预测炎症狭窄动脉中的纳米流体行为:神经网络和有限元素分析
Yasir Ul Umair Bin Turabi1, Shafee Ahmad2, Shams Ul Islam1
1Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan.
Computer methods in biomechanics and biomedical engineering
|January 21, 2025
概括
这项研究探讨了金纳米粒子在狭窄的动脉中增强的血液流动,发现增加的热传输与更高的狭窄严重性. 这项研究有助于心血管疾病治疗和药物输送策略.
科学领域:
- 心血管健康 心血管健康
- 生物流体动力学是什么
- 纳米技术 纳米技术
背景情况:
- 狭窄动脉给心血管健康带来了重大挑战.
- 血液流动和热传输在动脉疾病中至关重要.
- 纳米粒子提供了改善热性能和药物输送的潜力.
研究的目的:
- 用金纳米粒子研究狭窄动脉中的热传递和血液流动.
- 分析狭窄症严重程度和纳米颗粒度对流动动学的影响.
- 评估混合有限元法 (FEM) 和人工神经网络 (ANN) 方法的有效性.
主要方法:
- 用金纳米粒子增强的牛顿流体模拟的血液.
- 混合FEM用于数值建模和ANN用于稳定性预测.
- 对狭窄症严重程度,纳米粒子体积分数和炎症的参数分析.
主要成果:
- 狭窄症的严重程度增加 (60-80%) 增加了45%的热传递.
- 较高的纳米粒子体积分数增强了动量扩散和形大小.
- 炎症显著改变了流动模式和热传输.
结论:
- 金纳米粒子集成有效地增强了狭窄动脉中的热传递.
- FEM-ANN混合模型为生物流体系统分析提供了一个强大的框架.
- 这些发现对心血管疾病治疗和向药物输送有影响.
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