Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, I-03043 Cassino, FR, Italy.
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Via G. Di Biasio 43, I-03043 Cassino, FR, Italy.
Nanotechnology. 2023 Jun 6;34(34). doi: 10.1088/1361-6528/acd5da.
This paper proposes a new technique to characterize the thermal conductivity and diffusivity of thin strips made by graphene nanoplatelets (GNP). The evaluation of these parameters is essential for a reliable design of thermal and electrothermal applications of graphene and is usually performed by means of assessed but expensive techniques such as those based on Raman effects and laser flash. The technique proposed here is simpler and less demanding in terms of equipment, and combines the results of an experimental characterization of the strip heated by the Joule effect obtained with infrared camera, with those provided by an electro-thermal model. Specifically, the evaluation of the thermal conductivity and diffusivity is the result of the analysis of the transient behavior of the measured and simulated solutions. The methodology is here successfully validated by applying it to commercial graphene strips and benchmarking against the thermal parameters provided by the manufacturers. Then, a complete characterization is provided for commercial strips based on different formulations of GNP and binders such as polyurethane, epoxy resin, and boron nitride. For these materials, the values of thermal conductivity and diffusivity are found in the ranges (50-450) W mKand (0.5-3.5) × 10ms, respectively.
本文提出了一种新的技术来表征由石墨烯纳米片（GNP）制成的薄带的导热系数和扩散系数。这些参数的评估对于石墨烯的热和电热应用的可靠设计至关重要，通常通过评估但昂贵的技术来进行，例如基于拉曼效应和激光闪光的技术。这里提出的技术在设备方面更简单且要求更低，它将通过红外摄像机加热的条带的焦耳效应的实验特性化的结果与电热模型提供的结果相结合。具体而言，导热系数和扩散系数的评估是测量和模拟解的瞬态行为分析的结果。该方法通过将其应用于商业石墨烯条带并与制造商提供的热参数进行基准测试，成功得到验证。然后，根据不同的 GNP 配方和粘结剂（如聚氨酯、环氧树脂和氮化硼）对商业条带进行了完整的特性化。对于这些材料，导热系数和扩散系数的值分别在（50-450）W mK 和（0.5-3.5）×10ms 范围内。
