Comparison of Experimental Measurements of Thermal Conductivity of Fe{sub 2}O{sub 3} Nanofluids Against Standard Theoretical Models and Artificial Neural Network Approach

Journal Article · Thu Aug 15 04:00:00 UTC 2019 · Journal of Materials Engineering and Performance

DOI:https://doi.org/10.1007/S11665-019-04202-Z· OSTI ID:22970583

Agarwal, Ravi ^[1]; Verma, Kamalesh ^[2]; Agrawal, Narendra Kumar ^[3]; Singh, Ramvir ^[2]

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1. University of Rajasthan, Centre for Converging Technologies (India)
2. University of Rajasthan, Department of Physics (India)
3. Poddar International College, Department of Physics (India)

In the present work, the practicability of Fe{sub 2}O{sub 3} nanofluids for heat transfer applications has been examined. Nanofluids performance, in terms of modulation of thermal conductivity, has been investigated with increasing concentration of Fe{sub 2}O{sub 3} nanoparticles in water and ethylene glycol base fluids at 10, 20, 30, 40, 50, 60 and 70 °C. Fe{sub 2}O{sub 3} nanoparticles have been synthesized using the wet chemical method and characterized using TEM, SEM, XRD and UV–Vis. The characterization results revealed a face-centered cubic structure having alpha phase and particle size in the range of 40-55 nm for the synthesized Fe{sub 2}O{sub 3} nanoparticles. Thermal conductivity measurement results show increases in thermal conductivity with the increase in concentration and temperature of nanofluids. 16.45 and 19.76% enhancement in thermal conductivity have been observed for Fe{sub 2}O{sub 3}–water and Fe{sub 2}O{sub 3}–ethylene glycol nanofluids of 2 vol.% at 70 °C compared to water and ethylene glycol base fluids at 10 °C, respectively. Results of the ANN approach are in good agreement with experimental results, and H–C model gives better predictions compared to other standard models. The study gives clear insights into improved heat transfer performance by material engineering.

• OSTI ID: 22970583
• Journal Information: Journal of Materials Engineering and Performance, Journal Name: Journal of Materials Engineering and Performance Journal Issue: 8 Vol. 28; ISSN 1059-9495; ISSN JMEPEG
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
77 NANOSCIENCE AND NANOTECHNOLOGY
ELECTRIC CONDUCTIVITY
ETHYLENE GLYCOLS
FCC LATTICES
FERRITES
HEAT TRANSFER
IRON OXIDES
NANOFLUIDS
NANOPARTICLES
NEURAL NETWORKS
PARTICLE SIZE
SCANNING ELECTRON MICROSCOPY
STANDARD MODEL
THERMAL CONDUCTIVITY
X-RAY DIFFRACTION