A test-validated prediction model of thermal contact resistance for Ti-6Al-4V alloy
A test-validated prediction model of thermal contact resistance for Ti-6Al-4V alloy
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DOI：
10.1016/j.apenergy.2018.06.134
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发表时间：
2018-10
期刊：
影响因子：
11.2
通讯作者：
Yanjun Dai;J. Gou;X. Ren;Fan Bai;Wen-Zhen Fang;W. Tao
中科院分区：
文献类型：
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作者：
Yanjun Dai;J. Gou;X. Ren;Fan Bai;Wen-Zhen Fang;W. Tao
接触热阻的准确预测或测试是提高或降低两固体间热能传递效率的关键。本文提出了一种基于测量不同加载压力和不同加热温度下实际表面形貌的接触热阻预测模型。接触表面的实际形貌通过名为Bruker Contour GT-K的3D光学显微镜测量。根据显微镜下的表面形貌数据，用Python语言重构接触表面，生成数值接触模型。利用有限元软件ABAQUS对接触热阻进行了仿真。基于弹塑性本构方程和稳态热传导理论，采用序贯耦合法，利用ABAQUS对接触模型的力学和传热性能进行了有限元分析。所研究的材料对是Ti-6Al-4V-Ti-6Al-4V，具有三种不同的填隙材料，真空、空气和导电硅脂。进一步研究和分析了空气和真空环境下辐射对接触热阻的影响。此外，还研究了固体导热系数对接触热阻的影响。为了验证该方法的准确性，在相同的边界条件下，空气间隙的实验结果与ABAQUS的模拟结果进行了比较。模拟结果与实验结果的最大偏差为9.57%，75%的偏差在5%以内。提出了接触热导率与接触表面平均温度和载荷压力的关系式。结果表明，该方法在工程应用中预测接触热阻具有较高的精度。
The precise prediction or test of thermal contact resistance is a key issue on increasing or decreasing thermal energy transmission efficiency between two solids. This paper raises a thermal contact resistance prediction model based on measuring actual surface topography under different loading pressures and different heating temperatures. The actual topography of contact surfaces is measured by a 3-D optical microscope named Bruker Contour GT-K. The contact surfaces are reconstructed with language Python according to the data of surface topography from the microscope and the numerical contact model is generated. Then the thermal contact resistance simulation is implemented with software ABAQUS. Based on the elastic-plastic constitutive equations and steady state heat conduction theory, finite element analysis of mechanical and heat transfer performance of the contact model is performed with ABAQUS in the light of sequential coupling method. The studied material pairs are Ti-6Al-4V—Ti-6Al-4V with three kinds of different interstitial material e.g., vacuum, air and conductive silicone grease. The effect of radiation on thermal contact resistance under air and vacuum atmosphere is further studied and analyzed. Besides, the solid thermal conductivity on thermal contact resistance is investigated. To verify the accuracy of the method, the simulated results from ABAQUS are compared with the experimental results of air gap with the same boundary conditions. The maximum deviation between simulation results and experimental results is 9.57% while 75% of the deviations are within 5%. A correlation of thermal contact conductance with the average contact surface temperature and loading pressure is proposed. The results show that this method has high precision to predict thermal contact resistance in the engineering application.