Related Experiment Video
Updated: Feb 8, 2026

Wind Tunnel Experiments to Study Chaparral Crown Fires
Published on: November 14, 2017
CAD-FEA modeling and analysis of different full crown monolithic restorations
Amanda Maria de Oliveira Dal Piva1, João Paulo Mendes Tribst1, Alexandre Luiz Souto Borges1
1Department of Dental Materials and Prosthodontics, São Paulo State University (Unesp), Institute of Science and Technology, Av. Eng. Francisco José Longo, no. 777, Jardim São Dimas, 12245-000, São José dos Campos, SP, Brazil.
Objectives:
To investigate the influence of different materials for monolithic full posterior crowns using 3D-Finite Element Analysis (FEA).
Methods:
Twelve (12) 3D models of adhesively-restored teeth with different crowns according to the material and its elastic modulus were analysed: Acrylic resin, Polyetheretherketone, Composite resin, Hybrid ceramic, pressable and machinable Zirconia reinforced lithium silicate, Feldspathic, Lithium disilicate, Gold alloy, Cobalt-Chromium alloy (Co-Cr), Zirconia tetragonal partially stabilized with yttria, and Alumina. All materials were assumed to behave elastically throughout the entire deformation. Results in restoration and cementing line were obtained using maximum principal stress. In addition, maximum shear stress criteria was used for the cementing line.
Results:
Restorative materials with higher elastic modulus present higher stress concentration inside the crown, mainly tensile stress on an intaglio surface. On the other hand, materials with lower elastic modulus allow stress passage for cement, increasing shear stress on this layer. Stiffer materials promote higher stress peak values.
Significance:
Materials with higher elastic modulus such as Co-Cr, zirconia and alumina enable higher tensile stress concentration on the crown intaglio surface and higher shear stress on the cement layer, facilitating crown debonding.
Related Concept Videos
Crown Ethers
Restorative Care
Mechanistic Models: Compartment Models in Individual and Population Analysis
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Qualitative Analysis
For instance, group IV...

