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3D FEA of cemented glass fiber and cast posts with various dental cements in a maxillary central incisor

Overview of attention for article published in SpringerPlus, October 2015
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Title
3D FEA of cemented glass fiber and cast posts with various dental cements in a maxillary central incisor
Published in
SpringerPlus, October 2015
DOI 10.1186/s40064-015-1345-4
Pubmed ID
Authors

Ahmed A. Madfa, Mohsen A. Al-Hamzi, Fadhel A. Al-Sanabani, Nasr H. Al-Qudaimi, Xiao-Guang Yue

Abstract

This study aimed to analyse and compare the stability of two dental posts cemented with four different luting agents by examining their shear stress transfer through the FEM. Eight three-dimensional finite element models of a maxillary central incisor restored with glass fiber and Ni-Cr alloy cast dental posts. Each dental post was luted with zinc phosphate, Panavia resin, super bond C&B resin and glass ionomer materials. Finite element models were constructed and oblique loading of 100 N was applied. The distribution of shear stress was investigated at posts and cement/dentine interfaces using ABAQUS/CAE software. The peak shear stress for glass fiber post models minimized approximately three to four times of those for Ni-Cr alloy cast post models. There was negligible difference in peak of shear stress when various cements were compared, irrespective of post materials. The shear stress had same trend for all cement materials. This study found that the glass fiber dental post reduced the shear stress concentration at interfacial of post and cement/dentine compared to Ni-Cr alloy cast dental post.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 32%
Student > Postgraduate 3 12%
Student > Ph. D. Student 3 12%
Researcher 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Medicine and Dentistry 13 52%
Engineering 3 12%
Physics and Astronomy 1 4%
Environmental Science 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 5 20%