Experimental study for predicting the specific heat of water based Cu‐Al 2 O 3 hybrid nanofluid using artificial neural network and proposing new correlation-Reference-Cited by-同舟云学术

Experimental study for predicting the specific heat of water based Cu‐Al 2 O 3 hybrid nanofluid using artificial neural network and proposing new correlation

Published:2020-05-02 Issue:9 Volume:44 Page:7198-7215
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Çolak A. Batur¹^ORCID,Yıldız Oğuzhan¹,Bayrak Mustafa¹,Tezekici Bekir S.²

Affiliation:

1. Engineering Faculty, Department of Mechanical Engineering, Niğde Ömer Halisdemir University Niğde Turkey

2. Engineering Faculty, Department of Electric ‐ Electronic Engineering, Niğde Ömer Halisdemir University Niğde Turkey

Funder

Niğde Üniversitesi

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5417

Reference66 articles.

1. Nanofluid: Potential evaluation in automotive radiator

2. Impact of different surfactants and ultrasonication time on the stability and thermophysical properties of hybrid nanofluids

3. Heat transfer improvement of water/single-wall carbon nanotubes (SWCNT) nanofluid in a novel design of a truncated double-layered microchannel heat sink

4. Analysis of heat transfer and nanofluid fluid flow in microchannels with trapezoidal, rectangular and triangular shaped ribs

5. Experimental investigation on stability, thermal conductivity and rheological properties of rGO/ethylene glycol based nanofluids

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