Energy and entropy generation analyses of a nanofluid-based helically coiled pipe under a constant magnetic field using smooth and micro-fin pipes: Experimental study and prediction via ANFIS model

被引:18
作者
Safarzadeh, Sajjad [1 ]
Niknam-Azodi, Mahdi [1 ]
Aldaghi, Alireza [1 ,2 ,3 ]
Taheri, Amin [1 ]
Passandideh-Fard, Mohammad [1 ,2 ,3 ]
Mohammadi, Majid [1 ,2 ,3 ]
机构
[1] Ferdowsi Univ Mashhad, Dept Mech Engn, Mashhad, Razavi Khorasan, Iran
[2] Ferdowsi Univ Mashhad, Ctr Nanotechnol Renewable Energies, Mashhad 9177948974, Razavi Khorasan, Iran
[3] Ferdowsi Univ Mashhad, Micronanofluid Lab MNL, Mashhad, Razavi Khorasan, Iran
关键词
ANFIS model; Energy and entropy generation; Magnetic field; Helically coiled pipe; Nanofluid; CONVECTIVE HEAT-TRANSFER; LAMINAR-FLOW; TRANSFER ENHANCEMENT; TUBE; PHASE;
D O I
10.1016/j.icheatmasstransfer.2021.105405
中图分类号
O414.1 [热力学];
学科分类号
摘要
The 1st aim of the present experimental study is on expanded energy and entropy generation analyses for a helically coiled pipe using micro-fin tube and magnetic field. To this end, the influence of various coil diameters, coil pitches, and test fluids (Fe3O4-water 1% wt. and distilled water) on the thermal performance are investigated. The 2nd aim is to predict the Nusselt number, friction factor and entropy generation using adaptive neuro fuzzy inference system (ANFIS) model. The results showed that the case with a diameter of 135 mm and a pitch of 30 mm represents a higher thermal efficiency in the water-based coil. For more accurate optimization from the operation and design standpoints, in addition to maximizing efficiency, the entropy generation number should be minimized. Consequently, the entropy generation number variations is assessed through four key parameters of Reynolds number, coil diameter, coil pitch, presence/absence of magnetic field. At a fixed pitch, the cases with diameters of 90 and 135 mm are the optimum cases in terms of exergy viewpoint among the other coils for distilled water and nanofluid, respectively. The AFNIS model in this study predicts the results with average relative errors of 0.67, 4.48 and 2.83% for Nusselt number, friction factor and entropy generation.
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页数:13
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