Fluids dynamics of non-Newtonian power-law fluids: Investigating separation points on cylindrical shapes

The theoretical investigation of flow separation in non-Newtonian fluids characterized by power-law behavior remains unexplored in the existing literature, particularly concerning axisymmetric surfaces that exhibit surface curvature. This study aims to analyze flow separation in a non-Newtonian context, extending insights from Newtonian fluids to a range of cylindrical geometries, from uniform circular cylinders to more streamlined shapes. We enhanced current transformation methods for variable radius cylinders with transverse curvature applicable to inelastic fluids. By applying Howarth's retarded flow model, characterized by a decrease in longitudinal flow, we introduced a variable radius and specific free-stream conditions, resulting in a non-similar problem that influences flow characteristics. The Keller-box method was employed to obtain solutions to the governing equations, with validation against known Newtonian cases. Our results demonstrate that the separation length increases with a power-law index of 0.9 × 6.11%, 6.54%, 6.68%, 4.84%, and 4.98% across body contour parameters from 0.0 to 1.0, compared to the Newtonian case. At a power-law index of 0.4, the increases are significantly higher at 45.38%, 40.47%, 44.89%, 38.91%, and 36.16%. Additionally, for a transverse curvature parameter of 5, the increases compared to Newtonian fluids are 9.72%, 8.59%, 9.68%, 9.54%, and 10.40%. These findings highlight the unique flow dynamics associated with non-Newtonian fluids.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0259287
Citations
3
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
2.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fluids dynamics of non-Newtonian power-law fluids: Investigating separation points on cylindrical shapes

Babar Hussain Shah, Zhili Tang
3 citations
Physics of Fluids
Rheology and Fluid Dynamics Studies
2.16
article

Fluids dynamics of non-Newtonian power-law fluids: Investigating separation points on cylindrical shapes

Babar Hussain Shah, Zhili Tang
article en
3 citations

Abstract

The theoretical investigation of flow separation in non-Newtonian fluids characterized by power-law behavior remains unexplored in the existing literature, particularly concerning axisymmetric surfaces that exhibit surface curvature. This study aims to analyze flow separation in a non-Newtonian context, extending insights from Newtonian fluids to a range of cylindrical geometries, from uniform circular cylinders to more streamlined shapes. We enhanced current transformation methods for variable radius cylinders with transverse curvature applicable to inelastic fluids. By applying Howarth's retarded flow model, characterized by a decrease in longitudinal flow, we introduced a variable radius and specific free-stream conditions, resulting in a non-similar problem that influences flow characteristics. The Keller-box method was employed to obtain solutions to the governing equations, with validation against known Newtonian cases. Our results demonstrate that the separation length increases with a power-law index of 0.9 × 6.11%, 6.54%, 6.68%, 4.84%, and 4.98% across body contour parameters from 0.0 to 1.0, compared to the Newtonian case. At a power-law index of 0.4, the increases are significantly higher at 45.38%, 40.47%, 44.89%, 38.91%, and 36.16%. Additionally, for a transverse curvature parameter of 5, the increases compared to Newtonian fluids are 9.72%, 8.59%, 9.68%, 9.54%, and 10.40%. These findings highlight the unique flow dynamics associated with non-Newtonian fluids.

Physics of FluidsVol. 37(3)
Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 15%
Rheology and Fluid Dynamics Studies
2.16
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.