| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Biological Materials Science
|
| Presentation Title |
Quantitative Percussion Diagnostics for Detecting Microgap Defects in Teeth: Correlation Between In Vivo, FEA, and 3D-Printed Replica Studies |
| Author(s) |
Jie Shen, Cherilyn G. Sheets, James C. Earthman |
| On-Site Speaker (Planned) |
James C. Earthman |
| Abstract Scope |
Quantitative Percussion Diagnostics (QPD) has proven effective for detecting microgap defects in teeth and other structures. The present research investigates QPD’s ability to identify various types of microgap defects, such as vertical and oblique cracks, and loose crowns, across different tooth types, including incisors, premolars, and molars. Given the limited in vivo data characterization on human teeth, we conducted an in silico study using Finite Element Analysis (FEA) and an in vitro study using 3D printed replica teeth. Our findings demonstrate good agreement between FEA simulations, 3D printed replica teeth results, and in vivo clinical QPD data for the same crack and tooth geometries. The FEA investigation indicates that the ability of QPD detects cracks through high-frequency relative oscillations of the crack surfaces under percussion loading conditions. Finally, the potential of QPD as a reliable tool for detecting and characterizing microgap defects generally will be also discussed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Biomaterials, Computational Materials Science & Engineering, Modeling and Simulation |