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DimensionsSenthilkumar, A. and Anderson, A. and Arunkumar, G. and Prakash S., Surya and Raj K., Nishanth (2023) Improving the R600a vapour compression refrigeration system’s energy efficiency employing graphene oxide nanoparticles to retrofit R134a refrigerator using fuzzy logic prediction. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In R600a refrigerator many parameters focussed to improve the efficiency in that energy demand is a crucial consideration. This system employs a new approach of adopting nanolubncants to address that challenge and waste less energy. Experiments were conducted with focus on factors such as cooling capacity, compressor power consumption and Coefficient of perfonnance. This research is centred on graphene oxide nanolubncants with varied concentrations. In R600a with graphene nanolubncants vapour compression refrigeration system resulted in a 38% Coefficient of Perfonnance enhancement, cooling capacity is improved and less utilization of compressor power. The fuzzy logic prediction values for COP are obtained using MATLAB. © 2023 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Engineering > Mechanical Engineering |
| Divisions: | Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Mechanical Engineering |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 01 Dec 2025 04:31 |
| URI: | https://vmuir.mosys.org/id/eprint/2349 |
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