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Finite element analysis of EBM manufactured bespoke implants: A probabilistic study
Akash Gupta1, Huw Millward1, Alan Lewis1
1UW Centre for Advanced Batch Manufacture (CBM), University of Wales, Swansea, UK.
This study validates additively manufactured canine implants for angular limb deformity correction using probabilistic numerical analysis. The findings indicate a low probability of failure, supporting their successful design and integration.
Area of Science:
- Biomedical Engineering
- Veterinary Orthopedics
- Materials Science
Background:
- Additively manufactured implants show promise in veterinary medicine.
- Angular limb deformity correction in canines requires robust implant solutions.
- In-vivo performance of specific canine implants has been excellent.
Purpose of the Study:
- To numerically validate additively manufactured canine implants for angular limb deformity correction.
- To assess implant reliability and identify critical design parameters through probabilistic analysis.
- To compare numerical stress values with safety limits and determine failure probability.
Main Methods:
- Probabilistic numerical analysis incorporating finite element analysis (FEA).
- Sensitivity and robustness analyses were performed on implant geometry and boundary conditions.
- Statistical analysis was used to compare mean stress values with safety and failure limits.
- Reliability techniques were applied to compute the probability of failure.
Main Results:
- Sensitivity analysis identified critical input parameters for implant performance.
- Robustness analysis determined the mean stress values at which implants operate optimally.
- Numerical analysis revealed a low probability of reaching failure limits.
- The computed low probability of failure aligns with positive in-vivo results.
Conclusions:
- The probabilistic numerical analysis successfully validated the additively manufactured canine implants.
- The methodology demonstrates a reliable approach for designing bespoke veterinary implants.
- The study supports the successful integration of numerical analysis in the design phase of custom implants.
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