PEM fuel cell cathode-side flow field design optimization based on multi-criteria analysis of liquid-slug dynamics

Cao, Yan; Ayed, Hamdi; Jafarmadar, Samad; Abdollahi, Mir Ali Asghar; Farag, Amro; Wae-hayee, Makatar; Hashemian, Mehran

doi:10.1016/j.jiec.2021.03.024

Cited by 48 publications

(12 citation statements)

References 42 publications

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“…The calculation process stopped when the residuals of continuity, momentum, and energy were less than 10 -5 , 10 -5 , and 10 -8 , respectively. Four different mesh structures with the number of elements of 822436, 1356287, 1808762, and 2209345 were used for testing the grid independency [28]. As presented in Figure 2(a), total pressure changes are not meaningful after 1356287; so, this was selected as the grid structure of the computational domain.…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

Effect of the Number of Nozzles of Swirl Flow Generator Utilized in Flat Plate Solar Collector: An Entropic Analysis

Cao

Ayed

Abdulrazzaq

et al. 2021

International Journal of Photoenergy

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The numerical model of the pipes of a flat plate solar collector (FPSC) with several nozzles has been investigated in the present study. Indeed, the effect of the number of nozzles of the swirl generator on the entropic characteristics has been evaluated. The nozzles were applied for improving the performance of FPSC. For evaluating the proposed system based on the entropy concept, the effect of injection angle and mass flow rate has been considered. The selected injection angles were 30°, 45°, 60°, and 90°. Also, the total mass flow rates entered from all of the nozzles were 0.2 kg/s, 1 kg/s, and 2 kg/s. The effect of said variables on frictional and thermal entropy generations was analyzed; then, the overall energetic-entropic performance of the system was predicted using several dimensionless parameters including NE, NS, Nu ∗ , and heat transfer improvement (HTI). Moreover, Witte-Shamsundar efficiency ( η W − S ) was applied to pinpoint the efficiency of the system. The highest value of HTI and η W − S was 1.7 and 0.9 that achieved by “single-nozzle; A90-D50-N12.5-M0.2” and “quad-nozzle; A30-D50-N12.5-M2,” respectively.

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Section: International Journal Of Photoenergymentioning

confidence: 99%

Effect of the Number of Nozzles of Swirl Flow Generator Utilized in Flat Plate Solar Collector: An Entropic Analysis

Cao

Ayed

Abdulrazzaq

et al. 2021

International Journal of Photoenergy

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“…Aluminum-based composites are used in a variety of sectors. Because of their low density, high strength-to-weight ratio, and corrosion resistance, aluminum alloys are widely employed in the aerospace, military, and automotive sectors [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Mechanical and corrosion characteristics of 6061-T6 Aluminum alloy samples reinforced with alumina micro and nanoparticles fabricated by Friction Stir Processing

Karami

Abdollahi

2022

Preprint

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The present study investigates the mechanical and corrosion properties of reinforced 6061-T6 Aluminum samples after friction stir processing. Three different composites are fabricated: one without any powder and the others with micrometer and nanometer alumina powder ({Al}_2O_3) as reinforcing particles. The hardness, tensile, and Potentiodynamic polarization tests are performed to compare the new samples with the base metal. The results show that friction stir processing has increased the tensile and ultimate strength of the composites by an average of 181 % compared to the base metal. The strength of the composites with additives is significantly affected by the size of the particles. The hardness of the processed samples has also increased compared to the base metal by 200 %. Despite these enhancements, corrosion resistance of new samples has decreased, which can be due to the numerous dislocations in the stress-induced stir zone, creating lattice deformations and causing the breakdown of the passive protective layer. The analysis of fracture surface topography through a Fractography method revealed a specific anaglyph consisting of dimples of various shapes, sizes, and dispersion and further confirmed the tensile test results.

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“…The challenges that the PEM fuel cell faces are water and thermal management [8,9,10,11,12,13,14,15], performance optimization [16,17,18,19], design and modeling [18,20,21,22], and cell humidification [23,24,25,26,27,28]. One of the critical topics that we can apply to achieve proper performance for the fuel cell is geometric design configuration [29].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells

Jabbary¹,

Pourmahmoud²,

Abdollahi³

2022

Preprint

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This article presents new PEM fuel cell models with hexagonal and pentagonal designs. After observing cell performance improvement in these models, we optimized them. Inlet pressure and temperature were used as input parameters and consumption and output power as target parameters of the multi-objective optimization algorithm. Then we used artificial intelligence techniques, including deep neural networks and polynomial regression, to model the data. Next, we employed the RSM (Response Surface Method) method to derive the target functions. Furthermore, we applied the NSGA-II multi-objective genetic algorithm to optimize the targets. The optimized Pentagonal and Hexagonal models averagely increase the output current density by 21.819% and 39.931%, respectively, compared to the base model (Cubic).

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PEM fuel cell cathode-side flow field design optimization based on multi-criteria analysis of liquid-slug dynamics

Cited by 48 publications

References 42 publications

Effect of the Number of Nozzles of Swirl Flow Generator Utilized in Flat Plate Solar Collector: An Entropic Analysis

Effect of the Number of Nozzles of Swirl Flow Generator Utilized in Flat Plate Solar Collector: An Entropic Analysis

Mechanical and corrosion characteristics of 6061-T6 Aluminum alloy samples reinforced with alumina micro and nanoparticles fabricated by Friction Stir Processing

Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells

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