ProFatigue
ProFatigue optimizes planning and evaluation of fatigue testing for implant-supported fixed dental prostheses to improve accuracy and efficiency in assessing mechanical endurance.
Key Features:
- Optimization of fatigue testing: Optimizes planning and testing protocols for fatigue assessment of dental implants, addressing limitations of ISO 14801.
- Reduction in test specimens: Reduces the number of test specimens required compared with current ISO 14801-based approaches.
- Probabilistic analysis: Provides probabilistic references to determine endurance limits and implant reliability under cyclic loading.
- Integration of S-N curves: Incorporates load, fatigue, and stress–number of cycles to failure (S-N) curves for fatigue life evaluation.
- ISO standards analysis: Critically analyzes methodologies of ISO recommendations (2008 and 2016) to identify inherent limitations.
- Improved accuracy of estimates: Enhances accuracy of fatigue life and endurance-limit estimates through optimized planning and probabilistic methods.
Scientific Applications:
- Implant mechanical research: Supports research and development on mechanical complications of dental implants by enabling efficient fatigue testing and analysis.
- Endurance and reliability assessment: Enables assessment of endurance limits and reliability of implant-supported fixed dental prostheses under cyclic loading.
Methodology:
Incorporates load, fatigue, and stress–number of cycles to failure (S-N) curve concepts; critically analyzes ISO recommendations (2008 and 2016) to identify limitations; applies a refined approach including probabilistic estimation of endurance limits and reduced-specimen testing strategies.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 1/27/2021
Operations
Publications
García-González M, Blasón-González S, García-García I, Lamela-Rey MJ, Fernández-Canteli A, Álvarez-Arenal Á. Optimized Planning and Evaluation of Dental Implant Fatigue Testing: A Specific Software Application. Biology. 2020;9(11):372. doi:10.3390/biology9110372. PMID:33142807. PMCID:PMC7693306.