The biomechanical behavior of dental implants is a critical factor that directly impacts their long-term clinical success. In this study, a fully dense dental implant model was designed and simulated using the Finite Element Method (FEM) in Abaqus CAE software, under various static load conditions for Ti6Al4V. The implant’s performance was then compared to that of the Ti35Nb7Zr5Ta alloy under the same load conditions. The results highlighted the stress distribution within the implant and its transfer to the surrounding bone, showing that higher loads resulted in increased stresses and strains. Moreover, the Ti35Nb7Zr5Ta alloy transmitted higher stress values to the surrounding bone compared to Ti6Al4V. Additionally, the models were fabricated using Ti6Al4V powders via the Selective Laser Melting (SLM) process. Characterization of the models included microstructural analysis and surface evaluations to identify potential defects or irregularities.

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Development of a Dental Implant Using Selective Laser Melting (SLM)

  • Amanda Robau-Porrua,
  • Roberto Arancibia-Castillo,
  • Jesús E. González,
  • Yadir Torres

摘要

The biomechanical behavior of dental implants is a critical factor that directly impacts their long-term clinical success. In this study, a fully dense dental implant model was designed and simulated using the Finite Element Method (FEM) in Abaqus CAE software, under various static load conditions for Ti6Al4V. The implant’s performance was then compared to that of the Ti35Nb7Zr5Ta alloy under the same load conditions. The results highlighted the stress distribution within the implant and its transfer to the surrounding bone, showing that higher loads resulted in increased stresses and strains. Moreover, the Ti35Nb7Zr5Ta alloy transmitted higher stress values to the surrounding bone compared to Ti6Al4V. Additionally, the models were fabricated using Ti6Al4V powders via the Selective Laser Melting (SLM) process. Characterization of the models included microstructural analysis and surface evaluations to identify potential defects or irregularities.