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- MakaleYalnız künye2024Scopus SJRQ1Ks estimates using macroscopic capillary length estimated from soil hydraulic shape coefficients and Haverkamp infiltration model
Yilmaz, Deniz; Sağlam, Mustafa; İç, Serkan; Stewart, Ryan D.; Lassabatere, Laurent
In this study, we developed a new general approach to estimate the macroscopic capillary length (λc) using different hydraulic function models and related shape parameters, along with the Haverkamp infiltration model constant. We next applied this new approach to the van Genuchten model coupled with a Burdine condition (vGB) to estimate λc. Then, we applied the new λc computation to three different methods for estimating saturated hydraulic conductivity (Ks), and analyzed two sets of constant infiltration data: 1) an analytically generated Beerkan-type dataset and 2) constant head and Beerkan-type infiltration tests performed at the Ambarköprü Experimental Station of Blacksea Agricultural Research Institute in Samsun, Turkey. Our new approach provided accurate Ks estimates when applied to the analytical Beerkan infiltration data. The highest error was observed for a silt soil, with 30 % error for one formulation versus <15 % for the others. For synthetic coarse-textured soils such loamy sand and sandy loam, the error was <10 %. For the field data and Beerkan-type experiments, the new approach gave consistent estimates of Ks regardless of analytical interpretation. However, ANOVA analysis revealed that Ks varied between different infiltration test types, with constant head infiltrometry with 5 cm of applied water head having greater Ks values than the Beerkan tests (p < 0.05). Estimated Ks values also differed between land use types (p < 0.01), with a maize field having significantly greater Ks compared to a soybean field. Overall, we conclude that the proposed approach represents an efficient and appropriate method for characterizing point-scale saturated hydraulic conductivity, so long as experimental artifacts such as ring insertion deep and preferential flows are considered.
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İncele - MakaleAçık Erişim2023Scopus SJRQ1Analysis of the forced convection via the turbulence transport of the hybrid mixture in three-dimensional L-shaped channel
Akkurt, Nevzat; Shedd, Tim; Memon, Abid Ali; Usman; Ali, Mohamed R.; Bouye, Mohamed
After introducing the advantage of nanofluids for optimizing heat transfer, many research articles have been written considering the different types of domains. In our article, we will observe the turbulent transport of a hybrid mixture through the three-dimensional L-shaped channel to analyze the characteristic of heat generation via forced convection. The hybrid nanofluid is composed of aluminum oxide copper (Cu) and aluminum oxide (Al2O3), which will be present in the base fluid by the volume fraction of 5%, 15%, 25%, and 35% in the base fluid (water). To analyze the forced convection, the Reynolds number (Re) will be kept at 10,000 to 40,000. The simulation will be developed using the three-dimensional κ-ϵ turbulence model and energy equations via COMSOL Multiphysics 5.6. The numerical outcomes will be verified using the literature's correlations for the average Nusselt number. It was found that the average Nusselt number at the mid of the channel is increased by increasing the volume fractions of both aluminum oxide and copper, but the rate of increase because of copper is greater than the rate of increase because of aluminum oxide. The study also suggests that to get more benefit from the transport of a hybrid mixture, keep the Reynolds number high. The temperature along the channel length is the function of mean thermal diffusivity, which is directly proportional to the volume fractions of the hybrid mixture.
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