Fracture Prediction of the Self Adjusting File Using Force and Vibration Signature Analysis View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019-07-03

AUTHORS

Ankit Nayak , P. K. Kankar , Prashant K. Jain , Niharika Jain

ABSTRACT

The Self-adjusting file (SAF) (Self-adjusting file (SAF) is the most popular Endodontic file of the latest generation. Unique properties Self-adjusting file (SAF) like adjustable, adaptable, thin-walled, hollow pointed cylindrical lattice-like structure and shaping ability, makes it different from other Endodontic file. Endodontist can easily shape oval or flat root canals Self-adjusting file (SAF). Self-adjusting file (SAF) has abrasive particles on the lattice structure. It performs transline motion in the root canal at 83.33 Hz. In the transline motion Self-adjusting file (SAF), abrasive particles dislodge material from the inner wall of the root canal. During root canal shaping, the endodontic instruments may get fractured which is one of the iatrogenic error involved with root canal instrumentation. Continuous monitoring of the Endodontic file may help to avoid such fracture Self-adjusting file (SAF). In this work, Force and Vibration signatures Self-adjusting file (SAF) were analyzed to predict the fracture Self-adjusting file (SAF). For Force and Vibration analysis simulated root canals (Endo Training Bloc-J) were held in a vice which was connected with the accelerometer and dynamometer to acquire Force and Vibration signature of root canal shaping. The features from Force and Vibration signatures were calculated. On the analysis of these features, the failure Self-adjusting file (SAF) was predicted. It was concluded that the Vibration signature of the simulated root canal can be used to predict the fracture Self-adjusting file (SAF) to prevent the treatment from iatrogenic errors related to instrument failure. More... »

PAGES

643-649

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-19894-7_49

DOI

http://dx.doi.org/10.1007/978-3-030-19894-7_49

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1117725949


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