scholarly journals Experimental and numerical investigation on thermal performance enhancement of phase change material embedding porous metal structure with cubic cell

2020 ◽  
Vol 175 ◽  
pp. 115337 ◽  
Author(s):  
Xusheng Hu ◽  
Xiaolu Gong
Computation ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 3
Author(s):  
Riheb Mabrouk ◽  
Hassane Naji ◽  
Hacen Dhahri ◽  
Zouhir Younsi

In this investigation, a comprehensive numerical analysis of the flow involved in an open-ended straight channel fully filled with a porous metal foam saturated and a phase change material (paraffin) has been performed using a single relaxation time lattice Boltzmann method (SRT-LBM) at the representative elementary volume (REV) scale. The enthalpy-based approach with three density functions has been employed to cope with the governing equations under the local thermal non-equilibrium (LTNE) condition. The in-house code has been validated through a comparison with a previous case in literature. The pore per inch density (10≤PPI≤60) and porosity (0.7≤ε≤0.9) effects of the metal structure were analyzed during melting/solidifying phenomena at two Reynolds numbers (Re = 200 and 400). The relevant findings are discussed for the LTNE intensity and the entropy generation rate (Ns). Through the simulations, the LTNE hypothesis turned out to be secure and valid. In addition, it is maximum for small PPI value (=10) whatever the parameters deemed. On the other hand, high porosity (=0.9) is advised to reduce the system’s irreversibility. However, at a moderate Re (=200), a small PPI (=10) would be appropriate to mitigate the system irreversibility during the charging case, while a large value (PPI = 60) might be advised for the discharging case. In this context, it can be stated that during the melting period, low porosity (=0.7) with low PPI (=10) improves thermal performance, reduces the system irreversibility and speeds up the melting rate, while for high porosity (=0.9), a moderate PPI (=30) should be used during the melting process to achieve an optimal system.


2021 ◽  
Vol 40 ◽  
pp. 102707
Author(s):  
Binjian Nie ◽  
Jie Chen ◽  
Zheng Du ◽  
Yunren Li ◽  
Tongtong Zhang ◽  
...  

2017 ◽  
Vol 39 (12) ◽  
pp. 1067-1080 ◽  
Author(s):  
Ammar M. Abdulateef ◽  
Sohif Mat ◽  
Jasim Abdulateef ◽  
Kamaruzzaman Sopian ◽  
Abduljalil A. Al-Abidi

Sign in / Sign up

Export Citation Format

Share Document