Computational fluid dynamics of fluid transport and deposition of particles under unsteady flow in human fluid system

Abstract

Computational fluid dynamics has been widely used to investigate flow phenomena in many different applications. This study focuses on the development of computational fluid dynamic model in biomedical applications, including the flow within human respiratory system and the flow within human circulating system. For the model of respiratory system, electrostatic charge model was coupled, and the effect of breathing frequency was investigated. The accomplishment of the study will gain better understanding of the hydrodynamics when applying the electrostatic field, and will use to identify the potential aerosol deposition location. The aerosol properties and morphologies were also considered their effect on the hydrodynamics of the particles. This will be a guideline for the pharmacist to design a specific type of aerosol for the patient. The mathematical models for biochemical interaction were implemented for the study of early stage atherosclerotic lesion growth. The three-zone artery model was proposed as a framework for species transport in arterial wall. The species concentration inside the intima layer was examined as a sign of the early stage development of the plaque. The results showed compromise locations where the accumulation of the plaque occurs. The flow parameters were investigated statistically to identify the significant factors affecting the species concentration. The benefit of the study will yield the better understanding of the dominant factors controlling atherosclerosis growth, which then helps the physicians or technicians to deal more efficient future applications of the precision medicine.