Magneto Williamson nano fluid movement upon a non-linearly stretching surface under radiation, heat source, and activation energy

Abstract This paper examines the two-dimensional flow of Williamson nanofluid upon a nonlinear stretching surface with the impact of MHD and porosity. Heat source, viscous dissipation, and thermal radiation influences are studied. Also, the impact of Brownian diffusion, Thermophoresis and activation energy attributes are considered. To solve the current problem, the pertinent partial differential equations are transformed into a set of non-linear ordinary differential equations by utilising the suitable similarity transformations available. Utilising the Keller-Box approach, the equations that were produced are solved. The results reveal that the magnetic parameter, porosity and Williamson parameter suppress velocity. Additionally, the radiation, magnetic, Eckert number, and porosity parameters will enhance thermal energy, while the Brownian motion shows the inverse tendency. Also, the concentration profile decreases in the case of the Magnetic parameter, Schmidt number. Also, the local parameters Nusselt number and Sherwood numbers are calculated for different values of the parameters. A comparative study of Skin friction number values is conducted for enhanced values of the Magnetic parameter. The current results are fairly in agreement with previous results.

Authors

Institutions

Publication Details

Journal
Chemical Product and Process Modeling
Published
2026-05-27
DOI
https://doi.org/10.1515/cppm-2026-0037
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Magneto Williamson nano fluid movement upon a non-linearly stretching surface under radiation, heat source, and activation energy

Sujatha Vardireddy, S. Kumari Vani Padmaja, Venkata Ramana Reddy Gurrampati, Raghavendra Ganesh Ganugapati et al.
Chemical Product and Process Modeling
Nanofluid Flow and Heat Transfer
article

Magneto Williamson nano fluid movement upon a non-linearly stretching surface under radiation, heat source, and activation energy

Sujatha Vardireddy, S. Kumari Vani Padmaja, Venkata Ramana Reddy Gurrampati, Raghavendra Ganesh Ganugapati, Wuriti Sridhar
article en

Abstract

Abstract This paper examines the two-dimensional flow of Williamson nanofluid upon a nonlinear stretching surface with the impact of MHD and porosity. Heat source, viscous dissipation, and thermal radiation influences are studied. Also, the impact of Brownian diffusion, Thermophoresis and activation energy attributes are considered. To solve the current problem, the pertinent partial differential equations are transformed into a set of non-linear ordinary differential equations by utilising the suitable similarity transformations available. Utilising the Keller-Box approach, the equations that were produced are solved. The results reveal that the magnetic parameter, porosity and Williamson parameter suppress velocity. Additionally, the radiation, magnetic, Eckert number, and porosity parameters will enhance thermal energy, while the Brownian motion shows the inverse tendency. Also, the concentration profile decreases in the case of the Magnetic parameter, Schmidt number. Also, the local parameters Nusselt number and Sherwood numbers are calculated for different values of the parameters. A comparative study of Skin friction number values is conducted for enhanced values of the Magnetic parameter. The current results are fairly in agreement with previous results.

Chemical Product and Process Modeling
Siddhartha Medical College (IN), Shreemati Nathibai Damodar Thackersey Women's University (IN), Koneru Lakshmaiah Education Foundation (IN)
Affordable and clean energy
Openalex Percentile: Top 10%
Nanofluid Flow and Heat Transfer
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.