Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

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The specific heat capacity of nanofluids (CPnf) is a fundamental thermophysical property that measures the heat storage capacity of the nanofluids. CPnf is usually determined through experimental measurement. As it is known, experimental procedures are characterised with some complexities, which inc...

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Bibliographic Details
Main Authors: Ibrahim Olanrewaju Alade, Mohd Amiruddin Abd Rahman, Aliyu Bagudu, Zulkifly Abbas, Yazid Yaakob, Tawfik A. Saleh
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:Heliyon
Subjects:
Materials science
Nanotechnology
Thermodynamics
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844018377934

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