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A Biomimetic Titanium Scaffold With and Without Magnesium Filled for Adjustable Patient-Specific Elastic Modulus.

Subhodeep Jana1,2, Rajdeep Sarkar3, Masud Rana4,2

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Summary

This study determined the stiffness of titanium scaffolds, with or without magnesium filling, using numerical and AI methods. Results show scaffold geometry and density significantly impact mechanical properties for better bone integration.

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Area of Science:

  • Biomaterials Engineering
  • Mechanical Engineering
  • Computational Materials Science

Background:

  • Successful patient implants require scaffolds with appropriate elastic modulus for osteointegration.
  • Titanium (Ti) scaffolds with magnesium (Mg) filling are designed for gradual Mg dissolution as bone grows, potentially improving bone ingrowth.
  • Understanding the effective elastic properties of lattice scaffolds is crucial for designing implants with tailored mechanical behavior.

Purpose of the Study:

  • To determine the effective Young's modulus (stiffness) of Ti lattice scaffolds, both unfilled and Mg-filled.
  • To investigate the influence of local geometrical features and relative density on the macroscopic elastic properties of these scaffolds.
  • To utilize a data-driven artificial intelligence (AI) model to predict the optimal Ti to Mg ratio for desired scaffold stiffness.

Main Methods:

  • A numerical homogenization scheme was employed to calculate effective elastic properties at the macroscopic scale.
  • Finite element analysis (FEA) was used to simulate scaffold behavior based on microcomputed tomography (Micro-CT) data.
  • Experimental compression tests were performed on fabricated Ti and Mg-filled Ti scaffolds to validate simulation results.

Main Results:

  • Both relative density and specific geometrical features (e.g., porosity distribution, strut diameter) significantly influence the scaffold's macroscopic elastic behavior.
  • Experimental compression test results closely matched the predictions from FEA simulations.
  • An AI model was developed to calculate the Ti scaffold to Mg fill ratio for achieving specific stiffness requirements.

Conclusions:

  • The mechanical properties of Ti lattice scaffolds are highly dependent on their structural design and density.
  • Numerical and AI-based approaches provide accurate methods for predicting scaffold stiffness and optimizing implant design.
  • The findings support the development of customized titanium scaffolds with controlled mechanical properties for enhanced bone regeneration and implant success.