上海交通大学学报

上海交通大学学报 >

2021 , Vol. 55 >Issue 4: 471 - 479

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2020.99.013

基于激光点热源非稳态传热模型测固体材料热物性参数

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  • 1.安徽理工大学 省部共建深部煤矿采动响应与灾害防控国家重点实验室,安徽 淮南 232001
    2.安徽理工大学 矿山智能装备与技术安徽省重点实验室,安徽 淮南 232001
    3.达姆施塔特工业大学 材料科学学院,德国 达姆施塔特 D-64287
陈清华(1978-),男,安徽省宿州市人,教授,从事材料热物性学、传热传质学等领域的研究.电话(Tel.):18605548100;E-mail: ahhnds@163.com.

收稿日期: 2019-08-24

  网络出版日期: 2021-04-30

基金资助

国家重点研发计划(2018YFC0807900);国家自然科学基金(51874007);安徽省高等学校自然科学研究重点项目(KJ2018A0080)

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Test of Thermo-Physical Property Parameters of Solid Material Based on Laser Point Heat Source Unsteady-State Heat Transfer Model

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  • 1. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, Anhui, China
    2. Anhui Key Laboratory of Mine Intelligent Equipment and Technology, Huainan 232001, Anhui, China
    3. School of Materials Science, Darmstadt University of Technology, Darmstadt D-64287, Germany

Received date: 2019-08-24

  Online published: 2021-04-30

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摘要

提出一种基于激光点热源非稳态传热模型测各向同性固体材料热物性参数的新方法.引入镜像热源理论修正绝热边界对测点温升的影响,建立数学模型,利用数值解法结合计算机编程计算材料导热系数和热扩散率,并研制了热物性测试系统.利用真空泵获得试样容器内的低真空环境,由激光发生器发射激光束加热试样一角,温度传感器测量试样上表面温度,通过无线信号发射单元监测温度变化情况.对硼硅玻璃(Pyrex7740)、大理石、硅藻土耐火砖、硅砖和锆质砖进行热物性综合测试.结果表明:前4种导热系数相对较低的试样的测试值与参考值的相对偏差最大不超过2.76%,测试精度较高.导热系数相对较大的锆质砖的测试值与参考值的相对偏差达到了6.38%,测试精度较低.测试系统不确定度分析也表明,被测试样导热系数越大,测试值与真值间的可信度越低,本装置更适用于导热系数小于3.0W/(m·K)的固体材料.

关键词： 激光点热源; 非稳态传热模型; 镜像热源原理; 固体材料; 热物性参数

本文引用格式

陈清华, 高伟, 苏国用, 关维娟, 秦汝祥, 季家东, 马杨斌 . 基于激光点热源非稳态传热模型测固体材料热物性参数[J]. 上海交通大学学报, 2021 , 55(4) : 471 -479 . DOI: 10.16183/j.cnki.jsjtu.2020.99.013

Abstract

Based on the laser point heat source unsteady state transfer model, a novel method to gain thermo-physical parameters of isotropic solid materials is proposed. The enantiomorphous heat-source theory is introduced to calibrate the influence of adiabatic boundary on temperature rise of the measuring points, and a mathematical model is established. The thermal conductivity and thermal diffusivity of the material are calculated by numerical solution combined with computer programming, and a thermo-physical testing system is developed. The low vacuum environment in the sample container is obtained by using a vacuum pump. The laser generator emits a laser beam to heat a corner of the sample, and the variation of temperature on the upper surface of the sample measured by the temperature sensor is monitored by the wireless signal transmitting unit. The thermophysical properties of borosilicate glass (Pyrex7740), marble, diatomite firebrick, silica brick, and zirconium brick are comprehensively tested. The results show that the relative deviation between the test values of the first four samples with a relatively low thermal conductivity and the reference value is not more than 2.76%, and the test accuracy is higher. The relative deviation between the test values of the zirconium brick with a relatively large thermal conductivity and the reference value reaches 6.38%, and the test accuracy is lower. Uncertainty analysis of the test system shows that as the thermal conductivity of the tested sample increases, the credibility between the test value and the true value decreases, indicating that the device is more suitable for solid materials with a thermal conductivity less than 3.0W/(m·K).

Key words： laser point source; non-steady state heat transfer model; enantiomorphism heat-source theory; solid material; thermo-physical property

参考文献

[1] GOMES M G, FLORES-COLEN I, DA SILVA F, et al. Thermal conductivity measurement of thermal insulating mortars with EPS and silica aerogel by steady-state and transient methods[J]. Construction and Building Materials, 2018, 172:696-705.
[2] YANG X H, LIU J. A novel method for determining the melting point, fusion latent heat, specific heat capacity and thermal conductivity of phase change materials[J]. International Journal of Heat and Mass Transfer, 2018, 127:457-468.
[3] NASEEM H, MURTHY H. A simple thermal diffusivity measurement technique for polymers and parti-culate composites[J]. International Journal of Heat and Mass Transfer, 2019, 137:968-978.
[4] ADAMCZYK W, BIALECKI R, KRUCZEK T. Measuring thermal conductivity tensor of orthotropic solid bodies[J]. Measurement, 2017, 101:93-102.
[5] ELKHOLY A, SADEK H, KEMPERS R. An improved transient plane source technique and metho-dology for measuring the thermal properties of anisotropic materials[J]. International Journal of Thermal Sciences, 2019, 135:362-374.
[6] MALHEIROS F C, FIGUEIREDO A A A, IGNACIO L H D S, et al. Estimation of thermal properties using only one surface by means of infrared thermo-graphy[J]. Applied Thermal Engineering, 2019, 157:113696.
[7] SMITH D S, LYBECK N J, WRIGHT J K, et al. Thermophysical properties of alloy 709[J]. Nuclear Engineering and Design, 2017, 322:331-335.
[8] LIAN T W, KONDO A, AKOSHIMA M, et al. Rapid thermal conductivity measurement of porous thermal insulation material by laser flash method[J]. Advanced Powder Technology, 2016, 27(3):882-885.
[9] WANG L S, GANDORFER M, SELVAM T, et al. Determination of faujasite-type zeolite thermal conductivity from measurements on porous composites by laser flash method[J]. Materials Letters, 2018, 221:322-325.
[10] 苗社强, 周永胜. 激光闪射法测量一种砂岩的高温热扩散系数和热导率[J]. 矿物岩石地球化学通报, 2017, 36(7):450-454.
[10] MIAO Sheqiang, ZHOU Yongsheng. Measuring thermal diffusivity and conductivity of sandstone at high temperatures using a laser flash method[J]. Bu-lletin of Mineralogy, Petrology and Geochemistry, 2017, 36(7):450-454.
[11] CHEN X G, WEI Y, ZHANG X P, et al. Thermophysical properties of (Sm1-xNdx)2Ce2O7 ceramic oxides[J]. Materials Science Forum, 2015, 816:271-276.
[12] ZHANG D B, ZHAO Z Y, WANG B Y, et al. Investigation of a new type of composite ceramics for thermal barrier coatings[J]. Materials and Design, 2016, 112:27-33.
[13] COMMITTEE E. Standard practice for thermal diffusivity by the flash method[S]. West Conshohocken, PA: ASTM International, 2015.
[14] 鲁绍文, 孟洁, 赵学强, 等. 高峰值功率窄脉宽宽温Nd…GdVO4激光器[J]. 中国激光, 2018, 45(4):83-88.
[14] LU Shaowen, MENG Jie, ZHAO Xueqiang, et al. Temperature insensitive Nd…GdVO4 laser with high peak power and narrow pulse width[J]. Chinese Journal of Lasers, 2018, 45(4):83-88.
[15] 陈清华, 程刚, 庞立, 等. 固体材料热物性参数智能测试系统设计与研制[J]. 宇航材料工艺, 2016, 46(2):57-62.
[15] CHEN Qinghua, CHENG Gang, PANG Li, et al. Design and development of intelligent testing system of solid material’s thermal physical properties[J]. Aerospace Materials Science and Technology, 2016, 46(2):57-62.
[16] 侯镇冰, 何绍杰, 李恕先. 固体热传导[M]. 上海: 上海科学技术出版社, 1984: 95-97.
[16] HOU Zhenbing, HE Shaojie, LI Shuxian. Solid heat conduction[M]. Shanghai: Shanghai Science and Technology Press, 1984: 95-97.
[17] 周孑民, 朱再兴, 谢东江, 等. 常功率平面热源法测试耐火材料热物性的研究[J]. 中南大学学报(自然科学版), 2011, 42(5):1467-1472.
[17] ZHOU Jiemin, ZHU Zaixing, XIE Dongjiang, et al. Thermal physical property of refractory material measured by plane heat source method with constant heat rate[J]. Journal of Central South University (Science and Technology), 2011, 42(5):1467-1472.
[18] 杨世铭, 陶文铨. 传热学[M]. 第4版. 北京: 高等教育出版社, 2006: 558.
[18] YANG Shiming, TAO Wenquan. Heat transfer[M]. 4th ed. Beijing: Higher Education Press, 2006: 558.
[19] 胡芃, 陈则韶. 量热技术和热物性测定[M]. 第2版. 合肥: 中国科学技术大学出版社, 2009: 261.
[19] HU Peng, CHEN Zeshao. Calorimetric technology and thermophysical property determination[M]. 2nd ed. Hefei: China University of science and Technology Press, 2009: 261.
[20] 马燕. 固体材料热物性参数测试不确定性研究[D]. 淮南: 安徽理工大学, 2016.
[20] MA Yan. Uncertainty research of solid material parameters in thermal and physical properties test[D]. Huainan: Anhui University of Science and Technology, 2016.
[21] 王冲. 不确定性结构温度场的数值计算及优化设计方法研究[D]. 北京: 北京航空航天大学, 2015.
[21] WANG Chong. Research on numerical analysis and optimization design of uncertain structural temperature field[D]. Beijing: Beijing University of Aeronautics and Astronautics, 2015.
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