Entropy optimization and heat transfer modeling for Lorentz forces effect on solidification of NEPCM

被引:31
作者
Shah, Zahir [1 ]
Hajizadeh, Mohammed Reza [2 ,3 ]
Ikramullah [4 ]
Alreshidi, Nasser Aedh [5 ]
Deebani, Wejdan [6 ]
Shutaywi, Meshal [6 ]
机构
[1] King Mongkuts Univ Technol Thonburi KMUTT, Fac Sci, Ctr Excellence Theoret & Computat Sci TaCS CoE, Sci Lab Bldg,126 Pracha Uthit Rd, Bangkok 10140, Thailand
[2] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[3] Duy Tan Univ, Fac Environm & Chem Engn, Da Nang 550000, Vietnam
[4] Kohat Univ Sci & Technol, Dept Phys, Kohat 26000, Khyber Pakhtunk, Pakistan
[5] Northern Border Univ, Coll Sci, Dept Math, Ar Ar 73222, Saudi Arabia
[6] King Abdulaziz Univ, Dept Math, Coll Sci & Arts, POB 344, Rabigh 21911, Saudi Arabia
关键词
CuO nanoparticles; Entropy generation; PCM; NEPCM (nano enhanced phase change material); LHTESS; FEM; Bejan number (Be); ROTATING POROUS DISK; NANOFLUID FLOW; PCM SOLIDIFICATION; TRANSFER BEHAVIOR; MAGNETIC-FIELD; NANOPARTICLES; GENERATION; MHD; ENCLOSURE; SYSTEM;
D O I
10.1016/j.icheatmasstransfer.2020.104715
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this research work, we study the solidification of nanoparticles-enhanced phase change material (NEPCM) in a latent heat thermal energy storage system (LHTESS) in the existence of magnetic field through entropy optimization. The Finite element method (FEM) is applied for solving the developed equations. Koo-Kleinstreuer-Li model is used to model the nanoparticles characteristics. The impacts of varying strength of magnetic field and buoyancy forces on solidification are examined. It is obtained that the rising Lorentz force due to augmenting Hartmann number enhances the solidification rate of NEPCM, while the enhancing buoyancy forces mitigates this rate of solidification. The Bejan number (Be) augments with the higher Lorentz forces while drops with the augmenting Buoyancy forces. The entropy generations due to the frictional forces and the applied B-field augment with the rising buoyancy forces while depreciate with the rising Hartmann number. The agreement between our and already published work confirms the accuracy of the applied computational technique. The results of this research work have potential applications in modeling the efficient thermal energy transfer systems by using nanofluids.
引用
收藏
页数:13
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