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Enhancement of Thermal Conductivity of Polyvinyl Alcohol Membrane Using Nano-fiber

Published online by Cambridge University Press:  10 August 2017

Xiandong Chen
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Meng An
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Rulei Guo
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Ni Tang
Affiliation:
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Innovation Institute, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Zhan Peng
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Hao Feng
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Xiaobo Li
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Jianfeng Zang*
Affiliation:
School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Innovation Institute, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
Nuo Yang*
Affiliation:
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China Nano Interface Center of Energy (NICE), School of Energy and Power Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, People’s Republic of China
*
*Corresponding authors: N.Y. ([email protected]) J. F. Z. ([email protected])
*Corresponding authors: N.Y. ([email protected]) J. F. Z. ([email protected])
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Abstract

The thermal properties of organic membranes attract much attention due to the fact that heat dissipation in electronic devices limits their functionality and reliability. Here, we enhance the thermal conductivity of polyvinyl alcohol (PVA) membrane using nano-fibers fabricated by electrospinning. Measured by the 3-Omega method, the results show that the effective thermal conductivity of the electrospinning membranes (with/without Cu nanoparticles) are as high as 0.7 W/m-K at room temperature which is as twice as the value of thermal conductivity of amorphous spin-coated PVA membrane (0.35 W/m-K). The mechanism of enhancement are that, compared with amorphous membrane, the phonon scattering is attenuated and the crystallinity is improved in the electrospinning process. Our studies bring new insights in designing new kind of membrane with high thermal conductivity.

Type
Articles
Copyright
Copyright © Materials Research Society 2017 

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Footnotes

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Xiandong Chen and Meng An contributed equally to this work.

References

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