Experimental characterization of three-dimensional Graphene’s thermoacoustic response and its theoretical modelling

In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both simulations and experiments. However, experimental validation of simulations for three-dimensional graphene (3D-C), which has a complicated 3D s...

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Published inCarbon (New York) Vol. 169; pp. 382 - 394
Main Authors Ngoh, Zhi Lin, Guiraud, Pierre, Tan, Dunlin, Giordano, Stefano, Bou-Matar, Olivier, Teo, Edwin Hang Tong, Pernod, Philippe, Coquet, Philippe, Lardat, Raphael
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.11.2020
Elsevier BV
Elsevier
Subjects
Acoustics
Carbon
Chemical synthesis
Chemical vapor deposition
Engineering Sciences
Graphene
Loudspeaker
Materials
Microstructure
Nanostructure
Nanostructured materials
Raman spectroscopy
Simulation
Temperature
Theoretical modelling
Thermoacoustics
Three dimensional models
Three-dimensional graphene (3D-C)
Theoretical modelling
Thermoacoustics
Three-dimensional graphene (3D-C)
Loudspeaker
Chemical vapor deposition
theoretical modelling
three-dimensional graphene (3D-C)
loudspeaker
chemical vapor deposition
thermoacoustics
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Abstract In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both simulations and experiments. However, experimental validation of simulations for three-dimensional graphene (3D-C), which has a complicated 3D structure, has yet to be achieved. In this paper, 3D-C is synthesized via thermal chemical vapor deposition and its microstructure and quality tested using Scanning Electron Microscopy and Raman spectroscopy respectively. Then, a two temperature model is used to predict the effects of numerous parameters: frequency, input power, sample size, connection area, connection path, pores per inch, thickness, compression as well as the addition of a backing on the acoustic performance and temperature of the sample. The experimental results presented in this paper validate the predictions of the adopted two temperature model. The efficiency of 3D-C is then compared with results presented in other studies to understand how the presented 3D-C fared against ones from the literature as well as other carbon nanostructured materials. [Display omitted]
AbstractList In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both simulations and experiments. However, experimental validation of simulations for three-dimensional graphene (3D-C), which has a complicated 3D structure, has yet to be achieved. In this paper, 3D-C is synthesized via thermal chemical vapor deposition and its microstructure and quality tested using Scanning Electron Microscopy and Raman spectroscopy respectively. Then, a two temperature model is used to predict the effects of numerous parameters: frequency, input power, sample size, connection area, connection path, pores per inch, thickness, compression as well as the addition of a backing on the acoustic performance and temperature of the sample. The experimental results presented in this paper validate the predictions of the adopted two temperature model. The efficiency of 3D-C is then compared with results presented in other studies to understand how the presented 3D-C fared against ones from the literature as well as other carbon nanostructured materials.
In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both simulations and experiments. However, experimental validation of simulations for three-dimensional graphene (3D-C), which has a complicated 3D structure, has yet to be achieved. In this paper, 3D-C is synthesized via thermal chemical vapor deposition and its microstructure and quality tested using Scanning Electron Microscopy and Raman spectroscopy respectively. Then, a two temperature model is used to predict the effects of numerous parameters: frequency, input power, sample size, connection area, connection path, pores per inch, thickness, compression as well as the addition of a backing on the acoustic performance and temperature of the sample. The experimental results presented in this paper validate the predictions of the adopted two temperature model. The efficiency of 3D-C is then compared with results presented in other studies to understand how the presented 3D-C fared against ones from the literature as well as other carbon nanostructured materials. [Display omitted]
Author Teo, Edwin Hang Tong
Lardat, Raphael
Tan, Dunlin
Pernod, Philippe
Giordano, Stefano
Coquet, Philippe
Bou-Matar, Olivier
Ngoh, Zhi Lin
Guiraud, Pierre
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  surname: Giordano
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  email: stefano.giordano@univ-lille.fr
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  surname: Pernod
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  organization: Univ. Lille, CNRS, Centrale Lille, ISEN, Univ. Valenciennes, UMR 8520–IEMN, LIA LICS/LEMAC, F-59000, Lille, France
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  surname: Coquet
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  givenname: Raphael
  surname: Lardat
  fullname: Lardat, Raphael
  organization: Thales Underwater System France, Sophia Antipolis, 525 Route des Dolines, F-06560, Valbonne, France
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Keywords Theoretical modelling
Thermoacoustics
Three-dimensional graphene (3D-C)
Loudspeaker
Chemical vapor deposition
theoretical modelling
three-dimensional graphene (3D-C)
loudspeaker
chemical vapor deposition
thermoacoustics
Language English
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Snippet In the past decade, a lot of research has been conducted on the potential of carbon nanostructured materials to emit sound via thermoacoustics through both...
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SubjectTerms Acoustics
Carbon
Chemical synthesis
Chemical vapor deposition
Engineering Sciences
Graphene
Loudspeaker
Materials
Microstructure
Nanostructure
Nanostructured materials
Raman spectroscopy
Simulation
Temperature
Theoretical modelling
Thermoacoustics
Three dimensional models
Three-dimensional graphene (3D-C)
Title Experimental characterization of three-dimensional Graphene’s thermoacoustic response and its theoretical modelling
URI https://dx.doi.org/10.1016/j.carbon.2020.06.045
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https://hal.science/hal-02947956
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