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Jet impingement cooling and optimization study for a partly curved isothermal surface with CuO-water nanofluid |
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| Affiliation: | 1. College of Science, China Jiliang University, 258 Xueyuan Street, Hangzhou 310018, PR China;2. Department of Mining and Materials Engineering, McGill University, Montreal H3A 2A7, Canada;3. Department of Chemical and Biochemical Engineering, Western University, London N6A 5B9, Canada;4. College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, PR China;1. Research and Development Division, TATA Steel, Jamshedpur 831001, India;2. Department of Mechanical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India;3. Department of Mechanical Engineering, Indian Institute of Science, Bangalore 560012, India;1. Department of Chemical Engineering, Faculty of Engineering, Mahanakorn University of Technology, Bangkok 10530, Thailand;2. Department of Food Engineering, Faculty of Engineering, King Mongkut''s Institute of Technology Ladkrabang, Bangkok 10520, Thailand;3. Department of Mechanical Engineering, Faculty of Engineering, Mahanakorn University of Technology, Bangkok 10530, Thailand |
| Abstract: | Numerical and optimization study of jet impingement cooling of a partly curved surface with CuO-water nanofluid was performed with Galerkin weighted residual finite element method and COBYLA (constrained optimization by linear approximation) optimization algorithm. Target surface was partly curved which has a semi-elliptic shape and kept at constant hot temperature. Simulations were performed for various values of Reynolds number and solid particle volume fraction. It was observed that effects of curved wall on the distribution of fluid flow and heat transfer characteristics are more pronounced for higher values of Reynolds number as compared to a flat wall configuration. Highest heat transfer is obtained with curved wall and significant differences are observed between the peak values of Nusselt number between a flat wall and curved wall case. The average Nusselt number is a linear increasing function of nanoparticle volume fraction and the trends in local and average heat transfer are similar for curved wall and flat wall configurations when nanoparticles are added. Average Nusselt number enhances by about 20% at the highest particle volume fraction as compared to water. A polynomial type correlation for the average Nusselt number was derived which depends on the Reynolds number and solid particle volume fraction for both configurations. |
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