Optimizing mesh configurations, dynamic wall motion, and boundary conditions in computational fluid mechanics models accurately captures vortex ring dynamics for cardiovascular modeling.
Optimizing computational fluid dynamics parameters, including mesh configurations and dynamic wall motion, is essential for accurately simulating left ventricular vortex ring dynamics.
In this study, we present a comprehensive numerical analysis of blood flow within human left ventricle models, with particular emphasis on optimizing simulation conditions to enhance the realism and computational efficiency of heart flow dynamics. The objective is to determine the most effective mesh configurations, flow conditions, and boundary settings necessary for accurately capturing the formation and behavior of the vortex ring—a pivotal element in ventricular flow dynamics. Utilizing a computational fluid mechanics approach, we review the influence of both idealized and patient-specific geometries on simulation outcomes. It is imperative to consider the necessity of dynamic wall motion and the precise calibration of inlet and outlet boundary conditions, which must be designed to mimic physiological conditions as accurately as possible. These factors are of paramount importance in achieving a balance between computational resource demands and the fidelity of the simulations, thereby providing valuable insights for future cardiovascular modeling efforts. Tutorials explaining details of the simulations and the codes used are included in ModelFLOWs-app website 14 . • Capturing vortex ring dynamics aids in diagnosing cardiovascular conditions. • Optimized mesh configurations enhance the accuracy of ventricular flow simulations. • Dynamic wall motion calibration is critical for realistic heart flow modeling. • Inlet and outlet boundary conditions significantly impact vortex ring formation.
Lazpita et al. (Sun,) conducted a other in Ventricular flow dynamics. Numerical simulations of heart flow dynamics was evaluated on Optimization of simulation conditions to capture vortex ring formation. Optimizing mesh configurations, dynamic wall motion, and boundary conditions in computational fluid mechanics models accurately captures vortex ring dynamics for cardiovascular modeling.