Thermal conductivity determination in Fe78Si9B13/GNP/Epoxy composites by observation of samples and use of ad-hoc software: a new approximation methodology
This study investigated the thermal conductivity (k) of composites composed of Fe78Si9B13 microparticles (weight fractions: 10%, 15%, and 25%) and graphene nanoplatelets (GNP) (weight fractions: 0%, 1.0%, and 1.5%) embedded in a transparent epoxy matrix. Nine cylindrical samples (7 mm diameter and 2...
- Autores:
-
Pagnola, Marcelo Ruben
Useche, Jairo
Faig, Javier
Martinez García, Ricardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/14205
- Acceso en línea:
- https://doi.org/10.32397/tesea.vol6.n2.902
- Palabra clave:
- Thermal conductivity
Thermal diffusivity
porosity
epoxy
composite
Graphene Nanoplatelets
Magnetic particles
- Rights
- openAccess
- License
- Marcelo Ruben Pagnola, Jairo Useche, Javier Faig, Ricardo Martinez García - 2025
| Summary: | This study investigated the thermal conductivity (k) of composites composed of Fe78Si9B13 microparticles (weight fractions: 10%, 15%, and 25%) and graphene nanoplatelets (GNP) (weight fractions: 0%, 1.0%, and 1.5%) embedded in a transparent epoxy matrix. Nine cylindrical samples (7 mm diameter and 2 mm length) were prepared. Thermal conductivity was determined by measuring the thermal diffusivity using the flash technique and applying the relevant relationship between the two parameters. Because some samples contained pores, the measured diffusivity was corrected for porosity by using a novel method developed by the authors. This method allowed the estimation of the composite percentage porosity based on the Young's modulus (E) of the sample. This correction eliminates the influence of porosity on the calculated diffusivity value, allowing determination of the intrinsic diffusivity of the composite material. Finally, each sample's thermal conductivity was calculated using the diffusivity values. The values of the estimated parameters were compared with those determined by other well-known and established methods, and practically the same results were obtained. These comparative calculations demonstrated the efficiency of the proposed method. The results demonstrate the effectiveness of this method in correcting the effects of porosity on the thermal conductivity measurements in the studied samples. |
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