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Crack growth pattern analysis of monolithic glass ceramic on a titanium abutment for single crown implant restorations using smooth particle hydrodynamics algorithm.

Mohammad KashfiParisa FakhriAtaollah GhavamianPayam PourrabiaFatemeh Salehi GhalesefidParviz Kahhal
Published in: Journal of advanced periodontology & implant dentistry (2021)
The main achievement of the present study was that the SPH algorithm is a helpful tool to predict the crack growth pattern in brittle materials, especially for ceramic crowns under dynamic loading. The predicted crack direction showed that the initial crack was divided into two branches after its impact, leading to the crown fracture. The micro-crack initiated from the crown incisal edge and then extended to the crown margin due to the stress concentration near the contact area.
Keyphrases
  • machine learning
  • deep learning
  • neural network
  • liquid chromatography
  • ionic liquid
  • molecularly imprinted
  • simultaneous determination