Static Analysis of Auxetic Femur Stem for Total Hip Arthroplasty (THA) Application Using Angle Optimization
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Date
2024-06
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Addis Ababa University
Abstract
Total hip arthroplasty (THA) is the preferred treatment for severe hip diseases, but the durability of hip prostheses is compromised by stress shielding, leading to bone resorption and implant failure. This study aims to optimize femur stems using auxetic materials, which exhibit a negative Poisson's ratio, potentially providing better stiffness matching with the femur and reducing stress shielding, thereby enhancing implant performance and patient outcomes. The study systematically optimized an auxetic femur stem for hip arthroplasty by collecting patient-specific data from Samaritan Surgical Center, performing finite element analysis using SolidWorks and ANSYS, and comparing the optimized design to Zimmer's femur stem under realistic loading conditions. This comprehensive methodology included simulations of activities like walking and stair climbing, supported by statistical evaluations to ensure robust conclusions on stress shielding and biomechanical performance. The optimized femur stem, incorporating a 3D Star Honeycomb structure and Zimmer's Titanium Alloy, significantly reduced stress shielding in realistic loading conditions, achieving reductions of up to 38.16%. This innovative design aligns biomechanical behavior closely with intact bone, outperforming conventional femur stem designs in reducing stress concentrations and facilitating bone ingrowth. This study demonstrates that incorporating a 3D star honeycomb auxetic structure into femur stem design significantly reduces stress shielding and improves biomechanical performance under realistic loading conditions compared to Zimmer's femur stem. These findings highlight the potential for innovative implant designs to enhance stability and patient outcomes in hip arthroplasty.
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Keywords
femur stem, hip arthroplasty, stress shielding, biomechanical performance, auxetic structure, 3D star honeycomb, implant optimization, realistic loading conditions, orthopedic surgery, patient outcomes