Significance of chemical reaction and velocity slip on Magnetized Sutterby Nanofluid over Stretchable Sheet

• Chemical reaction and velocity slip on magnetized Sutterby Nanofluid over Stretchable Sheet is investigated • The reasoning for the use of graphical representations that emphasise the physical consequences of embedded elements on the solution is discussed. • Nonlinear partial differential equations are transformed into ordinary differential equations by similarity conversions and resolved by using the MATLAB built-in solver bvp4c. • The investigation is influenced by several dimensionless parameters, including the Deborah number, Reynolds number, and the power-law index. The novelty of current analysis is to examine various effects on steady Sutterby nanofluid flow over a stretching sheet. This communication describes the current mathematical modeling of Sutterby nanofluids with radiant heat assessment. Buongiorno's model incorporates the thermophoresis and Brownian motion effects. As part of the present study, velocity slip and magnetic fields were also studied in relation to flow phenomena. A Sutterby fluid model is used in order to represent the non-Newtonian nature. A boundary layer theory-based modeling framework is used to formulate the proposed model, which involves the use of basic partial differential equations that relate mass, momentum, energy, and nanoparticle concentration conservations. Based on similarity variables, we transformed the generated governing equations into ordinary differential equations. MATLAB's bvp4c code is used to handle the numerical treatment of the reduced system of ordinary differential equations. Through graph analysis, we determine and analyze the effects of different parameter characteristics on velocity, temperature, and concentration profiles. Tables are used to illustrate the physical consequences of governing factors, such as mass or heat transfer rate and skin friction. The main outcomes are: By increasing the power-low index, the velocity distribution is enhanced and fluid temperature is reduced. Upsurge in velocity-slip leads to a reduction in velocity distributions. Higher Deborah and Reynolds numbers increase velocity, whereas diminish the fluid temperature. Higher Thermophoresis values increase concentration and temperature. Higher Brownian motion values increase temperature and decline the concentration. Greater M, Re, and Ec values enhance temperature. Concentration profiles become thinner as the Schmidt number Sc and chemical parameters rise.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2025-05-30
DOI
https://doi.org/10.1016/j.rineng.2025.105564
Citations
2
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Significance of chemical reaction and velocity slip on Magnetized Sutterby Nanofluid over Stretchable Sheet

Bejawada Shankar Goud, Kotagiri Srihari, T Lokesh Babu
2 citations
Results in Engineering
Nanofluid Flow and Heat Transfer
1.35
article

Significance of chemical reaction and velocity slip on Magnetized Sutterby Nanofluid over Stretchable Sheet

Bejawada Shankar Goud, Kotagiri Srihari, T Lokesh Babu
article en
2 citations

Abstract

• Chemical reaction and velocity slip on magnetized Sutterby Nanofluid over Stretchable Sheet is investigated • The reasoning for the use of graphical representations that emphasise the physical consequences of embedded elements on the solution is discussed. • Nonlinear partial differential equations are transformed into ordinary differential equations by similarity conversions and resolved by using the MATLAB built-in solver bvp4c. • The investigation is influenced by several dimensionless parameters, including the Deborah number, Reynolds number, and the power-law index. The novelty of current analysis is to examine various effects on steady Sutterby nanofluid flow over a stretching sheet. This communication describes the current mathematical modeling of Sutterby nanofluids with radiant heat assessment. Buongiorno's model incorporates the thermophoresis and Brownian motion effects. As part of the present study, velocity slip and magnetic fields were also studied in relation to flow phenomena. A Sutterby fluid model is used in order to represent the non-Newtonian nature. A boundary layer theory-based modeling framework is used to formulate the proposed model, which involves the use of basic partial differential equations that relate mass, momentum, energy, and nanoparticle concentration conservations. Based on similarity variables, we transformed the generated governing equations into ordinary differential equations. MATLAB's bvp4c code is used to handle the numerical treatment of the reduced system of ordinary differential equations. Through graph analysis, we determine and analyze the effects of different parameter characteristics on velocity, temperature, and concentration profiles. Tables are used to illustrate the physical consequences of governing factors, such as mass or heat transfer rate and skin friction. The main outcomes are: By increasing the power-low index, the velocity distribution is enhanced and fluid temperature is reduced. Upsurge in velocity-slip leads to a reduction in velocity distributions. Higher Deborah and Reynolds numbers increase velocity, whereas diminish the fluid temperature. Higher Thermophoresis values increase concentration and temperature. Higher Brownian motion values increase temperature and decline the concentration. Greater M, Re, and Ec values enhance temperature. Concentration profiles become thinner as the Schmidt number Sc and chemical parameters rise.

Results in EngineeringVol. 26
Jawaharlal Nehru Technological University, Hyderabad (IN), Chaitanya Bharathi Institute of Technology (IN), Gandhi Medical College & Hospital (IN)
Openalex Percentile: Top 20%
Nanofluid Flow and Heat Transfer
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.