INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Accurate determination of anisotropic thermal conductivity for ultrathin composite film |
Qiu-Hao Zhu(朱秋毫)1,2, Jing-Song Peng(彭景凇)3, Xiao Guo(郭潇)1,2,4, Ru-Xuan Zhang(张如轩)1, Lei Jiang(江雷)3, Qun-Feng Cheng(程群峰)3,†, and Wen-Jie Liang(梁文杰)1,2,4,‡ |
1. Beijing National Center for Condensed Matter Physics, Beijing Key Laboratory for Nanomaterials and Nanodevices, Institute of Physics, Chinese Academy of Sciences (CAS), Beijing 100190, China; 2. CAS Center of Excellence in Topological Quantum Computation and School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China; 3. School of Chemistry, Key Laboratory of Bio-inspired Smart Interfacial Science and Technology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China; 4. Songshan Lake Materials Laboratory, Dongguan 523808, China |
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Abstract Highly anisotropic thermal conductive materials are of significance in thermal management applications. However, accurate determination of ultrathin composite thermal properties is a daunting task due to the tiny thermal conductance, severely hindering the further exploration of novel efficient thermal management materials, especially for size-confined environments. In this work, by utilizing a hybrid measuring method, we demonstrate an accurate determination of thermal properties for montmorillonite/reduced graphene oxide (MMT/rGO) composite film with a thickness range from 0.2 μ m to 2 μ m. The in-plane thermal conductivity measurement is realized by one-dimensional (1D) steady-state heat conduction approach while the cross-plane one is achieved via a modified 3ω method. As-measured thermal conductivity results are cross-checked with different methods and known materials, revealing the high measurement accuracy. A high anisotropic ratio of 60.5, independent of composite thickness, is observed in our measurements, further ensuring the negligible measurement error. Notably, our work develops an effective approach to the determination of ultrathin composite thermal conductivity, which may promote the development of ultrathin composites for potential thermal-related applications.
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Received: 18 March 2022
Revised: 30 April 2022
Accepted manuscript online:
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PACS:
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81.70.-q
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(Methods of materials testing and analysis)
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68.65.Ac
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(Multilayers)
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81.05.U-
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(Carbon/carbon-based materials)
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65.40.G-
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(Other thermodynamical quantities)
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Fund: Project supported by the National Basic Research Program of China (Grant No. 2016YFA0200800), the Strategic Priority Research Program of Chinese Academy of Sciences (Grant Nos. XDB30000000 and XDB07030100), the Sinopec Innovation Scheme (A-527), the National Key Research and Development Program of China (Grant No. 2021YFA0715700), and the National Science Fund for Distinguished Young Scholars, China (Grant No. 52125302). |
Corresponding Authors:
Qun-Feng Cheng, Wen-Jie Liang
E-mail: cheng@buaa.edu.cn;wjliang@iphy.ac.cn
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Cite this article:
Qiu-Hao Zhu(朱秋毫), Jing-Song Peng(彭景凇), Xiao Guo(郭潇), Ru-Xuan Zhang(张如轩), Lei Jiang(江雷), Qun-Feng Cheng(程群峰), and Wen-Jie Liang(梁文杰) Accurate determination of anisotropic thermal conductivity for ultrathin composite film 2022 Chin. Phys. B 31 108102
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[1] Ball P 2012 Nature 492 174 [2] Chu S and Majumdar A 2012 Nature 488 294 [3] Prasher R 2006 Proc. IEEE 94 1571 [4] Renteria J D, Ramirez S, Malekpour H, Alonso B, Centeno A, Zurutuza A, Cocemasov A I, Nika D L and Balandin A A 2015 Adv. Funct. Mater. 25 4664 [5] Yang W, Zhao Z, Wu K, Huang R, Liu T, Jiang H, Chen F and Fu Q 2017 J. Mater. Chem. C 5 3748 [6] Ma M, Xu L, Qiao L, Chen S, Shi Y, He H and Wang X 2020 Chem. Eng. J. 392 123714 [7] Pan T W, Kuo W S and Tai N H 2017 Compos. Sci. Technol. 151 44 [8] Hu D, Gong W, Di J, Li D, Li R, Lu W, Gu B, Sun B and Li Q 2017 Carbon 118 659 [9] Zhao D, Qian X, Gu X, Jajja S A and Yang R 2016 J. Electron. Packag. 138 040802 [10] Yan H, Yan J and Zhao G 2019 Chin. Phys. B 28 114401 [11] Chen Q, Yan X, Wu L, Xiao Y, Wang S, Cheng G, Zheng R and Hao Q 2021 ACS Appl. Mater. Interfaces 13 5435 [12] Li Q, Ma W and Zhang X 2016 Int. J. Heat Mass Transfer 95 956 [13] Liu J, Wang H, Hu Y, Ma W and Zhang X 2015 Rev. Sci. Instrum. 86 014901 [14] Lee B, Lee J S, Kim S U, Kim K, Kwon O, Lee S, Kim J H and Lim D S 2009 J. Vac. Sci. Technol. B 27 2408 [15] Zhang Y F, Wang L, Heiderhoff R, Geinzer A, Wei B, Ji Y, Han X D, Balk L and Zhang Z 2012 Chin. Phys. B 21 016501 [16] Xu X, Pereira L F, Wang Y, Wu J, Zhang K, Zhao X, Bae S, Tinh Bui C, Xie R and Thong J T 2014 Nat. Commun. 5 3689 [17] Smith B, Vermeersch B, Carrete J, Ou E, Kim J, Mingo N, Akinwande D and Shi L 2017 Adv. Mater. 29 1603756 [18] Takahashi C, Shirai T and Fuji M 2013 Mater. Chem. Phys. 141 657 [19] Stobinski L, Lesiak B, Malolepszy A, Mazurkiewicz M, Mierzwa B, Zemek J, Jiricek P and Bieloshapka I 2014 J. Electron Spectrosc. Relat. Phenom. 195 145 [20] Yu X, Zhang B, Zhao S, Kao Z, Yang S and Liu X 2018 ECS J. Solid State Sci. Technol. 7 M153 [21] Hsieh C T, Lee C E, Chen Y F, Chang J K and Teng H S 2015 Nanoscale 7 18663 [22] Xu Y, Kraemer D, Song B, Jiang Z, Zhou J, Loomis J, Wang J, Li M, Ghasemi H, Huang X, Li X and Chen G 2019 Nat. Commun. 10 1771 [23] Zhuang Y, Zheng K, Cao X, Fan Q, Ye G, Lu J, Zhang J and Ma Y 2020 ACS Nano 14 11733 [24] Li L, Cao Y, Liu X, Wang J, Yang Y and Wang W 2020 ACS Appl. Mater. Interfaces 12 27350 [25] Song N, Jiao D, Cui S, Hou X, Ding P and Shi L 2017 ACS Appl. Mater. Interfaces 9 2924 [26] Song N, Jiao D, Ding P, Cui S, Tang S and Shi L 2016 J. Mater. Chem. C 4 305 [27] Tian X, Itkis M E, Bekyarova E B and Haddon R C 2013 Sci. Rep. 3 1710 [28] Qiu L, Zheng X, Yue P, Zhu J, Tang D, Dong Y and Peng Y 2015 Int. J. Therm. Sci. 89 185 [29] Zheng X, Yue P, Li S, Wang L, Yang X and Chen H 2018 Rev. Sci. Instrum. 89 084904 [30] Yamane T, Nagai N, Katayama S I and Todoki M 2002 J. Appl. Phys. 91 9772 [31] Lee S M and Cahill D G 1997 J. Appl. Phys. 81 2590 [32] Tiwari A, Boussois K, Ali B N, Smith D S and Blanchart P 2013 AIP Adv. 3 112129 [33] Gong J, Liu Z, Yu J, Dai D, Dai W, Du S, Li C, Jiang N, Zhan Z and Lin C T 2016 Composites Part A 87 290 [34] Ding P, Zhang J, Song N, Tang S, Liu Y and Shi L 2015 Compos. Sci. Technol. 109 25 |
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