研究狭窄血管内磁辐射下纳米流体的流动，优化药物递送效率。
Magneto-radiative modelling and artificial neural network optimization of biofluid flow in a stenosed arterial domain
- 构建磁辐射与纳米颗粒耦合的血流模型，分析阻力与传热特性。
- 银纳米颗粒减少传热率，铜/氧化铝增加传热率，最大预测精度达0.99457。
- 麦克斯韦参数对阻力最敏感，适合医疗设备与精准治疗研究者。
心血管疾病日益复杂，传统疗法受限，亟需新型靶向药物递送系统以实现高效可控治疗，直接助力联合国可持续发展目标3（健康）与9（产业创新）。本研究分析了狭窄动脉域中卡森-麦克斯韦纳米流体的流动行为，详细评估了壁面摩擦力与传热速率。结果显示，卡森-麦克斯韦流体速度低于纯卡森流体，表明药物停留时间更长，有利于高效递送；传热速率随铜和氧化铝纳米颗粒体积分数升高而增加，随银纳米颗粒体积分数升高而下降。壁面摩擦系数在麦克斯韦参数每增加1单位时下降219%，而在卡森参数每增加1单位时上升66.1%。通过利文伯格-马夸特反向传播训练方案，基于磁辐射、线性热源、卡森-麦克斯韦参数及三金属纳米颗粒体积分数，对热流速率进行了预测，整体R值达0.99457。此外，阻力系数对麦克斯韦参数变化最为敏感。
原文摘要 · Abstract (English)
The increasing complexity of cardiovascular diseases and limitations in traditional healing methods mandate the invention of new drug delivery systems that assure targeted, effective, and regulated treatments, contributing directly to UN SDGs 3 and 9, thereby encouraging the utilization of sustainable medical technologies in healthcare. This study investigates the flow of a Casson-Maxwell nanofluid through a stenosed arterial domain. The quantities, such as skin friction and heat transfer rate, are analysed in detail. The Casson-Maxwell fluid shows a lower velocity profile than the Casson fluids, which indicates the improved residence time for efficient drug delivery. The heat transfer rate shows an increase with higher volume fractions of copper and aluminium oxide nanoparticles and a decrease with higher volume fractions of silver nanoparticles. The skin friction coefficient decreases by 219% with a unit increase in the Maxwell parameter, whereas it increases by 66.1% with a unit rise in the Casson parameter. This work supports SDGs 4 and 17 by fostering interdisciplinary learning and collaboration in fluid dynamics and healthcare innovation. Additionally, the rate of heat flow was forecasted (with an overall R-value of 0.99457) using the Levenberg-Marquardt backpropagation training scheme under the influence of magneto-radiative, linear heat source and Casson-Maxwell parameters along with the tri-metallic nanoparticle volume fractions. It is also observed that the drag coefficient is most sensitive to the changes in the Maxwell parameter.
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