Computational frame work of Cattaneo-Christov heat flux effects on Engine Oil based Williamson hybrid nanofluids: A thermal case study

Jamshed, Wasim; Nisar, Kottakkaran Sooppy; Ibrahim, Rabha W.; Mukhtar, Tayyaba; Vijayakumar, V.; Ahmad, Fahad

doi:10.1016/j.csite.2021.101179

Cited by 125 publications

(20 citation statements)

References 45 publications

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“…Future applications of the Galerkin finite element algorithm (G-FEA) could include a range of physical and technological difficulties 11,[50][51][52][53][54][55][56][57][58][59] . According to [60][61][62][63][64][65][66][67][68][69][70] , there have been several recent advancements that explore the importance of the research domain under consideration.…”

Section: Core Points and Conclusionmentioning

confidence: 99%

Improved finite element method for flow, heat and solute transport of Prandtl liquid via heated plate

Hafeez

Krawczuk

Jamshed

et al. 2022

Sci Rep

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In the current study, a vertical, 3D-heated plate is used to replicate the generation of heat energy and concentration into Prandtl liquid. We discuss how Dufour and Soret theories relate to the equations for concentration and energy. In order to see how effectively particles, interact with heat and a solvent, hybrid nanoparticles are used. It does away with the phenomena of viscous dissipation and changing magnetic fields. The motivation behind the developed study is to optimize solvent and heat storage uses in the biological and industrial domains. This article's major goal is to explore the aspects of thermal energy and mass transfer that influence how nanoparticles, hybrid nanoparticles, and 3D melting surface sheets behave. Variable thermal efficiency and variable mass transfer are combined. The system of generated PDEs (difference equations) includes the concentration, velocity, and heat energy equations. The numerical calculations are done for Silver (Ag), Molybdenum Disulfide (MoS2) nanoparticles with Ethylene glycol (C2H6O2) as the base fluid using a boundary layer approach to the mathematical formulation. The system of ODEs is formulated through transformations in order to find a solution. A Galerkin finite element algorithm (G-FEA) is adopted to analyze various aspects versus different parameters. It has been found that motion into hybrid nanoparticles is reduced by motion into nanoparticles. Additionally, differences in heat energy and solvent particle sizes are associated with modifications in magnetic, Dufour, Eckert, and Soret numbers. In contrast to hybrid nanostructures, the output of thermal energy is usually observed to be substantially higher. The magnetic field parameter decreases the particle velocity. In contradiction to the Eckert number, bouncy parameter, and magnetic parameter set values, the maximum quantity of heat energy is obtained. variable thermal conductivity's function. The 3D heated vertical surface convective heat transfer of nanofluids and hybrid nanofluids under the impact of a heat source, thermal radiation, and viscous dissipation has not yet been studied, as far as the authors are aware.

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Section: Core Points and Conclusionmentioning

confidence: 99%

Improved finite element method for flow, heat and solute transport of Prandtl liquid via heated plate

Hafeez

Krawczuk

Jamshed

et al. 2022

Sci Rep

Self Cite

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“…Modified thermophysical features are the outcome of solid nanoparticles that are diffused in EO. The next equations in Table 1 summarize FGVNF substance variables [26,27].…”

Section: Heat-physical Possessions Of Fgvnfmentioning

confidence: 99%

“….. E and p are J × 1 order columns array. The factoring LU is utilized to touch the .. E outcome [27].…”

Section: Classical Keller Box Techniquementioning

confidence: 99%

Entropy Optimization of First-Grade Viscoelastic Nanofluid Flow over a Stretching Sheet by Using Classical Keller-Box Scheme

2021

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Nanofluids have better surface stability, thermal absorption, and distribution capacities are produced as heat transfer fluids. In current nanofluid-transport studies, together with the heat transfer mechanisms, entropy reduction in thermo- and non-Newtonian nanofluid models with changing thermophysical characteristics is heavily addressed. The entropy production is examined as thermodynamically stable first-grade viscoelastic nanofluid (FGVNF) flow over a flat penetrable, porous barrier. The uniform porous horizontal stretching of the surface in a Darcy type of pore media results in a fluid motion disturbance. In addition, this study also includes the effects of thermal radiation, viscous dissipation, and slip conditions at the border. Under boundary layer flow and Rosseland approximations, the governing mathematical equations defining the physical features of the FGVNF flow and heat transfer models are summarized. The governing nonlinear partial differential equation is transformed by similarity variables to achieve solutions in nonlinear ordinary differential equations. Approximative solutions for reduced ordinary differential equations are obtained by the Keller Box Scheme. Two distinct types of nanofluids, Copper-Engine Oil (Cu-EO) and Zirconium Dioxide-Engine Oil (ZrO2-EO), are considered in this research. The graphs are produced to examine the effects of the different physical factors for the speed, temperature, and entropy distributions. The significant findings of this study are that the critical characteristics of (boundary layer) BL collectively promote temperature variation, including slip speed, diverse thermal conductivity, and non-Newtonian first-grade viscoelastic nanofluid, the concentration of nanoparticles as well as thermal radiation, and a high porous media. The other noteworthy observation of this study demonstrates that the (Cu-EO) FGVNF is a better conductor than (ZrO2-EO) FGVNF transmission. The entropy of the system grows the Deborah number and volume fraction parameter.

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“…the desired thermal performance of hybrid nanofluid is improved analogous to individual nanofluids, chemical stability, physical strength, and mechanical resistance due to the synergetic effects of various kinds of nanomaterials. Using a computer technique, Jamshed et al 21 investigated the Cattaneo-Christov heat flux effects on engine petroleum distillates Williamson hybridization nanofluids. Arif et al 22 examined the heat transfer performance of the oil base hybrid nanofluid flow over a oscillating vertical cylinder.…”

Section: Introductionmentioning

confidence: 99%

Investigation of 3D flow of magnetized hybrid nanofluid with heat source/sink over a stretching sheet

Farooq

Tahir

Waqas

et al. 2022

Sci Rep

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The thermal processes with inclusion of nanomaterials provide a wide range of applications pertaining to heat exchangers and cooling of compact heat density devices. The current research investigates the three-dimension flow of hybrid nanofluid comprising TC4(Ti-6A-14V) and Nichrome 80% Ni and 20% Cr nanoparticles mixed within engine oil as the base fluid for the enhancement of heat and mass transfer rate. The effects of homogeneous-heterogeneous processes and thermal radiation are incorporated. The heat transfer occurs due to a rotating inclined stretched sheet is discussed against prominent factors such as thermal radiation, inclined angle parameter, rotation parameter, and heat source/sink. The leading mathematical formulation consists of a set of PDEs, which are then transmuted into ordinary differential equations using suitable similarity transformation. The numerical solutions are obtained by using MATLAB's built-in function bvp4c. The results for velocity profile, temperature profile and concentration distribution are evaluated for suitable ranges of the controlling parameters. The graphical result shows that when the angle of inclination, magnetic parameter, and the volumetric concentration of hybrid nanomaterials increase the axial flow profile of the hybrid nanofluid is reduced. However, the rotation parameter reveals the opposite response. The temperature is intensified with an increment of heat source/sink, shape factors, and magnetic field parameter. For enhanced nanoparticle volumetric concentration, the temperature of the fluid rises up. The graphical validation is also illustrated using streamlines and statistical plots for hybrid nanofluid.

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Computational frame work of Cattaneo-Christov heat flux effects on Engine Oil based Williamson hybrid nanofluids: A thermal case study

Cited by 125 publications

References 45 publications

Improved finite element method for flow, heat and solute transport of Prandtl liquid via heated plate

Improved finite element method for flow, heat and solute transport of Prandtl liquid via heated plate

Entropy Optimization of First-Grade Viscoelastic Nanofluid Flow over a Stretching Sheet by Using Classical Keller-Box Scheme

Investigation of 3D flow of magnetized hybrid nanofluid with heat source/sink over a stretching sheet

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