Browsing by Author "Alizadeh, As 'ad"

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Citation Count: 2
A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making
(Pergamon-elsevier Science Ltd, 2024) Abdollahi, Seyyed Amirreza; Alenezi, Anwur; Alizadeh, As 'ad; Jasim, Dheyaa J.; Ahmed, Mohsen; Fezaa, Laith H. A.; Maleki, Hamid
The optimal design of heat sinks presents a challenge for engineers. Using longitudinal perforations is an innovative technique employed in the design of parallel finned heat sinks that can be applied to various equipment. This technique leads to the simultaneous improvement of the heat transfer rate, pressure drop, and weight of heat sinks. The size (phi) and shape of the perforations alongside the Reynolds number are considered design variables. The results obtained from machine learning showed that the combinatorial algorithm is more reliable in modeling various objectives compared to the GMDH neural networks. The Pareto fronts generated by the NSGA-II algorithm indicated that >75% of the optimal points in the perforated-finned heat sinks (PFHSs) with square perforations had a phi >= 0 .6. The reason for this superiority is the geometric compatibility between the square perforations and rectangular fins. This compatibility enables the possibility of enlarging the perforations, resulting in improvements in essential parameters like heat dissipation, drag force, and overall heat sink volume. Various scenarios for weighting objectives in the multi-criteria decision-making (MCDM) process revealed that square-based PFHSs with Reynolds numbers around 39,900 in a wide range of perforation sizes could be applied as optimal design in real-world applications.
Citation Count: 1
Offering a channel for cooling three lithium-ion battery packs with water/ Cu nanofluid: An exergoeconomic analysis
(Elsevier, 2024) Zhao, Long; Salahshour, Soheıl; Alizadeh, As 'ad; Shirani, Nima; Nasajpour-Esfahani, Navid; Salahshour, Soheil; Shamsborhan, Mahmoud
This study focused on addressing the heat generation issue in Lithium -Ion battery packs (LIBPs). By simulating three LIBPs arranged in series within a duct, the momentum and energy conservation equations were solved using Computational Fluid Dynamics (CFD) to investigate cooling performance on the LIBPs ' temperature. To enhance cooling, copper oxide nanoparticles were added to pure water to improve the thermal conductivity of the working fluid. Various cases were simulated to examine the effects of Reynolds number at inlet and volume fraction of copper oxide nanoparticles on flow parameters (streamlines, vortices, pressure drop) and heat transfer parameters (temperature distribution, maximum and average temperature of each LIBP) within the duct. Also, this study analyzed exergoeconomics by considering exergies and initial investment. The results demonstrate that increasing the volume fraction from 0 to 4 % at Re = 60 reduced the maximum temperature of LIBP 1, 2, and 3 by 2.19 degrees C, 2.26 degrees C, and 2.64 degrees C, respectively, while it had no remarkable impact on the maximum temperature of LIBPs for bigger Reynolds numbers.
Citation Count: 0
The pool boiling heat transfer of ammonia/Fe 3 O 4 nano-refrigerant in the presence of external magnetic field and heat flux: A molecular dynamics approach
(Pergamon-elsevier Science Ltd, 2024) An, Qing; Salahshour, Soheıl; Alizadeh, As 'ad; Kamoon, Saeed S.; AL-Yasiri, Mortatha; Zhang, Mengyan; Hekmatifar, M.
Pool boiling is distinguished by its capacity to eliminate excessive heat fluxes (HFs) at low temperatures. In recent decades, the optimal design of flooded evaporators elevated the significance of pool boiling HT with refrigerant to conserve natural resources and energy. The industry highly regards this process on account of its superior heat transfer (HT) coefficient in comparison to other HT mechanisms. Among the types of boiling, pool boiling has a special place due to its ability to remove HFs at low temperatures. This study was the first to investigate the boiling characteristics of the ammonia/Fe 3 O 4 nano -refrigerant in a copper (Cu) nanochannel (NC) through molecular dynamics (MD) simulations. The primary goal was to investigate the effect of external HF (EHF) and external magnetic field amplitude (EMFA) on nanostructures ' atomic behavior (AB) and thermal behavior (TB). The research findings indicate that increasing the applied EHF led to increased particle movement and the HT rate. By changing the EHF, boiling behavior in the nano -refrigerant may also be seen. Maximum (Max) velocity (Vel.) increased to 8.970 & Aring;/ps when the EHF increases to 0.5 W/m 2 . Atomic collisions and particle mobility both increase when the EHF increases. Therefore, the maximum temperature value increases to 359.46 K. When the EMFA applied to the nano -refrigerant reaches to 0.5 T, the maximum values of the parameters, such as the Temp. and the velocity, reach to 410.07 K, and 11.802 & Aring;/ps, respectively.