Entropy generation optimisation on the peristaltic mechanism of non-Newtonian Ree-Eyring fluid with variable liquid properties

Abstract The current study focuses on the entropy generation characteristics in the peristaltic mechanism of a non-Newtonian Ree-Eyring fluid in an axisymmetric channel. Temperature-dependent variable fluid properties, such as varying viscosity and thermal conductivity, are considered. Viscous dissipation and temperature-dependent fluid properties are integrated into the analysis to better reflect realistic transport conditions. The momentum equations govern the flow, and the energy equation is also considered in the study. No-slip conditions are employed at the boundary of the uniform channel, and non-linear coupled equations are solved using the perturbation technique. Solutions are obtained for velocity, temperature, concentration, and stream functions. Graphical representations were generated using the software MATLAB R2024a. These results highlight the importance of temperature-dependent viscosity and thermal conductivity in the behaviour of fluids. The study demonstrated that increased temperature-dependent viscosity considerably enhanced the velocity profile. Results also reveal that increasing thermal conductivity and reducing viscosity gradients can significantly minimise entropy generation. This inverse relationship highlights the importance of assessing thermodynamic and rheological parameters when attempting to model or control fluid movement. The optimisation framework offers valuable insights for designing energy-efficient peristaltic transport systems involving complex fluids. These findings are especially valuable for enhancing peristaltic transport processes, including biomedical applications such as drug delivery and endoscopic applications, industrial applications such as polymer processing, heat transfer in microchannels, and chemical reactors.

Authors

Institutions

Publication Details

Journal
Boundary Value Problems
Published
2025-09-30
DOI
https://doi.org/10.1186/s13661-025-02127-2
Citations
3
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
2.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Entropy generation optimisation on the peristaltic mechanism of non-Newtonian Ree-Eyring fluid with variable liquid properties

Prathiksha Sanil, Hanumesh Vaidya, K. V. Prasad, M R Madhavi et al.
3 citations
Boundary Value Problems
Nanofluid Flow and Heat Transfer
2.02
article

Entropy generation optimisation on the peristaltic mechanism of non-Newtonian Ree-Eyring fluid with variable liquid properties

Prathiksha Sanil, Hanumesh Vaidya, K. V. Prasad, M R Madhavi, Rajashekhar Choudhari, Manjunatha Gudekote
article en
3 citations

Abstract

Abstract The current study focuses on the entropy generation characteristics in the peristaltic mechanism of a non-Newtonian Ree-Eyring fluid in an axisymmetric channel. Temperature-dependent variable fluid properties, such as varying viscosity and thermal conductivity, are considered. Viscous dissipation and temperature-dependent fluid properties are integrated into the analysis to better reflect realistic transport conditions. The momentum equations govern the flow, and the energy equation is also considered in the study. No-slip conditions are employed at the boundary of the uniform channel, and non-linear coupled equations are solved using the perturbation technique. Solutions are obtained for velocity, temperature, concentration, and stream functions. Graphical representations were generated using the software MATLAB R2024a. These results highlight the importance of temperature-dependent viscosity and thermal conductivity in the behaviour of fluids. The study demonstrated that increased temperature-dependent viscosity considerably enhanced the velocity profile. Results also reveal that increasing thermal conductivity and reducing viscosity gradients can significantly minimise entropy generation. This inverse relationship highlights the importance of assessing thermodynamic and rheological parameters when attempting to model or control fluid movement. The optimisation framework offers valuable insights for designing energy-efficient peristaltic transport systems involving complex fluids. These findings are especially valuable for enhancing peristaltic transport processes, including biomedical applications such as drug delivery and endoscopic applications, industrial applications such as polymer processing, heat transfer in microchannels, and chemical reactors.

Boundary Value ProblemsVol. 2025(1)
Manipal Academy of Higher Education (IN), Sri Krishnadevaraya University (IN), Vijayanagara Sri Krishnadevaraya University (IN)
Openalex Percentile: Top 12%
Nanofluid Flow and Heat Transfer
2.02
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.