Simulation of sinusoidal enclosure filled with nanoparticles enhanced PCM
Li Z. Ibrahim T.K. Selim M.M. Issakhov A. Albadarin A.B.
1 September 2021Elsevier B.V.
Journal of Molecular Liquids
2021#337
Freezing of NEPCM within a tank has been investigated by means of Galerkin approach. NEPCM is mixture of water and CuO nano-powders with fraction of 0.04. In calculation of features of NEPCM, two shapes of nano-powders were utilized. Due to time dependent process, one source term was added to energy equation. Two important features of utilized technique are automatic time step and adaptive grid. Nice agreement with experimental data was illustrated. Influences of shape factor and amplitude of adiabatic wall have been examined. Choosing Platelet powder instead of sphere can accelerate the process about 8.344% when A = 0.1. Besides, with rise of A, the freezing time grows about 44.991% when m = 3. The efficient case in term of freezing time is case with A = 0.1 and m = 5.7 in which 198.27 s needs to reach full freezing.
Galerkin , Heat release , Nano-powder , Platelet
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Yonsei Frontier Lab, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
Department of Petroleum Engineering, College of Engineering, Knowledge University, Kurdistan Region, Iraq
Department of Mathematics, Al-Aflaj College of Science and Humanities Studies, Prince Sattam bin Abdulaziz University, Al-Aflaj, 710-11912, Saudi Arabia
Department of Mathematics, Suez Faculty of Science, Suez University, Egypt
Department of Mathematical and Computer Modeling, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Department of Mathematical and Computer Modeling, Kazakh-British Technical University, Almaty, Kazakhstan
Laboratory of Theoretical and Computational Biophysics, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
Yonsei Frontier Lab
Department of Petroleum Engineering
Department of Mathematics
Department of Mathematics
Department of Mathematical and Computer Modeling
Department of Mathematical and Computer Modeling
Laboratory of Theoretical and Computational Biophysics
Faculty of Applied Sciences
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