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Comparison between experimental digital image processing and numerical methods for stress analysis in dental implants
Oriol Cantó-Navés1, Xavier Marimon2, Miquel Ferrer3
1Faculty of Dentistry, Universitat Internacional de Catalunya (UIC), Barcelona, Spain.
Journal of the Mechanical Behavior of Biomedical Materials
|October 3, 2020
Summary
This study assessed stress on dental implants using various crown materials. Results from Digital Photoelasticity, Digital Image Correlation (DIC), and Finite Element Method (FEM) modeling inform material selection for better implant stability.
Area of Science:
- Biomaterials Science
- Dental Implantology
- Biomechanics
Background:
- Dental implants are crucial for tooth replacement.
- Understanding stress distribution around implants is vital for long-term success.
- Restorative material choice impacts peri-implant stress.
Purpose of the Study:
- To evaluate stresses transferred to peri-implant bone from single implants.
- To compare stress distribution with four different restorative materials: carbon fiber-composite, metal-ceramic, metal-composite, and full-metal.
- To validate experimental findings using multiple analytical approaches.
Main Methods:
- Fabrication of 12 crowns from four material types cemented on titanium abutments.
- Experimental stress analysis using Digital Photoelasticity and Digital Image Correlation (DIC).
- 3D Finite Element Method (FEM) modeling, including realistic mandibular bone morphology and material property distinctions.
Main Results:
- Quantitative stress distribution data around the implant was obtained.
- FEM models confirmed experimental results and analyzed sensitivity to geometric and load variations.
- The study verified the robustness of the experimental techniques through independent verification.
Conclusions:
- The study provides critical data on stress transfer for different restorative materials.
- Findings can guide the selection of materials to optimize dental implant longevity.
- Integrated experimental and computational methods enhance the reliability of biomechanical assessments.
