Login / Signup

Development of patient-specific finite element model for study of composite dental implants.

Vivek GuptaAnshika GargNitesh TewariSukeshana SrivastavArnab Chanda
Published in: Biomedical physics & engineering express (2024)
Traumatic dental injuries can occur due to various reasons such as accidents, sports injuries, fights, falls, and others. These injuries can affect the teeth, gums, and surrounding tissues, and can range from minor chips and cracks to severe fractures, dislocations, and avulsions (when the tooth is completely knocked out of the socket). The most common way to address this is by replacing affected teeth with dental implants. The purpose of this research is to evaluate the use of composite materials in dental implants and compare them with the traditionally used materials using a patient specific cone beam computed tomography (CBCT) based finite element model (FEM). To conduct this research, two different implant groups i.e., traditional implant and composite implant were designed using Titanium grade 4, zirconium oxide-reinforced lithium silicate (ZLS), and Zirconia (ZrO 2 ). Six dental implants were designed namely Ti implant, ZLS implant, ZrO 2 implant, Ti-ZrO 2 composite, Ti-ZLS composite, and ZLS-ZrO 2 composite using 3D modelling software. Detailed full-scale 3D models of patient specific dental implant were developed and traumatic loading conditions were applied to the enamel of central incisor teeth or crown of dental implant, and maxilla was constrained in all directions. It was found that the use of composite materials for dental implants can reduce the stresses over the surface of abutment and implant as compared to traditional implants. The detailed models developed as a part of this study can advance the research on dental implants, and with further experimental validation allow the use of composite materials for fabrication of more stable dental implants.
Keyphrases
  • soft tissue
  • cone beam computed tomography
  • finite element
  • spinal cord injury
  • gene expression
  • computed tomography
  • magnetic resonance imaging
  • tissue engineering
  • data analysis