https://doi.org/10.32067/GIE.2021.35.02.50
Application of artificial intelligence in a visual-based fluid motion estimator surrounding a vibrating Eddy tip
Submitted: 17 December 2021
Accepted: 24 January 2022
Published: 2 May 2022
Accepted: 24 January 2022
Abstract Views: 658
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Aim: To improve our initial understanding of the vibrational behavior and fluid flow of an EDDY® tip when irrigation is activated using artificial intelligence (AI).
Methodology:A straight glass model was filled with a solution containing 3% NaOCl. A-28 mm polymer noncutting #20 4% taper file was driven by an air sonic handpiece at 6,200 Hz for five seconds. The fluid flow behavior was visualized using a Miro 320S high-speed imaging system (Phantom, Wayne, NJ, USA). The recordings of the hydrodynamic response were then analyzed using motion estimation program, supported by LiteFlowNet.
Results: Rapid fluid flow was visualized clearly in the model when activated by an air sonic driven EDDY® tip. The distal end of the EDDY® tip generated a near-wall high-gradient velocity apically in all directions of the oscillation.
Conclusions: The proposed motion estimation program, supported by LiteFlowNet, could perform flow estimation of a non-PIV experiment in detail.
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How to Cite
Peeters, H. H., Silitonga, F., & Zuhal, L. (2022). Application of artificial intelligence in a visual-based fluid motion estimator surrounding a vibrating Eddy tip . Giornale Italiano Di Endodonzia, 36(1). https://doi.org/10.32067/GIE.2021.35.02.50
Copyright (c) 2022 Harry Huiz Peeters, Faber Silitonga, Lavi Zuhal
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