Numerical investigation of blood micromixing under surface acoustic waves using Carreau–Yasuda rheology and ALE-based fluid–structure interaction
Bulletin of Materials Science, cilt.49, sa.4, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 49 Sayı: 4
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s12034-026-03767-5
- Dergi Adı: Bulletin of Materials Science
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Compendex, INSPEC, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: ALE-based fluid–structure interaction, Blood micromixing, Carreau–Yasuda rheology, surface acoustic waves
- İstanbul Gelişim Üniversitesi Adresli: Evet
Özet
The primary objective of this study is to conduct a parametric analysis of the rheological behavior of blood flow in an acoustofluidic micromixing process. To account for viscosity effects, the Carreau–Yasuda fluid model is used to characterize blood flow. The micromixing performance of blood is examined across four Peclet numbers (90, 225, 360, and 450) and within a viscosity power index range of 0.3 to 0.7, corresponding to shear-thinning behavior. The numerical solution is obtained by decomposing the governing equations into three orders: zeroth-order, first-order, and second-order. The influence of channel material properties on micromixing efficiency is investigated by solving the fully coupled fluid–structure interaction (FSI) equations at the fluid–solid interface using the arbitrary Lagrangian–Eulerian (ALE) framework. The results indicate that an increase in viscosity generally weakens micromixing performance, except at a Peclet number of 90, where the trend is reversed. Additionally, as the Peclet number increases and viscosity decreases, the size of the generated vortices increases significantly. This study uniquely integrates the Carreau–Yasuda rheological model with ALE-based fluid–structure interaction, establishing a novel framework for blood micromixing. The findings highlight its potential to advance biomedical applications, particularly in lab-on-a-chip diagnostic devices and targeted drug-delivery systems.