Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18846
Title: Nickel-Titanium Endodontic File Degradation Assessment via Multi-sensor Fusion and Composite Wear Index: In-Vitro Study
Authors: Tripathi, Apoorv
Kankar, Pavan Kumar
Miglani, Ankur
Jha, Hem Chandra
Issue Date: 2026
Publisher: Springer
Citation: Tripathi, A., Kankar, P. K., Miglani, A., Jha, H. C., Gupta, N., & Mishra, R. (2026). Nickel-Titanium Endodontic File Degradation Assessment via Multi-sensor Fusion and Composite Wear Index: In-Vitro Study. Mapan - Journal of Metrology Society of India. https://doi.org/10.1007/s12647-026-00952-z
Abstract: Standard root canal treatment involves cleaning, shaping, and enlarging the canals, a process that carries a high risk of file fatigue and failure. While Ni–Ti shape memory alloy files have reduced the frequency of these errors, their wear and fatigue remain abrupt and unpredictable for the practitioner. In this study, a measurement-driven methodology is developed to quantify the in-situ wear progression of a WaveOne Gold (#25) endodontic file using multi-sensor metrology and signal processing. Root canal procedures on extracted human teeth are instrumented with three synchronized sensors—a dynamometer (force), an accelerometer (vibration), and a microphone (acoustic emission)—to acquire high-resolution time-series data under realistic operating conditions. Parameters such as RMS, mean, and Standard deviation fail to provide an accurate understanding of file wear and are less sensitive to sudden changes due to file wear. In this study, force, vibration and acoustics signals are analyzed to calculate various time and frequency-based parameters. These parameters are then used to calculate the composite wear index of the file, indicating the relative wear of the file as opposed to when it was new. The study shows that increase in composite wear index more than 50% indicates severe damage to the endodontic file. This metrology-based framework highlights how integrated sensing, feature engineering, and condition-index formulation can support evidence-based file replacement decisions and enable predictive maintenance strategies for rotary endodontic instruments. © The Author(s), under exclusive licence to Metrology Society of India 2026.
URI: https://dx.doi.org/10.1007/s12647-026-00952-z
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18846
ISSN: 0970-3950
Type of Material: Journal Article
Appears in Collections:Department of Mechanical Engineering
Mehta Family School of Biosciences and Biomedical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: