Department of Endodontics, Faculdade de Medicina Dentária, Universidade de Lisboa, Lisbon, Portugal.
IDMEC, Department of Mechatronics, Universidade de Évora, Évora, Portugal.
Int Endod J. 2022 Dec;55(12):1394-1403. doi: 10.1111/iej.13827. Epub 2022 Sep 10.
This study aimed to experimentally validate a computational fluid dynamics (CFD) model, using micro-particle image velocimetry (micro-PIV) measurements of the irrigation flow velocity field developed in confluent canals during irrigation with a side-vented needle.
A microchip with confluent canals, manufactured in polydimethylsiloxane was used in a micro-PIV analysis of the irrigation flow using a side-vented needle placed 3 mm from the end of the confluence of the canals. Velocity fields and profiles were recorded for flow rates of 0.017 and 0.1 ml/s and compared with those predicted in CFD numerical simulations (using a finite volume commercial code - FLUENT) for both laminar and turbulent regimes.
The overall flow pattern, isovelocity and vector maps as well as velocity profiles showed a close agreement between the micro-PIV experimental and CFD predicted data. No relevant differences were observed between the results obtained with the laminar and turbulent flow models used.
Results showed that the laminar CFD modelling is reliable to predict the flow in similar domains.
本研究旨在通过微粒子图像测速（micro-PIV）测量侧孔针在汇合管中冲洗时的冲洗流速度场，对计算流体动力学（CFD）模型进行实验验证。
使用微芯片上带有汇合管的聚二甲基硅氧烷，通过侧孔针放置在距汇合管末端 3mm 处进行微 PIV 分析，对侧孔针冲洗时的流动进行分析。记录了流速为 0.017 和 0.1ml/s 时的速度场和速度分布，并与 CFD 数值模拟（使用有限体积商业代码-FLUENT）在层流和湍流两种情况下的预测值进行了比较。
总体流动模式、等速图和矢量图以及速度分布都显示出微 PIV 实验数据和 CFD 预测数据之间非常吻合。使用的层流和湍流流动模型得到的结果之间没有观察到明显的差异。
结果表明，CFD 层流模型能够可靠地预测类似区域的流动。
