Dataset of experimental and adaptive neuro-fuzzy inference system (ANFIS) model prediction of R600a/MWCNT nanolubricant in a vapour compression system

Dataset of experimental and adaptive neuro-fuzzy inference system (ANFIS) model prediction of R600a/MWCNT nanolubricant in a vapour compression system

This research paper assessed the performance of R600a with the base lubricant and Multi-walled Carbon Nanotube (MWCNT) nanolubricant at steady state. It describes the instruments required for measurement of the data parameter and its uncertainties, steps involved in preparing and replacing the MWCNT...

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Bibliographic Details
Main Authors: T.O. Babarinde, S.A. Akinlabi, D.M. Madyira, F.M. Ekundayo, P.A. Adedeji
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Data in Brief
Subjects:
R600a
Experimental data
Power consumption
MWCNT nanolubricant
COP
Cooling capacity
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920312105

Internet

http://www.sciencedirect.com/science/article/pii/S2352340920312105

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