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Optimization,modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al2O3 nanofluids by NSGA-II using ANN
Affiliation:1. Young Researchers and Elite Club, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran;2. Department of Mechanical Engineering, University of Kashan, Iran;3. Department of Mechanical Engineering, Imam Hossein University, Tehran, Iran;4. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;5. Department of Mechanical Engineering, College of Engineering, University of Baghdad, 10071 Baghdad, Iraq;6. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;1. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. Department of Mechanical Engineering, College of Engineering, University of Baghdad, 10071 Baghdad, Iraq;3. Chemical Engineering Department, Engineering Faculty, Ferdowsi University of Mashhad, Mashhad, Iran;4. Centre for Energy Sciences, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;5. Department of Mechanical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
Abstract:In this study, multi-objective optimization of nanofluid aluminum oxide in a mixture of water and ethylene glycol (40:60) is studied. In order to reduce viscosity and increase thermal conductivity of nanofluids, NSGA-II algorithm is used to alter the temperature and volume fraction of nanoparticles. Neural network modeling of experimental data is used to obtain the values of viscosity and thermal conductivity on temperature and volume fraction of nanoparticles. In order to evaluate the optimization objective functions, neural network optimization is connected to NSGA-II algorithm and at any time assessment of the fitness function, the neural network model is called. Finally, Pareto Front and the corresponding optimum points are provided and introduced. Optimal results showed that the optimum viscosity and thermal conductivity occurs at maximum temperature.
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