期刊
WAVES IN RANDOM AND COMPLEX MEDIA
卷 -, 期 -, 页码 -出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17455030.2022.2133190
关键词
Peristalsis; entropy generation; hybrid-nanofluid; ohmic heating; Hall current
资金
- Higher Education Commission (HEC) of Pakistan [7395/Federal/NRPU/RD/HEC/2017]
This research investigates the flow of hybrid nanofluid through a symmetric channel and analyzes its influencing factors. The results of heat transmission rate are obtained through numerical and analytical methods, and the generation of entropy and temperature change of hybrid nanofluid are predicted. This study has certain practical value for improving the efficiency of thermal systems.
Improvement of high-performance thermal systems to enhance heat transfer has become quite prevalent these days. The main applications of hybrid nanofluids are found in heat exchangers, the automotive industry, solar energy, heat pipes, space, electronic cooling, nuclear systems cooling, HVAC applications, biomedicine, ships, and coolant in machining and manufacturing. Therefore, the present research investigates the generation of entropy for a peristaltic motion of hybrid nanofluid flowing through a symmetric channel under impacts of mixed convection, Hall currents, and Ohmic heating. Novel features of hybrid nanoparticles (copper and titanium oxide dispersed in water) are taken into account. Long wavelength and weaker Reynolds number assumptions are used to simplify the governing equations. Homotopy Analysis Method has been adopted to solve a non-linear system of differential equations. A comparative analysis of numerical scheme (NDSolve built-in command in Mathematica) and analytical methodology (HAM) for heat transmission rate at the boundary are also presented in tabular form. Graphical outcomes predict that entropy generation is reduced by improving the Hall parameter. Hybrid nanofluid temperature is reduced when the concentration of nanomaterials is increased. Heat transfer rates increase through an increment in hybrid nanoparticles. It is anticipated that the current flow model can be useful for enhancing the efficiency of such thermodynamic systems.
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