Literature DB >> 20414728

3D micro-crack propagation simulation at enamel/adhesive interface using FE submodeling and element death techniques.

Heng-Liang Liu1, Chun-Li Lin, Ming-Tsung Sun, Yen-Hsiang Chang.   

Abstract

This study investigates micro-crack propagation at the enamel/adhesive interface using finite element (FE) submodeling and element death techniques. A three-dimensional (3D) FE macro-model of the enamel/adhesive/ceramic subjected to shear bond testing was generated and analyzed. A 3D micro-model with interfacial bonding structure was constructed at the upper enamel/adhesive interface where the stress concentration was found from the macro-model results. The morphology of this interfacial bonding structure (i.e., resin tag) was assigned based on resin tag geometry and enamel rod arrangement from a scanning electron microscopy micrograph. The boundary conditions for the micro-model were determined from the macro-model results. A custom iterative code combined with the element death technique was used to calculate the micro-crack propagation. Parallel experiments were performed to validate this FE simulation. The stress concentration within the adhesive occurred mainly at the upper corner near the enamel/adhesive interface and the resin tag base. A simulated fracture path was found at the resin tag base along the enamel/adhesive interface. A morphological observation of the fracture patterns obtained from in vitro testing corresponded with the simulation results. This study shows that the FE submodeling and element death techniques could be used to simulate the 3D micro-stress pattern and the crack propagation noted at the enamel/adhesive interface.

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Year:  2010        PMID: 20414728     DOI: 10.1007/s10439-010-0047-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  1 in total

1.  Techniques to derive geometries for image-based Eulerian computations.

Authors:  Seth Dillard; James Buchholz; Sarah Vigmostad; Hyunggun Kim; H S Udaykumar
Journal:  Eng Comput (Swansea)       Date:  2014       Impact factor: 1.593

  1 in total

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