Modeling and analysis for teeth of a patient with periodontal diseases based on four kinds of software
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Objective To provide references for the clinical treatment of patients with periodontal diseases by modeling and analysis based on four software and obtaining stress distributions of the patient’s teeth, according to CT data and plaster model of the patient’s teeth. Methods The CT data were preliminary processed by using Mimics software to establish three-dimensional (3D) cloud model. The 3D surface model of the teeth was then constructed by using Geomagic software to make parameter modeling and reverse engineering. The 3D surface model was imported into SolidWorks to obtain the 3D entity model by entity conversions. Finally, the 3D entity model was imported to ANSYS for analysis. Results The stress distributions on the upper teeth were obtained, and the location of stress concentration points was determined. The stress concentration points of the teeth were analyzed separately, and the maximum stress was 1 774.8 MPa. The occlusal relationship was adjusted based on stress distributions, and the maximum stress after adjustment was reduced to 1 529 MPa. Conclusions This dental modeling and analysis method can simulate various occlusal relationships and calculate tooth stress distribution after amendment, which provides the theoretical basis for clinical treatment of periodontal diseases.

    Reference
    Related
    Cited by
Get Citation

MAN Bin, FU Bo, BAI Lin, XU Yi. Modeling and analysis for teeth of a patient with periodontal diseases based on four kinds of software[J]. Journal of medical biomechanics,2017,32(5):454-457

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 07,2016
  • Revised:January 05,2017
  • Adopted:
  • Online: October 25,2017
  • Published: