Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories

Mars, William V.; Suter, Jesse D.; Bauman, Mark A.

doi:10.4271/2018-01-0623

Cited by 11 publications

(1 citation statement)

References 16 publications

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“…There are numerous studies in the literature focused on predicting and preventing target failure [34][35][36][37][38]. A similar case is presented in [39], where a predictive method based on fatigue tests is developed to enable control over the target. Recently, monitoring and diagnostic procedures have shifted towards technologies that incorporate the development of digital twins (DTs) [40,41].…”

Section: Introductionmentioning

confidence: 99%

Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File

Ruffa

Lugarà

Fulco

et al. 2023

Sensors

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Prognostic and health management technologies are increasingly important in many fields where reducing maintenance costs is critical. Non-destructive testing techniques and the Internet of Things (IoT) can help create accurate, two-sided digital models of specific monitored objects, enabling predictive analysis and avoiding risky situations. This study focuses on a particular application: monitoring an endodontic file during operation to develop a strategy to prevent breakage. To this end, the authors propose an innovative, non-invasive technique for early fault detection based on digital twins and infrared thermography measurements. They developed a digital twin of a NiTi alloy endodontic file that receives measurement data from the real world and generates the expected thermal map of the object under working conditions. By comparing this virtual image with the real one acquired by an IR camera, the authors were able to identify an anomalous trend and avoid breakage. The technique was calibrated and validated using both a professional IR camera and an innovative low-cost IR scanner previously developed by the authors. By using both devices, they could identify a critical condition at least 11 s before the file broke.

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