Effect of Conductivity in Corrosion Problem Using Boundary Element Method and Genetic Algorithm

Aldlemy, Mohammed Suleman

doi:10.51526/kbes.2020.1.01.58-63

Cited by 2 publications

(1 citation statement)

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“…Since the eddy viscosity can only be estimated using the turbulence length scale, the calculated turbulent diffusion happens on that scale. In reality, range(s) of motion all contribute to turbulent diffusion [29]. The gradient diffusion hypothesis is used in the (k-ε) model to correlate the Reynolds stresses, mean velocity gradients, and turbulent viscosity.…”

Section: Governing Equationsmentioning

confidence: 99%

Frictional Pressure Drop and Cost Savings for Graphene Nanoplatelets Nanofluids in Turbulent Flow Environments

Mohammad

Aldlemy

Hassan³

et al. 2021

Nanomaterials

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Covalent-functionalized graphene nanoplatelets (CF-GNPs) inside a circular heated-pipe and the subsequent pressure decrease loss within a fully developed turbulent flow were discussed in this research. Four samples of nanofluids were prepared and investigated in the ranges of 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%. Different tools such as field emission scanning electron microscopy (FE-SEM), ultraviolet-visible-spectrophotometer (UV-visible), energy-dispersive X-ray spectroscopy (EDX), zeta potential, and nanoparticle sizing were used for the data preparation. The thermophysical properties of the working fluids were experimentally determined using the testing conditions established via computational fluid dynamic (CFD) simulations that had been designed to solve governing equations involving distilled water (DW) and nanofluidic flows. The average error between the numerical solution and the Blasius formula was ~4.85%. Relative to the DW, the pressure dropped by 27.80% for 0.025 wt.%, 35.69% for 0.05 wt.%, 41.61% for 0.075 wt.%, and 47.04% for 0.1 wt.%. Meanwhile, the pumping power increased by 3.8% for 0.025 wt.%, 5.3% for 0.05 wt.%, 6.6% for 0.075%, and 7.8% for 0.1 wt.%. The research findings on the cost analysis demonstrated that the daily electric costs were USD 214, 350, 416, 482, and 558 for DW of 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%, respectively.

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Section: Governing Equationsmentioning

confidence: 99%