Journal
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
Volume 98, Issue 11, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jics.2021.100200
Keywords
Hybrid nanofluid; Shell and tube heat exchanger; Nusselt number; Pressure drop; ANSYS Fluent
Categories
Funding
- Science and Engineering Research Board, Science and Technology department, Government of India. (SERB, DST, GoI) [EEQ/2017/000152]
- DST, Visvesvaraya National Institute of Technology, Nagpur
- Ministry of Human-Resource Development (MHRD), Delhi, India
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This study investigates the heat transfer performance and optimization of CuO-ZnO (80:20)/water hybrid nanofluid in a shell and tube heat exchanger, showing improved heat transfer efficiency at different Reynolds numbers. The hybrid nanofluid demonstrates significant enhancements in convective heat transfer coefficient and pressure drop, with minimal changes in thermal conductivity after multiple trials. The ANSYS Fluent simulation results align well with experimental values, highlighting the potential of hybrid nanofluids in enhancing heat transfer processes.
For the first time, the heat transfer performance of a CuO-ZnO (80:20)/water hybrid has been studied experimentally and numerically in a shell and tube heat exchanger under turbulent flow conditions nanofluid (STHE). All experiments are carried out with 0.01 vol% CuO-ZnO (80:20)/water hybrid nanofluid at Reynolds numbers (NRe) ranging from 1900 to 17,500. The stabilized hybrid nanofluids (30 degrees C-Tube side) are then used as a coolant to reduce the hot fluid (60 degrees C-shell side) temperature using a STHE, with the results for the convective heat transfer coefficient, Nusselt number, friction factor, and pressure drop reported. The primary goal of this paper is to investigate the impact of hybrid nanoparticle mixing ratio optimization on STHE heat transfer efficiency under various operating conditions. According to the findings, the CuO-ZnO (80:20)/water hybrid nanofluid improved the heat transfer performance of the STHE at all Reynolds numbers. When using nanofluid over water, the Nusselt number and pressure drop were improved by approximately 33% and 13%, respectively. The hybrid nanofluid's maximum thermal performance factor and thermal efficiency enhancement were 1.45 and 7%, respectively, at N-Re = 17,500. According to the study, the thermal conductivity of nanofluid varies by only 5% after ten trials. Furthermore, the ANSYS Fluent program was used to predict the behavior of the hybrid nanofluid in STHE, and the simulation results fit the experimental values very well.
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