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

• Main Authors: Olanrewaju, Alade A., Abd Rahman, Mohd Amiruddin, Aliyu, Bagudu, Abbas, Zulkifly, Yaakob, Yazid, A. Saleh, Tawfik
• Format: Article
• Language: English
• Published: Elsevier 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/81145/1/glycol.pdf; http://psasir.upm.edu.my/id/eprint/81145/; https://www.sciencedirect.com/science/article/pii/S2405844018377934#!
• Institution: Universiti Putra Malaysia

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