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Modelling the Impact of Graphene Coating of Different Thicknesses on Polyimide Substrate on the Secondary Electron Yield
Polyimide material is widely used in the aerospace field, but its secondary electron emission yield is high. In this study, a graphene coating was used to suppress its secondary electron emission, and the secondary electron emission yield of graphene-coated materials with different thicknesses was c...
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Published in: | Coatings (Basel) 2024-01, Vol.14 (1), p.13 |
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description | Polyimide material is widely used in the aerospace field, but its secondary electron emission yield is high. In this study, a graphene coating was used to suppress its secondary electron emission, and the secondary electron emission yield of graphene-coated materials with different thicknesses was calculated using the GEANT4 numerical simulation method. The suppression effect of different thicknesses of graphene coatings on the secondary electron emission was analyzed. The simulation results showed that the optimal graphene coating thicknesses for the lowest secondary electron yield of polyimide materials were 1 nm and 5 nm, which reduced the secondary electron emission yield by 13% in terms of simulation. The 5 nm graphene coating reduced the secondary electron emission yield by 6% compared to the polyimide material from an experimental perspective. The 5 nm coating showed better results at higher energies and was experimentally verified by preparing five layers of graphene coating, which showed good agreement between the simulation and experiment. Meanwhile, with the increase in graphene coating thickness, the surface secondary electron emission displacement range decreased, and the secondary electrons produced at the surface were of low energy. The results of this study can provide technical reference for polyimide in aerospace applications and secondary electron emission simulation. |
doi_str_mv | 10.3390/coatings14010013 |
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In this study, a graphene coating was used to suppress its secondary electron emission, and the secondary electron emission yield of graphene-coated materials with different thicknesses was calculated using the GEANT4 numerical simulation method. The suppression effect of different thicknesses of graphene coatings on the secondary electron emission was analyzed. The simulation results showed that the optimal graphene coating thicknesses for the lowest secondary electron yield of polyimide materials were 1 nm and 5 nm, which reduced the secondary electron emission yield by 13% in terms of simulation. The 5 nm graphene coating reduced the secondary electron emission yield by 6% compared to the polyimide material from an experimental perspective. The 5 nm coating showed better results at higher energies and was experimentally verified by preparing five layers of graphene coating, which showed good agreement between the simulation and experiment. Meanwhile, with the increase in graphene coating thickness, the surface secondary electron emission displacement range decreased, and the secondary electrons produced at the surface were of low energy. The results of this study can provide technical reference for polyimide in aerospace applications and secondary electron emission simulation.</description><identifier>ISSN: 2079-6412</identifier><identifier>EISSN: 2079-6412</identifier><identifier>DOI: 10.3390/coatings14010013</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Coatings ; Electric waves ; Electromagnetic radiation ; Electromagnetic waves ; Electron emission ; Electrons ; Emission analysis ; Energy ; Graphene ; Graphite ; Mathematical models ; Monte Carlo simulation ; Numerical analysis ; Physics ; Simulation ; Simulation methods ; Substrates ; Thickness ; Thin films</subject><ispartof>Coatings (Basel), 2024-01, Vol.14 (1), p.13</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. 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The results of this study can provide technical reference for polyimide in aerospace applications and secondary electron emission simulation.</description><subject>Analysis</subject><subject>Coatings</subject><subject>Electric waves</subject><subject>Electromagnetic radiation</subject><subject>Electromagnetic waves</subject><subject>Electron emission</subject><subject>Electrons</subject><subject>Emission analysis</subject><subject>Energy</subject><subject>Graphene</subject><subject>Graphite</subject><subject>Mathematical models</subject><subject>Monte Carlo simulation</subject><subject>Numerical analysis</subject><subject>Physics</subject><subject>Simulation</subject><subject>Simulation methods</subject><subject>Substrates</subject><subject>Thickness</subject><subject>Thin films</subject><issn>2079-6412</issn><issn>2079-6412</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdUcFKAzEQXUTBUnv3GPDcmmySzeZYatVCRaH14GlJs5M2dXezJinYvzelHsSZwwxv5r3hMVl2S_CEUonvtVPRdttAGCYYE3qRDXIs5LhgJL_8019noxD2OIUktCRykH2_uBqaJpFR3AFatL3SETmDnrzqd9ABmp21T9iDNQY8dBGtd1Z_dhACBOQ69Oaao21tDWh12IToVYQTfFJcgXZdrfwRzRvQ0Sf4w0JT32RXRjUBRr91mL0_ztez5_Hy9Wkxmy7HmvI8jpVkZmMU50oYJgUvcF6ajQZmVF5wKVlZlNIoo5gwaQRFmgqKRUFMyQsKdJjdnXV7774OEGK1dwffpZNVLknJGeZYpK3JeWurGqhsZ1wyoVPW0NpkAIxN-FSUuBSUU5YI-EzQ3oXgwVS9t22yWRFcnX5S_f8J_QGBaYGA</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Qi, Xin</creator><creator>Ma, Yanzhao</creator><creator>Liu, Sisheng</creator><creator>Nie, Xiangyu</creator><creator>Zhang, Tao</creator><creator>Wu, Yong</creator><creator>Peng, Weiping</creator><creator>Hu, Guoming</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0009-0005-3742-5138</orcidid></search><sort><creationdate>20240101</creationdate><title>Modelling the Impact of Graphene Coating of Different Thicknesses on Polyimide Substrate on the Secondary Electron Yield</title><author>Qi, Xin ; 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In this study, a graphene coating was used to suppress its secondary electron emission, and the secondary electron emission yield of graphene-coated materials with different thicknesses was calculated using the GEANT4 numerical simulation method. The suppression effect of different thicknesses of graphene coatings on the secondary electron emission was analyzed. The simulation results showed that the optimal graphene coating thicknesses for the lowest secondary electron yield of polyimide materials were 1 nm and 5 nm, which reduced the secondary electron emission yield by 13% in terms of simulation. The 5 nm graphene coating reduced the secondary electron emission yield by 6% compared to the polyimide material from an experimental perspective. The 5 nm coating showed better results at higher energies and was experimentally verified by preparing five layers of graphene coating, which showed good agreement between the simulation and experiment. 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subjects | Analysis Coatings Electric waves Electromagnetic radiation Electromagnetic waves Electron emission Electrons Emission analysis Energy Graphene Graphite Mathematical models Monte Carlo simulation Numerical analysis Physics Simulation Simulation methods Substrates Thickness Thin films |
title | Modelling the Impact of Graphene Coating of Different Thicknesses on Polyimide Substrate on the Secondary Electron Yield |
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