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A Review on Blood Flow Simulation in Stenotically Diseased Arteries
G Shankar1, Dharmendra Tripathi2, P Deepalakshmi1
1Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India.
This review explores mathematical and numerical modeling of blood flow in stenosed arteries. It highlights advancements in understanding cardiovascular disease onset and mitigation strategies for patients.
Area of Science:
- Cardiovascular fluid dynamics
- Biomedical engineering
- Mathematical modeling
Background:
- Heart diseases, including stroke and heart attacks, are often caused by disrupted blood flow due to arterial constriction (stenosis).
- Atherosclerosis and plaque accumulation are common causes of stenosis, impacting global health.
- Theoretical and computational studies complement clinical research, offering insights into hemodynamic disorders.
Purpose of the Study:
- To review recent mathematical and numerical modeling advancements in blood flow within stenosed arteries.
- To expand understanding of cardiovascular disease onset and patient mitigation strategies.
- To provide a comprehensive resource for multidisciplinary researchers.
Main Methods:
- Appraisal of over 100 recent articles from reputable journals.
- Focus on methodologies for modeling, numerical simulation, and evaluation of hemodynamic characteristics.
- Tabular organization of geometries and blood behavior (fluids) from 2015-2025.
Main Results:
- Diverse aspects of stenotic hemodynamics have been explored under various assumptions (fluid models, artery characteristics, solution techniques).
- Multi-physical effects like heat transfer, mass diffusion, and nanoparticle effects have been considered.
- Sophisticated insights into hemodynamics associated with cardiovascular diseases and mitigation strategies are provided.
Conclusions:
- Mathematical and numerical modeling significantly enhance the understanding of blood flow in stenosed arteries.
- These studies offer valuable insights for disease onset prediction and the development of mitigation strategies.
- The review serves as a crucial resource for mathematicians, bioengineers, computer scientists, and medical researchers, outlining future research directions.
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