About this Abstract |
Meeting |
2022 TMS Annual Meeting & Exhibition
|
Symposium
|
Biological Materials Science
|
Presentation Title |
Dynamic Finite Element Analysis of QPD Crack Detection in Natural Teeth |
Author(s) |
Jie Shen, Omid Komari, Aboozar Mapar, Cherilyn G. Sheets, James C. Earthman |
On-Site Speaker (Planned) |
Jie Shen |
Abstract Scope |
Quantitative percussion diagnostics (QPD) has been used to detect cracks in teeth. The goal of the present research is to use finite element analysis (FEA) to understand the complexity and patterns of force-time plots by QPD with cracked teeth. Multiple FEA models of a scanned, converted, and meshed tooth geometries were developed including intact, short, and long vertical cracks. A QPD percussion rod was included in all models so that the force measured by a sensor in this rod could also be simulated. Both short and long vertical crack models correctly exhibit multiple peaks in percussion force-time plots. Further, deeper valleys between the peaks were predicted with increasing crack length. Comparison of relative velocities of the crack surfaces with the percussion force as a function of time indicates that the additional force peaks are due to crack face oscillations. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, Biomaterials |