Pontarit,张虎,等. 树脂基碳纤维复合材料各向异性导热系数研究[J]. 工程热物理学报,2021,42(5): 1282-1287. WU Kefan,NUANYAI Pontarit,ZHANG Hu,et al. Anisotropic thermal conductivity of carbon-fiber/epoxy composites[J]. Journal of Engineering Thermophysics,2021,42(5): 1282-1287. (in Chinese

    WU Kefan, NUANYAI Pontarit, ZHANG Hu, et al. Anisotropic thermal conductivity of carbon-fiber/epoxy composites[J]. Journal of Engineering Thermophysics, 2021, 42(5): 1282-1287. (in Chinese)
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  • 收稿日期:  2022-06-15
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