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contributor authorChavan, Chinmay
contributor authorZainab, Asma
contributor authorBanerjee, Debjyoti
date accessioned2024-12-24T19:07:46Z
date available2024-12-24T19:07:46Z
date copyright1/24/2024 12:00:00 AM
date issued2024
identifier issn2572-7958
identifier otherjesmdt_007_03_031009.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303334
description abstractAcute respiratory distress syndrome (ARDS) is a condition secondary to direct or indirect insult to lungs, leading to acute respiratory failure, and is associated with high mortality. Majority of the ARDS patients require mechanical ventilation, which acts as double-edged sword. Ventilator induced lung injury (VILI) is considered secondary to high inspiratory pressure and cyclical opening during inspiration, and collapse during expiration as suggested by ARDS network clinical trials. Other mechanism for VILI exist secondary to heterogeneous ventilation. To enumerate these mechanisms leading to VILI, a computational fluids dynamics (CFD) study was performed in this study to explore the flow patterns and the pressure distribution in a human tracheobronchial airway model from third to sixth generation branches. The authors validated the computational methodology and analyzed the results to obtain velocity profiles in the primary and secondary flow directions. The study investigated the role of various flow velocities corresponding to Reynolds number (Re) from 100 to 2000 on the pressure drops along branches and bifurcation zones. The identification of secondary flow patterns was critical in understanding the development of asymmetric velocity profiles in the triple bifurcation geometry. The observed patterns in pressure drops and velocity profiles over the laminar flow regime pave the path toward further development of a numerical model to aid treatment for patients with ARDS.
publisherThe American Society of Mechanical Engineers (ASME)
titleDeveloping a Computational Model of Lungs for Patients With Acute Respiratory Distress Syndrome
typeJournal Paper
journal volume7
journal issue3
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4064288
journal fristpage31009-1
journal lastpage31009-6
page6
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2024:;volume( 007 ):;issue: 003
contenttypeFulltext


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