Peristaltic nanofluid flow analysis inside wavy channels for pharmacological applications

IF 2.5 Q2 CHEMISTRY, MULTIDISCIPLINARY

Results in Chemistry Pub Date : 2025-02-20 DOI:10.1016/j.rechem.2025.102128

S.E. Ghasemi , A.A. Ranjbar

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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.

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本研究提出了一种两相模型，用于模拟和分析纳米流体通过波浪形通道的蠕动流，该模型在药理学中的给药系统和血液泵中有重要应用。研究旨在调查温度场和纳米粒子体积分数，为生物医学和工业应用中的传热和传质行为提供见解。研究采用了 Adams-Bashforth 数值方法来获取模型结果，以确保准确性和可靠性。与已发表的两篇论文进行比较后，结果表明精确度和一致性都很高。主要结果表明，布朗运动参数（Nb）与温度曲线之间存在直接关联，在 η = 0.3 时，Nb 从 3 增加到 7 会导致温度上升 27%。此外，Nb 的增加会提高纳米流体的浓度，在 η = 0.5 时，纳米粒子分数会上升 15%。这些发现有助于优化基于纳米流体的生物医学设备和改善工程应用中的热管理。

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