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Entropy optimization in convective viscous fluids flow due to a rotating cone is explored. Heat expression with heat source/sink and dissipation is considered. Irreversibility with binary chemical reaction is also deliberated. Nonlinear system is reduced to ODEs by suitable variables. Newton built in shooting procedure is adopted for numerical solution. Salient features velocity filed, Bejan number, entropy rate, concentration and temperature are deliberated. Numerical outcomes for velocity gradient and mass and heat transfer rates are displayed through tables. Assessments between the current and previous published outcomes are in an excellent agreement. It is noted that velocity and temperature show contrasting behavior for larger variable viscosity parameter. Entropy rate and Bejan number have reverse effect against viscosity variable. For rising values of thermal conductivity variable both Bejan number and entropy optimization have similar effect.

Here, our main aim is to examine the impacts of Dufour and Soret in a radiative Darcy–Forchheimer flow. Ohmic heating and the dissipative features are outlined. The characteristics of the thermo-diffusion and diffusion-thermo effects are addressed. A binary chemical reaction is deliberated. To examine the thermodynamical system performance, we discuss entropy generation. A non-linear differential system is computed by the finite difference technique. Variations in the velocity, concentration, thermal field and entropy rate for the emerging parameters are scrutinized. A decay in velocity is observed for the Forchheimer number. Higher estimation of the magnetic number has the opposite influence for the velocity and temperature. The velocity, concentration and thermal field have a similar effect on the suction variable. The temperature against the Dufour number is augmented. A decay in the concentration is found against the Soret number. A similar trend holds for the entropy rate through the radiation and diffusion variables. An augmentation in the entropy rate is observed for the diffusion variable.

Flow due to the Darcy–Forchheimer medium is an important perspective in various geophysics, industrial processes, geothermal energy, and thermodynamic processes. The importance of the Darcy–Forchheimer medium is noticed in technical, mechanical, industrial, and scientific fields including atomic waste archive, artificial dialysis, catalytic converters, gas turbine, improved oil recuperation, atherosclerosis, grain stockpiling, geo-energy production, and warm protection designing, etc. In view of such industrial and geothermal applications, the objective of this paper is to highlight the influence of entropy generation in chemical reactive MHD (magnetohydrodynamic) Darcy–Forchheimer nanoliquid flow with radiation. Flow by an exponentially stretching permeable sheet is taken. Thermal radiation, heat source, magnetic force, and dissipation impacts are considered in thermal expression. Additionally, Buongiorno’s model with random and thermophoresis diffusions is explained. Physical features of entropy are deliberated. The first-order isothermal reaction is discussed.Non-linear expressions are reduced to the dimensionless non-linear system through the implementation of non-similar transformations. The resultant non-linear systems are solved subject to local non-similarity via the ND-solve techniqueGraphical results for entropy rate, concentration, velocity, and thermal field versus emerging variables are studied. The reverse trend holds for entropy and velocity through the magnetic variable. A larger approximation of the Eckert number intensifies the thermal field.A higher Forchheimer number reduces the fluid flow. A reverse impact for concentration and thermal field is seen through random motion variable. Similar behavior for thermal distribution is seen by thermophoresis and radiation effects. A larger porosity variable declines the entropy rate, while the reverse effect holds for the Brinkman number. A larger diffusion variable increases the entropy generation. KCI Citation Count: 18

The aim of this study is to find out the microstructure, hardness, and corrosion resistance of Pb-5%Sb spine alloy. The alloy has been produced by high pressure die casting (HPDC), medium pressure die casting (AS) and low pressure die casting (GS) methods, respectively. The microstructure was characterized by using optical microscopy and scanning electron microscopy (SEM). The hardness was also reported. The corrosion resistance of the spines in 0.5M H2SO4 solution has been analyzed by measuring the weight loss, impedance spectroscopy and the potentiodynamic polarization techniques. It has been found that the spine produced by HPDC has defect-free fine grain structure resulting improvement in hardness and excellent corrosion resistance.

The aim of the current investigation is to discuss the behavior of mixed convection magnetohydrodynamic flow of Eyring–Powell nanoliquid subjected to gyrotactic microorganisms over a stretchable cylinder. Energy communication is developed through the first law of thermodynamics and deliberated in the manifestation of viscous dissipation. Furthermore, Brownian motion and thermophoresis effects are also considered. Nonlinear system of partial differential equations is altered into ordinary one due to employing transformations. The given systems are then solved through ND-solve technique. Impact of influential variables on velocity, motile microorganism’s temperature, and concentration is deliberated graphically. Skin friction coefficient, mass transfer rate, density number, and Nusselt number are numerically computed versus different influential variables. Velocity and temperature have opposite impact for curvature parameter. For higher estimation of fluid parameter, temperature and velocity fields boost up.

The theme of this paper is to scrutinize hydromagnetic flow of Jeffrey fluid subject to stretched curved sheet. Heat expression is developed through dissipation, magnetic force and radiation. Entropy generation is also studied. First order isothermal reaction is examined. Nonlinear ordinary differential systems are found through adequate transformation. Here we have used the ND-based numerical solution method to develop numerical results. Impact of sundry variables on temperature, fluid flow, concentration and entropy rate are discussed. Performance of skin friction and heat transport rate via flow parameters are graphically studied. An increase in curvature variables lead to improve velocity and thermal field. Higher approximation of radiation enhances temperature. An intensification in drag force is seen versus Deborah number. Larger approximation of Brinkman number boosts up entropy analysis.

The current investigation deals with entropy analysis for radiative flow of nanomaterials between two heated rotating disks. Titanium ( Ti O 2 and GO ) and Graphene oxides are taken as nanoparticles. Water ( H 2 O ) is used as a conventional base liquid. Dissipation and radiation effects are incorporated in energy equation. Rotating disks have different angular velocities. Both disks have different stretching rates. Attention is focused for statistical declaration and probable error. Physical feature of entropy analysis is studied through thermodynamics second law. Nonlinear partial system (PDEs) is reduced to ordinary one (ODEs). Homotopy analysis technique (HAM) is used for convergent series solution. Features of sundry variables on entropy optimization, temperature, Bejan number, and velocity are discussed for both nanoparticles ( Ti O 2 and GO ). Computational outcomes for velocity gradient and Nusselt number are addressed through tabulated values. For larger Reynold number the radial and axial velocities are decreased. Temperature is augmented for against higher Eckert number and radiation parameter. Bejan number and entropy rate are augmented versus radiation parameter. Bejan number and Entropy rate have opposite trend via Reynold number. Statistical declaration and probable error are deliberated via Tables.

This communication models the flow of viscous nanofluid between two heated parallel plates with radiation and uniform suction at one boundary. Two types of carbon nanotubes (CNTs) namely the single (SWCNT) and multiple (MWCNT) walls are accounted. Heat generation, radiation, and dissipation in heat expression are utilized. Entropy generation and Bejan number are examined. Formulation and analysis in rotating frame are considered. Convergent solutions for velocity and temperature are constructed and interpreted. Coefficient of skin-friction and Nusselt number are tabulated and analyzed for comparative study of SWCNT and MWCNT. Correlation for skin-friction and Nusselt number are also evaluated. An enhancement in velocity profile is seen through suction variable. A reduction occurs in axial velocity for higher Reynolds number. An opposite trend is hold for thermal field through Eckert and Prandtl numbers. An intensification in temperature is noted for radiation. An amplification in entropy rate is observed through Brinkman number. Higher Reynolds number corresponds to improve Bejan number. An improvement in radiation variable lead to rises heat transfer rate for both carbon nanotubes.

The functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy storage components of the system include the batteries, turbine, and ultracapacitor. This research incorporates a supercapacitor hybrid energy storage system (HESS) into a solar hybrid power generating system, allowing the consumption and energy storage space and power output to be significantly increased. This study’s approach incorporates a decentralized power generation system with a HESS while increasing electrical output in phases utilizing a dynamic reactive power compensation scheme and a conductance-fuzzy dual-mode control strategy. Due to a nonlinear behavior of photovoltaic (PV) devices’ power output, maximum power point tracking (MPPT) methods must be used to create the greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. The dynamic power factor correction scheme and also the conductance-fuzzy dual-mode control approach are primarily used in this study to optimize the solar hybrid renewable energy system.

Nonlinear mixed convective flow of couple stress nanoliquid is analyzed. Slip condition and entropy generation are under consideration. Thermal relation comprises heat source, radiation, magnetohydrodynamic and viscous dissipation. Features of nanoliquid are added by employing Buongiorno model. Isothermal cubic autocatalysis chemical reactions are considered. Nondimensional ordinary differential expressions are developed through appropriate transformations. Nonlinear dimensionless ordinary systems are tackled through ND-Solve method. Analyses for entropy rate, temperature, velocity and concentration against emerging parameters are examined. Numerical results for heat transfer rate and skin friction are examined. Enhanced entropy rate and temperature are noticed through magnetic variable whereas reverse impact detected for velocity. Similar behaviors for velocity and drag force coefficient are witnessed through couple stress liquid parameter. Larger radiation variable corresponds to intensify the Nusselt number and temperature. An opposite trend of thermal distribution is noticed for Prandtl and Eckert numbers. Entropy rate is optimized versus higher Brinkman number. Larger homogeneous reaction variable leads to decrease the concentration distribution.