
Experimental and CFD Analysis of GW70 based Cu Nanofluids in a Parallel Flow Heat Exchanger
Author(s) -
M. L. R. Chaitanya Lahari,
P. H. V. Sesha Talpa Sai,
K.V. Sharma,
Krithika Narayanaswamy,
P. Haseena Bee,
D. Saravanakumar
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d6587.1110421
Subject(s) - nanofluid , concentric tube heat exchanger , materials science , heat exchanger , laminar flow , heat transfer coefficient , thermodynamics , annulus (botany) , nusselt number , shell and tube heat exchanger , heat transfer , mechanics , micro heat exchanger , convective heat transfer , reynolds number , composite material , turbulence , physics
The Nusselt number, overall heat transfer, and convective heat transfer coefficients of glycerol-water-based Cu nanofluids flowing in a parallel flow double pipe heat exchanger are estimated using CFD analysis. Single-phase fluid approach technique is used in the analysis. Ansys 19.0 workbench was used to create the heat exchanger model. Heat transfer tests with nanofluids at three flow rates (680<Re<1900) are carried out in a laminar developing flow zone. For testing, a 500 mm long concentric double pipe heat exchanger with tube dimensions of ID=10.2 mm, OD= 12.7 mm, and annulus dimensions of ID=17.0 mm, OD= 19.5 mm is employed. Copper is utilized for the tube and annulus material. This study employed three-particle volume concentrations of 0.2 percent, 0.6 percent, and 1.0 percent. The mass flow rates of hot water in the tube are 0.2, 0.017, and 0.0085 kg/s, while the mass flow rates of nanofluids in the annulus are 0.03, 0.0255, and 0.017 kg/s. The average temperature of nanofluids is 36°C, whereas hot water is 58°C. In comparison to base liquid, the overall heat transfer coefficient and convective HTC of 1.0 percent copper nanofluids at 0.03 kg/s are raised by 26.2 and 46.2 percent, respectively. The experimental findings are compared to CFD values, and they are in close agreement.