Predictive analysis of heat transfer characteristics of nanofluids in helically coiled tube heat exchanger using regression approach

Predictive analysis of heat transfer characteristics of nanofluids in helically coiled tube heat exchanger using regression approach

Nanofluids are the combination of base fluid and nanoparticles which offer higher thermal conductivity resulting higher heat transfer. In this research article, soft computing tool is used to find the accurate Nusselt number of coiled tube heat exchanger handling Al2O3/H2O nanofluids at three differ...

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Bibliographic Details
Main Authors: Peryiasamy Chokkiyee Mukesh Kumar, Balasubramanain Rajappa, Velusamy Durgadevi
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2020-01-01
Series:Thermal Science
Subjects:
nanofluids
nusselt number
neural network
heat exchanger
computational modeling
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2020/0354-98361900428P.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0354-9836/2020/0354-98361900428P.pdf

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