Heat Transfer Enhancement by Coupling of Carbon Nanotubes and SiO2 Nanofluids: A Numerical Approach

The core purpose of this study is the formulation of a fractional model to anticipate the improvement in heat transfer potential of a particular diathermal oil i.e. engine oil under thermal radiative flux. The magnetohydrodynamic (MHD) freely convectional transport of two different types of engine oil based nanofluids comprised of Titanium (Ti 6 Al 4 V) and Aluminum (AA7075) alloy nanoparticles is considered in a vertical channel frame. In addition, the channel is assumed to be embedded in a permeable media and slip effects are observed at both ends. The transmutation of the governed model from classical to fractional environment is achieved by operating the Atangana-Baleanu derivative. To procure solutions of the proposed fractional model, Laplace transform is employed with an adequate choice of some unit-free quantities. Numerical simulations are performed and outcomes are conveyed through graphical illustrations to discuss the contribution of considered alloy nanoparticles in flow mechanism and thermal behavior of engine oil. It is reported that Ti 6 Al 4 V is more effective to enhance the thermal efficiency of engine oil as compared to AA7075. It is claimed that there is an augmentation of 32.50% in the heat transfer rate of engine oil due to Ti 6 Al 4 V, which is almost twice the improvement in heat transfer rate provided by AA7075. Furthermore, the slip parameters lead to expedite the channel flow of engine oil. This study culminates that Ti 6 Al 4 V and AA7075 significantly improve the lubrication and cooling characteristics of engine oil.

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“…In the presence of Eqs. (15), (20), and (21), implementation of LT yields the following form of the temperature equation (19)…”

Section: A Temperature Fieldmentioning

confidence: 99%

Double Slip Effects and Heat Transfer Characteristics for Channel Transport of Engine Oil With Titanium and Aluminum Alloy Nanoparticles: A Fractional Study

et al. 2021

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“…The pioneering work of Stefan [24] laid the foundation for investigating squeezing flow mechanisms, paving the way for a new avenue of research. Saba et al [25] delved into the swirling flow of hybridized nanoparticle-infused liquid within a channel with compressed walls. The couple stress CNT-Fe 3 O 4 /H 2 O flow through an asymmetric squeezing channel was investigated by Saba et al [26].…”

Section: Introductionsmentioning

confidence: 99%

Designing a neuron network topology for forecasting streaming patterns of highly magnetized couple stress trihybrid nano-blood in a constricted/dilated artery by means of electric double layer principle

Das,

Das

2024

Preprint

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Exploring electrokinetic phenomena in the context of biofluids blended with nanoparticles opens up possibilities for innovative biomedical applications. It may open pathways to novel treatments involving electromagnetic fields and nanoparticle-infused blood tailored to target specific medical issues. This research is centred on investigating streaming patterns in highly magnetized couple stress blood infused with single-walled carbon nanotubes (SWCNTs), titania, and alumina within a constricted/dilated arterial channel influenced by electroosmosis. The model is designed with the imposition of an intense external magnetic field oriented perpendicularly to the channel, giving rise to phenomena such as Hall currents, ion-slip currents, and Joule heating. The electric potential within the electric double layer (EDL) is calculated through the solution of the Poisson-Boltzmann equation. Computation of the proposed blood flow model is accomplished by harnessing the Runge-Kutta-Fehlberg (RKF45) shooting scheme via the bvp4c solver in Mathematica. The study is carried out by employing informative graphs and tables to comprehensively understand and elucidate the physical sequels of crucial factors on flow dynamics and physical quantities. Notable outcomes include the observation that blood temperature regenerates with higher values of Hall and ion-slip parameters, while skin friction on the artery’s upper wall abates as the electroosmosis parameter amplifies. An increase in nanoparticles’ volume fraction (NVF) leads to higher Nusselt numbers on the upper wall. Furthermore, an artificial neural network (ANN) model is developed using reference datasets obtained from numerical outcomes. This ANN model accurately predicts crucial flow quantities, with error rates of only 0.07% for the skin friction coefficient and 0.05% for the Nusselt number. The findings of this study hold potential implications for the design of more effective drug delivery systems, biomedical devices, improved diagnostic accuracy and informed treatment decisions, among other applications.

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“…Saba et al [21] investigated the three-dimensional compression flow of the hybrid nanofluid (CNT-SiO 2 /H 2 O). They used an improved Hamilton-Crosser model (RHCM) to explain the effective thermal conductivity of nanofluid based on CNTs.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of the Use of Boron Nitride/Water and Conventional Nanofluids in a Microchannel Heat Sink

Kaya

2022

Processes

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The purpose of this paper is to study the effects of the use of boron nitride (BN) and other conventional nanoparticles (Al2O3, CuO and TiO2) on pressure drop and heat transfer in a microchannel. The governing equations for forced fluid flow and heat transfer were worked out by using fluent computational fluid dynamics (CFD) code. Computational results collected from fluent CFD code for Al2O3 as the nano-particle were compared with numerical values used in the literature for validation. The basis of a water-cooled (pure water, Al2O3/Water, CuO/Water, TiO2/Water and BN/Water) smooth microchannel was outlined, and then the corresponding laminar flow and heat transfer were evaluated numerically. The results from the numerical tests (NT) express good agreement with the values found in the literature. These results also indicate, through the comparison which was performed by taking the heat transfer and pressure loss parameters between BN and other widely used conventional nanoparticles (Al2O3, CuO and TiO2) into consideration, that BN is the more favorable nanoparticle. In comparison to other common nanoparticles (Al2O3, CuO and TiO2), BN enhances heat transfer and slightly raised pressure losses owing to its high thermal conductivity and high velocity profile because of low density. It is also chemically stable at the highest temperature relative to most solid materials. Thus, it has a structure that can be used in cooling systems for a long time without causing a problem of agglomeration.

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Heat Transfer Enhancement by Coupling of Carbon Nanotubes and SiO2 Nanofluids: A Numerical Approach

Cited by 15 publications

References 44 publications

Double Slip Effects and Heat Transfer Characteristics for Channel Transport of Engine Oil With Titanium and Aluminum Alloy Nanoparticles: A Fractional Study

Double Slip Effects and Heat Transfer Characteristics for Channel Transport of Engine Oil With Titanium and Aluminum Alloy Nanoparticles: A Fractional Study

Designing a neuron network topology for forecasting streaming patterns of highly magnetized couple stress trihybrid nano-blood in a constricted/dilated artery by means of electric double layer principle

Numerical Investigation of the Use of Boron Nitride/Water and Conventional Nanofluids in a Microchannel Heat Sink

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