Numerical simulation of Sutterby hybrid nanoliquid flow between two concentric cylinders with thermal radiation

Kumar, Jeevan; Sandeep, N.

doi:10.1080/10407790.2023.2186549

Numerical Heat Transfer, Part B: Fundamentals

2023

DOI: 10.1080/10407790.2023.2186549

|View full text |Cite

Numerical simulation of Sutterby hybrid nanoliquid flow between two concentric cylinders with thermal radiation

Jeevan Kumar

N. Sandeep

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 8 publications

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Novel Bayesian distributed adaptive neural structure for titanium and aluminium alloy nanofluidic model with gyrotactic microorganisms

Shah,

Raja,

Shoaib

et al. 2024

Tribology International

View full text Add to dashboard Cite

Novel Bayesian distributed adaptive neural structure for titanium and aluminium alloy nanofluidic model with gyrotactic microorganisms

Shah,

Raja,

Shoaib

et al. 2024

Tribology International

View full text Add to dashboard Cite

Novel numerical approach toward hybrid nanofluid flow subject to Lorentz force and homogenous/heterogeneous chemical reaction across coaxial cylinders

Janjua,

Bilal,

Riaz

et al. 2024

AIP Advances

View full text Add to dashboard Cite

The combination of AA7075 and Ti6Al4V aluminum alloys provides an effective balance of endurance, corrosion resistance, and lightness. Some potential applications include aviation components, marine structures with anti-corrosion characteristics, surgical instruments, and athletic apparel. Therefore, the hybrid nanofluid (Hnf) consists of aluminum alloys (AA7075-Ti6Al4V), water (50%), and ethylene glycol (EG-50%) in the current analysis. The Hnf flow subject to heat radiation and Lorentz force is studied through coaxial cylinders. In addition, the flow has been observed under the impacts of homogeneous-heterogeneous (HH) chemical reaction and exponential heat source/sink. The modeled equations (continuity, momentum, HH, and heat equations) are renovated into the non-dimensional form through the similarity approach, which are further numerically computed by employing the ND-solve technique coupling with the shooting method. It can be noticed from the graphical results that the flow rate of Hnf drops with the rising effect of porosity and magnetic field parameters. The addition of AA7075-Ti6Al4V nanoparticles (NPs) also reduces the fluid temperature and velocity profile. Furthermore, the concentration distribution diminishes with the flourishing effect of HH parameters.

show abstract

Heat transfer analysis of turbulent forced-convection flow in a wavy absorber tube containing a molten salt-based hybrid nanofluid filled with a porous material

Boudraa

Bessaïh

2023

Numerical Heat Transfer, Part A: Applications

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Numerical simulation of Sutterby hybrid nanoliquid flow between two concentric cylinders with thermal radiation

Cited by 8 publications

References 26 publications

Novel Bayesian distributed adaptive neural structure for titanium and aluminium alloy nanofluidic model with gyrotactic microorganisms

Novel Bayesian distributed adaptive neural structure for titanium and aluminium alloy nanofluidic model with gyrotactic microorganisms

Novel numerical approach toward hybrid nanofluid flow subject to Lorentz force and homogenous/heterogeneous chemical reaction across coaxial cylinders

Heat transfer analysis of turbulent forced-convection flow in a wavy absorber tube containing a molten salt-based hybrid nanofluid filled with a porous material

Contact Info

Product

Resources

About