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Influence of hierarchy structure on electrical properties of gradient-distribution aluminum oxide/polyethylene nanocomposites

Influence of hierarchy structure on electrical properties of gradient-distribution aluminum oxide/polyethylene nanocomposites
Influence of hierarchy structure on electrical properties of gradient-distribution aluminum oxide/polyethylene nanocomposites
In the recent decades, the phenomena of space charge accumulation in the high voltage direct current (HVDC) insulation have attracted more and more attention. In this paper, the gradient-distribution multi-layered Al2O3/low density polyethylene (LDPE) nanocomposites were prepared via layer-by-layer melting blending and hot pressing method. Morphologies and electrical properties of these gradient-distribution structured composites were discussed. Results showed that this unique structure could largely enhance the breakdown strength of LDPE. The breakdown strength of the LDPE nanocomposites varied with nano-Al2O3 concentrations, and it could reach to 200 kV/mm for the LDPE nanocomposites. Besides, space charge of the LDPE nanocomposites was measured by pulsed electro-acoustic (PEA) method. The charge profiles indicated that space charge suppression of the gradient-distribution multi-layered composites was better than that of the monolayer ones with general mean-distribution structure. Their excellent insulating properties were attributed to the trap which exists in the surface, and that could well inhibit the charge injecting into the materials.
0266-3538
100-105
Wang, SiJiao
a59c92b6-a130-4d80-9cf9-1ecdb6c514f8
Zha, Junwei
988918c3-b4c6-4722-8dff-935625954b09
Li, Weikang
20f823d2-ea1f-4c12-b120-5550b02eefc4
Wang, Ying
fa0bde10-78d4-4557-8706-4802febdf79f
Wen, Yongqiang
2275d8e0-6d4a-4530-a427-72d5ea281400
Chen, George
3de45a9c-6c9a-4bcb-90c3-d7e26be21819
Dang, Zhimin
6ff3e294-e350-408d-8a69-1b0018876ffa
Wang, SiJiao
a59c92b6-a130-4d80-9cf9-1ecdb6c514f8
Zha, Junwei
988918c3-b4c6-4722-8dff-935625954b09
Li, Weikang
20f823d2-ea1f-4c12-b120-5550b02eefc4
Wang, Ying
fa0bde10-78d4-4557-8706-4802febdf79f
Wen, Yongqiang
2275d8e0-6d4a-4530-a427-72d5ea281400
Chen, George
3de45a9c-6c9a-4bcb-90c3-d7e26be21819
Dang, Zhimin
6ff3e294-e350-408d-8a69-1b0018876ffa

Wang, SiJiao, Zha, Junwei, Li, Weikang, Wang, Ying, Wen, Yongqiang, Chen, George and Dang, Zhimin (2016) Influence of hierarchy structure on electrical properties of gradient-distribution aluminum oxide/polyethylene nanocomposites. Composites Science and Technology, 135, 100-105. (doi:10.1016/j.compscitech.2016.09.010).

Record type: Article

Abstract

In the recent decades, the phenomena of space charge accumulation in the high voltage direct current (HVDC) insulation have attracted more and more attention. In this paper, the gradient-distribution multi-layered Al2O3/low density polyethylene (LDPE) nanocomposites were prepared via layer-by-layer melting blending and hot pressing method. Morphologies and electrical properties of these gradient-distribution structured composites were discussed. Results showed that this unique structure could largely enhance the breakdown strength of LDPE. The breakdown strength of the LDPE nanocomposites varied with nano-Al2O3 concentrations, and it could reach to 200 kV/mm for the LDPE nanocomposites. Besides, space charge of the LDPE nanocomposites was measured by pulsed electro-acoustic (PEA) method. The charge profiles indicated that space charge suppression of the gradient-distribution multi-layered composites was better than that of the monolayer ones with general mean-distribution structure. Their excellent insulating properties were attributed to the trap which exists in the surface, and that could well inhibit the charge injecting into the materials.

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Accepted/In Press date: 9 September 2016
e-pub ahead of print date: 10 September 2016
Published date: 27 October 2016
Organisations: EEE

Identifiers

Local EPrints ID: 402963
URI: http://eprints.soton.ac.uk/id/eprint/402963
ISSN: 0266-3538
PURE UUID: 0cf5d3b8-b9da-470e-b2d4-6f0bb18c545a

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Date deposited: 21 Nov 2016 11:22
Last modified: 15 Mar 2024 03:30

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Contributors

Author: SiJiao Wang
Author: Junwei Zha
Author: Weikang Li
Author: Ying Wang
Author: Yongqiang Wen
Author: George Chen
Author: Zhimin Dang

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