Estimation of heat transfer coefficient and friction factor with showering of aluminum nitride and alumina water based hybrid nanofluid in a tube with twisted tape insert

Twisted tape is one of the active thermal proficiency boosting technology which has been deeply examined because to consistent efficiency findings and easy implementations. Thermo-hydraulic effectiveness of tubes fitted with twisted tapes is becoming highly significant. Although twisted tapes can cause swirls and disturb boundary layers, this is the most widely used method for improving convection. In the present attempt, to enhance the heat transfer twisted tape is inserted in tube. In the current modern research, the effect of twisted tape, on the enhancement of thermal transport, Nusselt number and friction factor performance of AIN-Al2O3/water hybrid nanofluid is evaluating utilizing CFD and ANSYS-FLUENT software. the consequence of twisted pitch 44 mm, 66 mm, 88 mm, 100 mm and Reynolds numbers 800, 1200, 1600 and 2000 on Nusselt number, heat transfer coefficient and friction coefficient have been computed numerically with 0.01 to 0.04 volume friction of nanopowders. The commercial ANSYS-FLUENT code was used in this analysis utilizing the SIMPLE method for pressure-velocity coupling. The [Formula: see text] model and Navier Stokes equations are integrating utilizing finite volume method in ANSYS-FLUENT. It was observed that inserting the twisted tape in tube significantly improves the thermal conductivity as well as friction factor compared with the simple tube without turbulator.

Inclined Magnetized Flow of Radioactive Nanoparticles with Exponential Heat Source and Slip Effects: Keller Box Simulations

Owing to the impressive thermal characterizations and uniform stability, the nanofluids reports novel significances in the thermal sciences, cooling phenomenon, controlling the heat transfer rate, solar systems, energy storage and many bio-medical applications. This thermal investigation incorporates the numerical investigation of two-dimensional unsteady nanofluid flow over nonlinear stretched configuration with exploration of heat source/sink case with non-uniform relations. Also consider hydromagnetic flow with parameters of chemical radiation and slip effects. The following of suitable variables, we convert the governing partial differential equation into ordinary differential equation. To solve these similarity equations using the numerical technique known as Keller box technique. Study reveals that the radiation parameter, velocity slip and chemical reaction have major effects on the temperature, velocity, concentration, mass transfer, transfer of heat and Skin friction coefficient. The influence for parameters associated to the velocity change and heat transfer determination is observed graphically.

Thermal Performances of Copper and Silver Nanomaterials with Fluctuated Boundary Layers

The development and structure of hybrid nanofluid accounted via rotating disk is explored in this investigation. The hybrid prospective of heat transfer is inspected with uniform suspension of silver nanoparticles and copper nanomaterial. The thermo-hydrodynamic theory of nanomaterials is followed for attaining the governing expressions for the hybrid nanofluid model to rotation of disk. The thermo-diffusion aspect for the nanofluids following the hybrid model is listed. The uniform suspension for both nanomaterials is done with water base fluid. The velocity change and enhancement of heat transfer for the hybrid nanofluid model is addressed along the radial direction. The diverse pattern of boundary layer is inspected. The graphical outcomes convey that more thicker thermal boundary layer is results against the increasing nano = articles concentration. The thermal mechanism of various base materials can be effectively improved with proper utilization of hybrid nanoparticles. The improvement in in coefficient indicates the larger distribution in the heated fluid layer. In the case of Ag/water nanofluid, distribution of the heat is not faster as in Ag/water nanoparticles and this deficiency is improved by using hybrid nonmaterial.

Meta-computational techniques' for managing spare data: An application in off-pump heart surgery

BACKGROUND AND OBJECTIVES

This research looked at the key considerations to remember when selecting a model for working with sparse data. In the presence of sparse evidence, it proposes ideal conditions for conducting meta-analysis.

METHODS

Monte Carlo simulations were used to produce study results, and three forms of continuity correction were used in the research. Besides, meta-analytical approaches were used to measure the cumulative effect of treatment and estimate each method's efficiency. A clinical trial in off-pump surgery met the main objectives of this research. Meta-analysis methods were used to determine the outcome of postoperative risk results. After that, with a total population of 3030, Monte Carlo simulations were used to produce research data to run fixed and random-effect models with three continuity correction forms. The type of consistency adjustment used, group imbalances, statistical analysis used, and variance values between studies all affect meta-analytical methods' results.

RESULTS

MSE values for balanced groups are normally zero. While the Arc-sine variation approach does a decent job of coping with inconsistent results on the effect of treatment, it has concerns with boundary estimates of variance between tests. Furthermore, using continuity correction methods introduces bias and imprecise medication outcome calculations. The spectrum of statistical analysis, such as fixed effects and random effects, can be inferred as completely based on data in samples. The sensitivity analysis of correction decisions could increase the reliability of meta-analysis approaches by enabling researchers to analyze various effect estimation findings.

CONCLUSION

This research study can be expanded upon by identifying alternative approaches to continuity correction methods and resolving boundary estimate problems. The range of statistical analysis, such as fixed effects and random effects, can be entirely dependent on the samples' type of data. The sensitivity analysis of correction decisions could improve the efficiency of meta-analysis methods by allowing researchers to investigate a wide range of effect estimation results.

Magnetohydrodynamic Time Dependent 3-D Simulations for Casson Nano-Material Configured by Unsteady Stretched Surface with Thermal Radiation and Chemical Reaction Aspects

Modern evaluation in the nano-technology pronounced the nanofluidci idea accumulating the exceptional thermal conductivities which reflect many novel applications in engineering, solar energy processes, thermal engineering and modern technologies. On account of this, current research analysis addresses the time dependent flow of Casson nanofluid across bidirectional unsteady stretched heated surface accounted with porous zone. The combined mass and thermal transportation features are examined by introducing renowned Buongiorno’s nanofluid model. The magnetic evaluation, radiative exploration and reaction assertive are further deliberated for physical relevance. The formulated nonlinear flow model pondered to dimensionless category by utilizing appropriate quantities and later the analytic solution is revealed by homotopic analytic technique. The complete graphical elucidation for distinct relevant variables on temperature, velocities, concentration and skin frictions are displayed. The results emphasized that diminishing trends are reported in both velocity components with magnetic and Casson material parameters. An increasing behavior of nanofluid temperature is observed for Casson liquid material. The radiation parameter enhances nanofluid temperature while concentration profile is retarded with chemical reaction. Furthermore, unsteadiness variable enhances velocities, concentration as well as temperature distributions. The obtained results present applications in energy utilization, solar energy progression, chemical engineering, bioscience, extrusion processes, microelectronics etc.

Epidemiology of coronaviruses, genetics, vaccines, and scenario of current pandemic of coronavirus diseases 2019 (COVID-19): a fuzzy set approach

Human coronaviruses (HCoVs) are associated with a range of respiratory complications. In the last two decades, three major outbreaks have been reported due to HCoVs including the current pandemic. In December 2019, a newly emerged virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in Wuhan city, China. This paper presents a detailed review of the literature and discusses the uncertain spread of coronavirus disease 2019 (COVID-19) using fuzzy set as classical set theory logic to measure uncertainty and vagueness of COVID-19 in China. Our findings show that both infection and death rate touched the peak (normal fuzzy sets) and have shown a decline. The graphs are not convex, which shows that there remains much uncertainty in the spread of COVID-19. Effective vaccines are clearly needed to control and prevent the COVID-19 pandemic.

A multi-feature hybrid classification data mining technique for human-emotion

BACKGROUND AND OBJECTIVES

The ideal treatment of illnesses is the interest of every era. Data innovation in medical care has become extremely quick to analyze diverse diseases from the most recent twenty years. In such a finding, past and current information assume an essential job is utilizing and information mining strategies. We are inadequate in diagnosing the enthusiastic mental unsettling influence precisely in the beginning phases. In this manner, the underlying conclusion of misery expressively positions an extraordinary clinical and Scientific research issue. This work is dedicated to tackling the same issue utilizing the AI strategy. Individuals' dependence on passionate stages has been successfully characterized into various gatherings in the data innovation climate.

METHODS

A notable AI multi-include cross breed classifier is utilized to execute half and half order by having the passionate incitement as pessimistic or positive individuals. A troupe learning calculation helps to pick the more appropriate highlights from the accessible classes feeling information on online media to improve order. We split the Dataset into preparing and testing sets for the best proactive model.

RESULTS

The execution assessment is applied to check the proposed framework through measurements of execution assessment. This exploration is done on the Class Labels MovieLens dataset. The exploratory outcomes show that the used group technique gives ideal order execution by picking the highlights' greatest separation. The supposed results demonstrated the projected framework's distinction, which originates from the picking-related highlights chosen by the incorporated learning calculation.

CONCLUSION

The proposed approach is utilized to precisely and successfully analyze the downturn in its beginning phase. It will assist in the recovery and action of discouraged individuals. We presume that the future strategy's utilization is exceptionally appropriate in all data innovation-based E-medical services for discouraging incitement.

Modeling and interpretation of peristaltic transport in single wall carbon nanotube flow with entropy optimization and Newtonian heating

Due to some special characteristics like the effective thermal conductivities, appropriate mechanical features, and superior electrical properties, carbon nanostructures have been known as the proper materials to reach the desired characteristics of fluids. In the recent past fluid flows through peristaltic mechanism subject to carbon nanotubes are utilized to handle the overcome of industrial and physiological materials thermal properties. Due to rich thermal characteristics nanotubes are used into basic industrial materials to improve the required ability of thermal properties of these industrial materials. Thus various kinds of nanoparticles e.g. aluminum, copper, zinc oxides and carbon nanotubes are significantly utilized to increase the thermal abilities of base liquids. Because of the several significant special qualities such as improved thermal conductivities, applicable mechanical structures, and rich electrical properties, CNTs have been acknowledged as the accurate tools to reach the wanted features of fluids, due to such abilities CNTs are high demanding research topic in all domains. Keeping such efficiencies of CNTs in notice, this analysis is prepared for peristalsis of carbon nanotubes through non-uniform asymmetric channel. Flow mechanism is modeled in view of conservation principles under desired assumptions likely porous medium, non-linear mixed convection, heat generation absorption and Newtonian heating. Rate of total entropy is evaluated by using thermodynamics second law. Lubrication approach utilized here to attain the simplified form of the complex flow expressions. The pressure gradient, velocity along axial direction, temperature, effective heat transfer rate and entropy expressions subject to boundary conditions are evaluated numerically via built-in-Shooting procedure. Furthermore these numerical results are used to sketch the variations of all the above mentioned quantities against the pertinent parameters of interest. According to physical discussion temperature reduces for heat absorption case and enhances for heat generation case. Impact of Prandtl number on entropy indicates that entropy is minimum due to less fluid friction (i.e. Prandtl number less than 1).

Evaluating the characteristics of magnetic dipole for shear-thinning Williamson nanofluid with thermal radiation

Objective A recent evolution in fluid dynamics has been the consideration of nanoliquids which retains exceptional thermal conductivity characteristics and upsurge heat transportation in fluids. Inspired by this, the current attempt develops a nonlinear mathematical model (Williamson fluid) towards moving surface heated convectively. Formulated problem further encompasses thermophoresis, magnetic dipole, heat source, Brownian diffusion, thermal radiation and thermo-solutal convective conditions. Upshots are simulated and unveiled graphically. Drag force along with heat/mass transportation rates is addressed numerically. Method The dimensionless expressions are highly non-linear and exact/analytic computations for such expressions are not possible. Thus we employed numeric (bvp4c) scheme for solution development. Conclusions Temperature of Williamson nanofluid intesifies through larger N_b (Brownian movement) factor and N_t (thermophoretic variable). Moreover, Buongiorno relation has reverse behavior for concentration ϕ(η) of Williamson nanofluid regarding N_t and N_t. Transportation rate of heat dwindles against both N_t and N_b.