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Computational fluid dynamics study in biomedical applications: a review


Citation

Basri, Ernnie Illyani and Basri, Adi Azriff and Riazuddin, Vizy Nazira and Shahwir, Siti Farhana and Zuber, Mohammad and Ahmad, Kamarul Arifin (2016) Computational fluid dynamics study in biomedical applications: a review. International Journal of Fluids and Heat Transfer, 1 (2). pp. 1-14. ISSN 0127-5690

Abstract

Computational Fluid Dynamics (CFD) is a widely adopted methodology of computer-based simulation in order to solve complex problems in many modern engineering fields as well as biomedical field. CFD is becoming a key component in developing updated designs and optimization through computational simulations, resulting in lower operating costs with enhanced efficiency. Even though biomedical application is pertaining to the complexity of human anatomy and human body fluid behaviour, the recent CFD in biomedical application is more accessible and practicable due to the availability of high performance hardware and software with advances in computer sciences. Many simulations and clinical results have been used to study the analyses in biomedical applications, particularly in blood flow and nasal airflow. The study of blood flow analysis includes the circulation of blood of ventricle function, coronary artery and heart valves. Meanwhile, the nasal airflow analysis consists of the basic airflow in human nose, drug delivery improvement and virtual surgery. Therefore, this review discusses the essential methodology of CFD as a reliable tool for researchers and medical scientist in understanding the physiology and pathophysiology of cardiovascular system and respiratory system through simulation. CFD plays a major role as a decision support prior to undertaking a real commitment to execute any medical design alterations and provide the direction to develop medical interventions.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Keywords: Computational Fluid Dynamics (CFD); Biomedical applications; Blood flow; Nasal air flow
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 06 Nov 2017 13:34
Last Modified: 06 Nov 2017 13:34
URI: http://psasir.upm.edu.my/id/eprint/55352
Statistic Details: View Download Statistic

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