Authors
Byeong-Cheon Kim, School of Mechanical Engineering, University of Ulsan
Paul F. Fischer, University of Illinois at Urbana-Champaign
Misun Min, Argonne National Laboratory
Kwan Yong Lee, Seoul St. Mary’s Hospital
Sang-Wook Lee, School of Mechanical Engineering, University of Ulsan
DOI: https://doi.org/10.1103/APS.DFD.2024.GFM.V2682691
This study explores the transition to turbulence in a healthy aorta, a condition usually characterized by laminar flow despite high Reynolds numbers. However, recent MRI studies have revealed instances of turbulence in healthy individuals. Using direct numerical simulation (DNS) and the spectral element method (SEM), the researchers numerically solved the three-dimensional, incompressible Navier-Stokes equations to investigate this phenomenon. Pulsatile inflow conditions were applied to the aortic inlet, with varying flow distributions to the three primary branches. The study found that turbulence primarily begins near the inner wall of the aortic arch during systolic deceleration, with the flow remaining laminar during systolic acceleration. Flow distribution significantly influences turbulence progression, and the flow within the primary branches was notably disturbed during systole. The findings offer a detailed analysis of the spatial and temporal evolution of aortic turbulence and its relationship to flow distribution and aortic structure.This research was supported by Basic Science Research Program funded by the National Research Foundation of Korea (NRF) (2020R1I1A3066617)
Authors
Byeong-Cheon Kim, School of Mechanical Engineering, University of Ulsan
Kyoungsik Chang, School of Mechanical Engineering, University of Ulsan
Sang-Wook Lee, School of Mechanical Engineering, University of Ulsan
This recognition was awarded for my project titled 'Sliding of Microbubbles over the Different Types of Wall Conditions' in the KISTI Super-Vision Challenge. The project focused on the advanced visualization of computational fluid dynamics data, illustrating how microbubbles interact with various wall conditions to achieve drag reduction. This work showcased innovative use of computational techniques and creativity in presenting complex scientific phenomena.