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Unsteady Fractional MHD Flow of Blood-Based Au-Cu Hybrid Nanofluids: Coupled Heat-Mass Transfer with Dufour-Soret Effects and Biomedical Implications | ||
| Journal of Computational Applied Mechanics | ||
| دوره 57، شماره 2، تیر 2026، صفحه 195-211 اصل مقاله (1.12 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jcamech.2025.406512.1698 | ||
| نویسندگان | ||
| Ji-Huan He* 1؛ M. Y Adamu2؛ Isah Abdullahi2؛ Nuo Xu3؛ Chun-Hui He4 | ||
| 1School of Information Engineering, Yango University, Fuzhou, China | ||
| 2Department of Mathematics Abubakar Tafawa Balewa University Bauchi, Nigeria | ||
| 3School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China | ||
| 4School of Civil Engineering & Transportation, Foshan University, Foshan 528000, China | ||
| چکیده | ||
| This study investigates the unsteady magnetohydrodynamic (MHD) flow of blood-based Au-Cu hybrid nanofluids in cylindrical arteries, integrating thermal radiation, Joule heating, chemical reactions, and Dufour-Soret cross-diffusion effects. These effects are critical for biomedical applications like hyperthermia and targeted drug delivery. A Caputo time-fractional derivative is adopted to capture memory-dependent behaviors of biological fluids, which are typically overlooked by classical models. The governing equations for velocity, temperature, and nanoparticle concentration are transformed via Laplace transforms and solved semi-analytically using the Concentrated Matrix Exponential method. This ensures accuracy and computational efficiency. The results indicate that increasing the fractional-order parameter delays momentum, thermal, and concentration diffusion, thereby reflecting stronger memory effects. Magnetic fields have been shown to reduce velocity but enhance temperature via Joule heating. Furthermore, higher Dufour numbers have been demonstrated to strengthen temperature gradients, while elevated Soret numbers have been shown to intensify concentration gradients. This article’s novelty lies in its integration of fractional calculus with hybrid nanofluid MHD modeling, accounting for complex coupled effects. The proposed model provides more realistic predictions of unsteady biological flows, offering valuable insights for optimizing biomedical therapies and cardiovascular device design. | ||
| کلیدواژهها | ||
| Hybrid nanofluid flow؛ Fractional-order model؛ MHD؛ Dufour and Soret effects؛ Thermal radiation؛ Chemical reaction؛ Arterial flow؛ Biomedical applications | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 145 تعداد دریافت فایل اصل مقاله: 327 |
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