Peristaltic nanofluid flow analysis inside wavy channels for pharmacological applications

This study presents a two-phase model to simulate and analyze the peristaltic flow of nanofluids through a wavy-shaped channel, with significant applications in drug delivery systems in pharmacology and blood pumps. The research aims to investigate the temperature field and nanoparticle volume fraction, providing insights into heat and mass transfer behaviors in biomedical and industrial applications. The Adams-Bashforth numerical method has been employed to obtain the model results, ensuring accuracy and reliability. A comparison with two published works demonstrates high precision and consistency in the findings. Key results indicate a direct correlation between the Brownian motion parameter (N b ) and the temperature profile, where an increase in N b from 3 to 7 leads to a 27 % rise in temperature at η = 0.3. Additionally, an increase in N b enhances the nanofluid concentration, with a 15 % rise in nanoparticle fraction observed at η = 0.5. These findings contribute to optimizing nanofluid-based biomedical devices and improving thermal management in engineering applications.

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Publication Details

Journal
Results in Chemistry
Published
2025-02-20
DOI
https://doi.org/10.1016/j.rechem.2025.102128
Citations
10
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
6.74
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article

Peristaltic nanofluid flow analysis inside wavy channels for pharmacological applications

S. E. Ghasemi, A.A. Ranjba
10 citations
Results in Chemistry
Nanofluid Flow and Heat Transfer
6.74
article

Peristaltic nanofluid flow analysis inside wavy channels for pharmacological applications

S. E. Ghasemi, A.A. Ranjba
article en
10 citations

Abstract

This study presents a two-phase model to simulate and analyze the peristaltic flow of nanofluids through a wavy-shaped channel, with significant applications in drug delivery systems in pharmacology and blood pumps. The research aims to investigate the temperature field and nanoparticle volume fraction, providing insights into heat and mass transfer behaviors in biomedical and industrial applications. The Adams-Bashforth numerical method has been employed to obtain the model results, ensuring accuracy and reliability. A comparison with two published works demonstrates high precision and consistency in the findings. Key results indicate a direct correlation between the Brownian motion parameter (N b ) and the temperature profile, where an increase in N b from 3 to 7 leads to a 27 % rise in temperature at η = 0.3. Additionally, an increase in N b enhances the nanofluid concentration, with a 15 % rise in nanoparticle fraction observed at η = 0.5. These findings contribute to optimizing nanofluid-based biomedical devices and improving thermal management in engineering applications.

Results in ChemistryVol. 14
University of Science and Technology of Mazandaran (IR), Babol University of Medical Sciences (IR)
Openalex Percentile: Top 3%
Nanofluid Flow and Heat Transfer
6.74
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