Application of artificial intelligence in a visual-based fluid motion estimator surrounding a vibrating Eddy tip
Accepted: 24 January 2022
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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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