Dataset and ANN model prediction of performance of graphene nanolubricant with R600a in domestic refrigerator system

This work evaluated the steady state performance of R600a in the base lubricant and graphene nanolubricant. The measuring instruments required and their uncertainties were provided, step by step method and procedures for preparation of graphene nanolubricant concentration and substituting it with th...

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Detalles Bibliográficos
Autores principales: Babarinde, T.O., Akinlabi, S.A., Madyira, D.M., Ekundayo, F.M., Adedeji, P.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Energy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451762/
https://www.ncbi.nlm.nih.gov/pubmed/32904096
http://dx.doi.org/10.1016/j.dib.2020.106098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451762/
https://www.ncbi.nlm.nih.gov/pubmed/32904096
http://dx.doi.org/10.1016/j.dib.2020.106098

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