Sharif Digital Repository

Water scarcity is one of the most challenging problems that the world has ever faced. There are numerous methods to remedy the water crises. One is using atmospheric water harvesting (AWH) to provide water. So far, there is much research on the subject of AWH. However, there is still a lack of establishing an extensive comparison between different technologies and methods used to harvest atmospheric water. In this review, we provide details on the thermodynamic performance of the AWH system. The systems are categorized into both active and passive systems. Heat pumps, membranes, thermoelectric solar systems, and adsorption systems are some atmospheric harvesting technologies that will be... 

Factors such as higher fuel prices, limited and geologically posited fossil fuel resources along with the impact of fossil fuels on global warming are highly unsustainable for growing economies around the globe. For this reason, an unconventional sustainable energy root is desired. In recent years, biodiesel has gained much consideration because of its similar combustion properties like fossil fuels and its synthesis from edible and non-edible oils via a catalytic process. Various catalysts (homogeneous and heterogeneous in nature) have been investigated for sustainable and green production of biodiesel. The heterogeneous catalyst calcium oxide is an abundant, cheap and has a high activity... 

The present work distinguishes the thermal attributes of zirconium oxide (ZrO2) and single wall-carbon nanotubes (SWCNTs) in a three dimensional rotating frame under the magnetic field environment. Sodium alginate (NaC6H7O6) is assumed to be the base fluid. The slippage and convective conditions on boundary have also been incorporated. The analysis comprehends, comparatively, features of both SWCNTs-NaC6H7O6 and ZrO2–NaC6H7O6 nanofluids. The amalgamation of nanomaterial SWCNTs-ZrO2 in sodium alginate builds up the thermal characteristics. An algorithmic approach deals with the approximate solutions of the problem. The numerical algorithm is mainly based on order reduction and central... 

The use of randomly distributed graphene platelets as a reinforcing material in tilted curved pipes subjected to supersonic airflow has become an increasingly popular area of research due to their potential to enhance the mechanical and thermal properties of the pipes. In this study, the focus is on investigating the frequency or dynamic response of these reinforced pipes under supersonic airflow conditions. In doing so, a higher-order shear deformation theory is utilized for modeling the displacement field in the tilted pipe structure. Moreover, the classical theory of elasticity with the incorporation of the effects of thermal loading is considered in obtaining governing equations. The... 

A mathematical model has been suggested for the numerical study of blood flow in a vessel due to the pumping action of the heart. Blood is assumed to contain some impurities in the form of chemically reactive species (undergoing a first-order irreversible reaction) and, being a hybrid nanofluid, also contains the nano-sized solid particles, thus forming a homogeneous mixture which is subjected to a pressure gradient (of trigonometric nature) in the horizontal direction. Human vessel is subjected to a transverse magnetic field and is presumed to be filled with plaque which is considered as a porous medium, and is mathematically modeled by applying the Darcy-Forchheimer theory. The nonlinear... 

In this article, we presented a numerical solution of steady-state magnetohydrodynamic (MHD) flow of an incompressible, electrically conducting Casson hybrid nanofluid through a stretching surface under the incitement of viscous dissipation, heat generation and induced magnetism. A viscous mixture of water and ethylene glycol (Formula presented.) is considered as a base fluid. Enhanced thermal aspects of the working fluid due to suspended manganese zinc ferrite ((Formula presented.)) and silver ((Formula presented.)) nanoparticles are analyzed by successive over relaxation iterative method. A self-similar procedure is adopted to obtain dimensionless system of governing equations. Order... 

The carbon nanotubes (CNTs) possess unique properties due to their structural mechanism. The CNTs comprise of exceptional electrical, mechanical and thermal attributes. This paper aims to interpret the correlation of carbon nanotube nanoparticles with motile microorganisms in a rotating magnetohydrodynamic flow with respect to slip as well as convective boundary conditions. Multi-wall carbon nanotubes (MWCNTs) are incorporated as nanoparticles whereas water (H2O) as host fluid. The dimension free appearance of governing differential equations is caused by the similarity transformation. Afterward, the combination of order reduction and finite differences is used to determine the approximate... 

For the first time, in this article, stable/unstable zones of multi-directional functionally graded (MD-FG) sector disks under aerodynamic pressures are sought. Also, because of porous media, the system is modeled as a poroelastic system. The damping matrix, together with the aerodynamic stiffness matrix, is modeled upon Krumhaar's modified supersonic piston hypothesis. For more accuracy of the results, the Series-Fourier expansion of displacement fields in two-dimension is considered. To solve the partial differential equations, the singular convolution integration method with a singular convolution, as a numerical solver, is used. The precision of the outcomes is verified with those... 

One of the major challenges in using distributed learning to train complicated models with large data sets is to deal with stragglers effect. As a solution, coded computation has been recently proposed to efficiently add redundancy to the computation tasks. In this technique, coding is used across data sets, and computation is done over coded data, such that the results of an arbitrary subset of worker nodes with a certain size are enough to recover the final results. The major drawbacks with those approaches are (1) they are limited to polynomial functions, (2) the number of servers that we need to wait for grows with the degree of the model, (3) they are not numerically stable for... 

This article presents, for the first time, a comparative analysis of two different solution methodologies for the numerical investigation of flow and thermal behavior of Casson fluid through a channel having linearly extending lower wall while the upper wall is kept at rest. MHD Casson fluid boundary layer flow is supposed to be steady, laminar, viscous, and incompressible. We have taken into account the mixed convection effects, whereas the usual no slip condition has been imposed on both walls. The Navier–Stokes equations for the proposed model have been converted into nonlinear and coupled system of ordinary differential equations (ODEs) by employing similarity variables, which are then... 

A wide range of techniques are currently used to improve the performance of the anaerobic digestion (AD) process, including co-digestion, inoculation, and addition of various accelerants. In the current study, ruminant intestinal waste inoculum effect on AD of cow manure was investigated. It was hypothesized that methanogens present in intestinal waste will enhance anaerobic digestion, which will result in increased biogas production. Five different cow manure/intestinal waste ratios (1:0, 9:1, 7:3, 1:1, 0:1) on wet weight basis were introduced in AD systems at mesophilic environment (37 °C) to find the best combination of cow manure and intestinal waste. Among tested cow manure/intestinal... 

Hybrid nanofluids exhibit higher thermal performance than conventional nanofluids. Due to improved thermal features of hybrid nanomaterials, these materials can be utilized in industrial and engineering devices to enhance their efficiency. Owing such applications, the aim objective of current study is to examine the behavior of radiative non-Newtonian Casson fluid submerged tiny particles of cobalt ferrite (CoFe2O4) and manganese zinc spinal ferrite (Mn − Zn Fe2O4). Behavior of flow is examined in a rotating porous cone with cluster interfacial layer impacts. Slip mechanisms of solid nanoparticles at the boundary of the surface are accounted. The governing flow model is acquired taking the... 

The present work aims to interpret the mass and heat transferal flow through Darcy Forchheimer porous medium involving, simultaneously, microorganisms and nanoparticles. The involvement of gyrotactic microorganisms in the flow of nanoparticles reinforces the thermal characteristics of several energy systems. The amalgamation of microorganisms (microbes) in the nanofluids not only enhances the thermal properties of the fluid but it also causes the stability in the flow. Some other prominent effects such as chemical reaction and heat generation have also been taken into account. The reduced form of the governing model equations is further simplified in order to obtain the algebraic system of... 

Heat transport features of a dusty fluid flow within a resistive porous medium are numerically interpreted under the magnetohydrodynamic environment. Fluid and dust phase characteristics are overlooked against the preeminent parameters. The main concern, in this work, is to analyze how much the resistive porous media affects the dusty flow in the presence of Lorentz force. The use of convection boundary conditions will aid attain the desired heat transfer rate in engineering applications. The nonlinear partial differential equations governing the fluid and dust phase are transmuted into a system of coupled and highly nonlinear ordinary differential equations which are first discretized using... 

A combination of measurements of the inclusive top-quark pair production cross-section performed by ATLAS and CMS in proton–proton collisions at centre-of-mass energies of 7 and 8 TeV at the LHC is presented. The cross-sections are obtained using top-quark pair decays with an opposite-charge electron–muon pair in the final state and with data corresponding to an integrated luminosity of about 5 fb−1 at s = 7 TeV and about 20 fb−1 at s = 8 TeV for each experiment. The combined cross-sections are determined to be 178.5 ± 4.7 pb at s = 7 TeV and 243.3−5.9+6.0 pb at s = 8 TeV with a correlation of 0.41, using a reference top-quark mass value of 172.5 GeV. The ratio of the combined cross-sections... 

Digital images allow for the objective evaluation of facial appearance and abnormalities as well as treatment outcomes and stability. With the advancement of technology, manual clinical measurements can be replaced with fully automatic photographic assessments. However, obtaining millimetric measurements on photographs does not provide clinicians with their actual value due to different image magnification ratios. A deep learning tool was developed to estimate linear measurements on images with unknown magnification using the iris diameter. A framework was designed to segment the eyes’ iris and calculate the horizontal visible iris diameter (HVID) in pixels. A constant value of 12.2 mm was... 

Tri-hybrid nanofluid (THNF) can achieve a higher heat transfer rate than conventional hybrid nanofluid by combining three different nanoparticles with synergistic effects. It can have more diverse physical and thermal properties by choosing different combinations of nanoparticles. That is why it has more potential applications in various fields such as solar thermal, biomedical, and industrial processes. On the other hand, vortices are circular motions of liquid or gas that occur when there is a velocity difference. They are important for understanding how fluids mix and transport mass. They can be found in nature, such as in tornadoes and hurricanes. The aim of the current study is to... 

Using super-resolution (SR) algorithms, an image with a low resolution can be converted into a high-quality image. Our objective was to compare deep learning-based SR models to a conventional approach for improving the resolution of dental panoramic radiographs. A total of 888 dental panoramic radiographs were obtained. Our study involved five state-of-the-art deep learning-based SR approaches, including SR convolutional neural networks (SRCNN), SR generative adversarial network (SRGAN), U-Net, Swin for image restoration (SwinIr), and local texture estimator (LTE). Their results were compared with one another and with conventional bicubic interpolation. The performance of each model was... 

Magneto-rheological or electro-rheological materials, due to many possible control-based applications have acquired lots of attention. So, in the present work, as the first attempt, a point interpolation method is exploited to evaluate vibrations of the sandwich conical panel with magneto-rheological or electro-rheological core, and composite face sheets. Through the linear viscoelastic hypothesis, and in the pre/post-yield zones, the correlation of shear stress-strain for magneto-rheological fluid is applied. The equilibrium equations are governed by the principle of Hamilton in addition to the first-shear deformation (FSD) hypothesis. By satisfying the compatibility equations, the... 

It is very significant and practical to explore a triple hybrid nanofluid flow across the stuck zone of a stretching/ shrinking curved surface with impacts from stuck and Lorentz force factors. The combination (Ag-TiO2-Al2O3/blood) hybrid nanofluid is studied herein as it moves across a stagnation zone of a stretching/shrinking surface that curves under the impact of pressure and Lorentz force. Exact unsolvable nonlinear partial differential equations can be transformed into ordinary differential equations that can be solved numerically by similarity transformation. It was discovered that predominant heat transfers andmovement characteristics of quaternary hybrid nanofluids are dramatically...