Computational hemodynamics investigation of the heat transfer of blood flow in different geometries of the patient’s body on different scales

Abstract

Computational hemodynamics (CHD) simulation is regarded as a significant and robust method that is helpful for surgeons and the health recovery of patients. Since the Magnetic Resonance Imaging (MRI) and Digital Imaging and Communications in Medicine (DICOM) methods are used, the 3D geometry shows an acceptable accuracy. The geometry is constructed based on these techniques. The blood flow is regarded as non-Newtonian, incompressible and laminar steady fluid. We numerically investigated the impact of dimensionless temperature and Nusselt number (Nu) and average wall shear stress and pressure drop considering the impact of the heat developed under body conditions. The heart valve disease showed a more salient effect on blood flow by increasing the velocity at the heart valve. In the second adulthood age type, the mean rise in the dimensionless pressure drop was 1.8549, while in the youth age type, the mean rise in the dimensionless wall shear was 1.5026. As the condition changes to severe aortic stenosis from mild stenosis, the reported parameters showed an increase. In all age types, severe stenosis showed the highest pressure drop change.