Experimental validation of a computational fluid dynamics model using micro-particle image velocimetry of the irrigation flow in confluent canals

Int Endod J. 2022 Dec;55(12):1394-1403. doi: 10.1111/iej.13827. Epub 2022 Sep 10.

Abstract

Aim: 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.

Methodology: 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.

Results: 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.

Conclusions: Results showed that the laminar CFD modelling is reliable to predict the flow in similar domains.

Keywords: computational fluid dynamics; confluent canals; endodontics; irrigation; micro-particle image velocimetry; positive pressure irrigation.

MeSH terms

  • Computer Simulation
  • Endodontics
  • Hydrodynamics*
  • Needles*
  • Rheology