Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection

D-shaped optical fiber sensor coated with graphene layer are simulated to observe the enhancement of evanescent field and electric field distribution. The simulation was conducted by using COMSOL Multiphysics where the analyte medium surrounding graphene coated D-shaped are presume petrochemical wit...

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Main Authors: Azzahari, N., Sapingi, H. H. J., Ambran, S., Razali, N. M., Ling, O. W.
Format: Conference or Workshop Item
Published: 2023
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Online Access:http://eprints.utm.my/107687/
http://dx.doi.org/10.1109/SENNANO57767.2023.10352563
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spelling my.utm.1076872024-09-25T07:52:56Z http://eprints.utm.my/107687/ Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection Azzahari, N. Sapingi, H. H. J. Ambran, S. Razali, N. M. Ling, O. W. T Technology (General) D-shaped optical fiber sensor coated with graphene layer are simulated to observe the enhancement of evanescent field and electric field distribution. The simulation was conducted by using COMSOL Multiphysics where the analyte medium surrounding graphene coated D-shaped are presume petrochemical with 1.40-1.50 RIU. Graphene coated layers have been implemented on the sensing region of d-shaped Optical Fiber Sensor to enhance the sensitivity and selectivity of the sensor performance. The simulated thickness of graphene coating is set to 14µm. We will observe the transmission of light attenuation in the core of Graphene coated D-shaped Optical Fiber Sensor and the Mode Field Diameter where the penetration depth of the sensor will be observed. 2023 Conference or Workshop Item PeerReviewed Azzahari, N. and Sapingi, H. H. J. and Ambran, S. and Razali, N. M. and Ling, O. W. (2023) Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection. In: 2023 IEEE International Conference on Sensors and Nanotechnology (SENNANO), 26 September 2023-27 September 2023, Putrajaya, Malaysia. http://dx.doi.org/10.1109/SENNANO57767.2023.10352563
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Azzahari, N.
Sapingi, H. H. J.
Ambran, S.
Razali, N. M.
Ling, O. W.
Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
description D-shaped optical fiber sensor coated with graphene layer are simulated to observe the enhancement of evanescent field and electric field distribution. The simulation was conducted by using COMSOL Multiphysics where the analyte medium surrounding graphene coated D-shaped are presume petrochemical with 1.40-1.50 RIU. Graphene coated layers have been implemented on the sensing region of d-shaped Optical Fiber Sensor to enhance the sensitivity and selectivity of the sensor performance. The simulated thickness of graphene coating is set to 14µm. We will observe the transmission of light attenuation in the core of Graphene coated D-shaped Optical Fiber Sensor and the Mode Field Diameter where the penetration depth of the sensor will be observed.
format Conference or Workshop Item
author Azzahari, N.
Sapingi, H. H. J.
Ambran, S.
Razali, N. M.
Ling, O. W.
author_facet Azzahari, N.
Sapingi, H. H. J.
Ambran, S.
Razali, N. M.
Ling, O. W.
author_sort Azzahari, N.
title Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
title_short Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
title_full Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
title_fullStr Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
title_full_unstemmed Simulation of graphene coated D-shaped optical fiber sensor for petrochemical detection
title_sort simulation of graphene coated d-shaped optical fiber sensor for petrochemical detection
publishDate 2023
url http://eprints.utm.my/107687/
http://dx.doi.org/10.1109/SENNANO57767.2023.10352563
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score 13.214268