Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach

Version 1 : Received: 5 January 2024 / Approved: 5 January 2024 / Online: 5 January 2024 (12:13:56 CET)

A peer-reviewed article of this Preprint also exists.

Dave, R.; Luraghi, G.; Sierad, L.; Migliavacca, F.; Kung, E. Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach. J. Funct. Biomater. 2024, 15, 76. Dave, R.; Luraghi, G.; Sierad, L.; Migliavacca, F.; Kung, E. Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach. J. Funct. Biomater. 2024, 15, 76.

Abstract

Tissue engineered heart valves can grow, repair, and remodel after implantation, presenting a more favorable long-term solution compared to mechanical and porcine valves. Achieving functional engineered valve tissue requires the maturation of human cells seeded onto valve scaffolds under favorable growth conditions in bioreactors. The mechanical stress and strain on developing valve tissue caused by different pressure and flow conditions in bioreactors are currently unknown. The aim of this study is to quantify the wall shear stress (WSS) magnitude in heart valve prostheses under different valve geometries and bioreactor flow rates. To achieve this, the study used fluid-structure interaction simulations to obtain the valve's opening geometries during the systolic phase. These geometries were then used in computational fluid dynamics simulations with refined near-wall mesh elements and ranges of prescribed inlet flow rates. The data obtained included histograms and regression curves that characterized the distribution, peak, and median WSS for various flow rates and opening configurations. The study also found that the upper region of the valve near the commissures experienced higher WSS magnitudes than the rest of the valve.

Keywords

wall shear stress quantification; TEHV; FSI; CFD; Computational Model

Subject

Engineering, Bioengineering

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