4.7 Article

Price-performance evaluation of thermal conductivity enhancement of nanofluids with different particle sizes

Journal

APPLIED THERMAL ENGINEERING
Volume 128, Issue -, Pages 373-380

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2017.08.143

Keywords

Heat transfer; Nanofluid; Thermal conductivity; Price-performance analysis; Artificial neural network; Modeling

Ask authors/readers for more resources

The nanofluid's thermal conductivity has been one of the most fascinating topics for researchers in this field. So far, a large number of aqueous, non-aqueous and also oleic nanofluids are experimentally studied. These nanofluids have been investigated with different volume fractions, various particle sizes and different production methods. But, the question,seems to be very important now is that among available nanofluids, which one can meet our needs better? What particle sizes will work best for a chosen nanoparticle? Whether pure experimental measuring is reliable for using a nanofluid in the industry or not? Two nanofluids of Fe and MgO in Ethylene Glycol base-fluid with various particle sizes have been probed in this research, and the preparation cost of these nanofluids is compared with their thermal performance and proportionate responses are given to above questions. As well, a correlation is provided in order to measure thermal conductivity of nanofluids in terms of thermal conductivity, particle size, temperature and volume fraction of nanoparticles, and the data were compared with the result obtained from a neural network modeling. (C) 2017 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available