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

Nayak, Ankit; Kankar, Pavan Kumar; Jain, Prashant K.; Jain, Niharika

doi:10.1007/978-3-030-19894-7_49

Cited by 3 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was evident from the responses that as the force increases, the maximum amplitude of the vibration also increases. Some of the previous authors 19,26,27,42 have reported the same observation as observed in this study.…”

Section: Fesem Analysissupporting

confidence: 90%

“…Most of the authors used the simulated root canal to evaluate and analyse the signal. 19,[27][28][29]42 The simulated root canal does not provide the actual behaviour of the root canal because they have used either curve or straight root canal. However, human extracted tooth provides the actual behaviour of the root canal because of the distinct morphology of the canal.…”

Section: Discussionmentioning

confidence: 99%

“…Force signals were sampled at 7.1 kHz, and vibration signals at 51.2 kHz. 19,27 The accelerometer and dynamometer were connected to the data acquisition system, which converts voltage signal and current signal into the respective value of vibration and force. DAQ system was connected to the desktop and laptop for transferring the data.…”

Section: Experimental Setup and Data Acquisitionmentioning

confidence: 99%

“…They emphasized that rotatory endodontic motors do not provide significant results in clockwise and counterclockwise peaks but manual preparation relatively showed significant peaks as compared to rotatory instruments. 18 Nayak et al 19 acquired the force and vibration signal experienced by endodontic files in the root canal treatment process and predicted the fracture of the self-adjusting file by statistical analysis of force and vibration signals.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Force and vibration analysis in biomechanical preparation of root canals using reciprocating endodontic file system: In vitro study

Thakur

Kankar

Parey

et al. 2021

Proc Inst Mech Eng H

View full text Add to dashboard Cite

The shaping and cleaning of the root canal are very important in root canal treatment. The excessive force and vibration during biomechanical preparation of the root canal may result in failure of the endodontic file. In this study, force and vibration analysis was carried out during root canal preparation. The samples of human extracted (premolar) teeth were provided by the College of Dental Science and Hospital. Endodontic instruments for reciprocating motion, such as the WaveOne Gold file system, had been used for root canal preparation. Force and vibration signals were recorded by dynamometer and accelerometer, respectively. The acquired signals were denoised using the db4 (SWT denoising 1-D) wavelet. Four levels of decomposition were carried out for each signal. The signal denoising technique was used to remove unwanted noise from the acquired signal. FESEM analysis was used to visualize the levels of severity of endodontic files during the cleaning and shaping of the root canal. In most of the cases, the failure occurred due to the improper use of the root canal instrumentation. The optimum amount of force was used to avoid the file failure and provided the proper instrumentation. The curve fitting regression model was used to find the interdependency between force and vibration.

show abstract

Section: Fesem Analysissupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Experimental Setup and Data Acquisitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Force and vibration analysis in biomechanical preparation of root canals using reciprocating endodontic file system: In vitro study

Thakur

Kankar

Parey

et al. 2021

Proc Inst Mech Eng H

View full text Add to dashboard Cite

show abstract

“…The lower nozzle temperature, high feed speed, and high layer thickness causing the insufficient melting of filament material due to which certain semi-solid particles of filament materials may be sticking or adhering inside the surface of the extruder assembly. The frequency-domain signals help to decode the vibration signature corresponding to the different vibration frequencies [15]. In this article, the analysis of extruder signals is required to measure.…”

Section: Resultsmentioning

confidence: 99%

Experimental Investigation of Nozzle Clogging Using Vibration Signal-Based Condition Monitoring for Fused Deposition Modeling

Jhodkar

Nayak

Gupta

2021

MSF

Self Cite

View full text Add to dashboard Cite

Fused deposition modeling (FDM) or 3D printing is one of the promising techniques widely preferred to fabricate complex and customized 3D objects or prototypes for various engineering and non-engineering applications. With the growing demands of customized prototypes, researchers are facing a major challenge for maintaining effective part quality with adequate surface finish and strength; and minimizing the cost, defects, and waste in 3D printing. Condition monitoring is one of the strategies to achieve the aforementioned. It has a huge potential to minimize defects and print failures in 3D printing. The main objective of this research work is to perform online condition monitoring of the nozzle status with the help of vibration signals in fused deposition modelling process. The effect of nozzle clogging on the consistency of material deposition and its effect on surface finish has experimentally investigated in this work. The set of experiments were performed by artificially creating the condition of nozzle clogging to investigate the effect of nozzle clogging on print quality (surface finish). Nozzle clogging condition was created by increasing the feed rate of polylactic acid (PLA) filament at a low heat supply rate to the nozzle by modifying the commands of 3D printer. The layer thickness was varied throughout the experiments to observe the nozzle clogging. The vibrations signals were acquired by using an accelerometer that was mounted near the nozzle. The data acquisition frequency of the accelerometer was 12500Hz. Further, the acquired vibration signals were analyzed using the Fast Fourier transformation (FFT) signal processing technique. Results revealed that nozzle clogging severely affects surface quality and geometrical accuracy of the fabricated 3D part due to nozzle vibration and non-uniform material deposition. Moreover, nozzle clogging and its relevant consequences like non uniform material deposition can be monitored using vibration signal-based condition monitoring during part fabrication and based upon that appropriate measures can be taken for defects and waste elimination.

show abstract

Acquisition and Analysis of Endodontic Handpiece Vibration Signals

Nayak

Kankar

Jain

et al. 2020

Springer Proceedings in Materials

View full text Add to dashboard Cite

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

Cited by 3 publications

References 10 publications

Force and vibration analysis in biomechanical preparation of root canals using reciprocating endodontic file system: In vitro study

Force and vibration analysis in biomechanical preparation of root canals using reciprocating endodontic file system: In vitro study

Experimental Investigation of Nozzle Clogging Using Vibration Signal-Based Condition Monitoring for Fused Deposition Modeling

Acquisition and Analysis of Endodontic Handpiece Vibration Signals

Contact Info

Product

Resources

About