Influencia del modelo del material y espacio de modelado en la precisión de una simulación con elementos finitos para predecir la deformación en silicona
Autores
Mesa-Múnera, Elizabeth
Ramírez-Salazar, Juan Fernando
Bischof, Walter F
Boulanger, Pierre
Branch Bedoya, John Willian
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EspañolFecha de publicación
2011
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Resumen
The realistic simulation of tool-tissue interactions is required for the development of surgical simulators. In this paper, we estimate the material properties of a silicone rubber with mechanical properties similar to brain tissue, by performing a standard compression test. Using the estimated parameters, we performed different finite element simulations of needle indentation into a block of the same tissue. We investigated the effect of material model (Neo-Hookean and Second Order Reduced Polynomial) and modeling space (3D and axisymmetric geometries) on the accuracy of the simulation. We demonstrated that material model, space and their interaction have a significant effect on the accuracy of the simulations. The most accurate combination corresponds to a 3D simulation using a Reduced Polynomial model. However, even for not-axisymmetric geometries, one can sacrifice some accuracy and use a simpler and faster modeling space (i.e. axisymmetric), at least for the simulations considered here, given a change in the modeling space has a smaller effect on accuracy than a change in the material model.
The realistic simulation of tool-tissue interactions is required for the development of surgical simulators. In this paper, we estimate the material properties of a silicone rubber with mechanical properties similar to brain tissue, by performing a standard compression test. Using the estimated parameters, we performed different finite element simulations of needle indentation into a block of the same tissue. We investigated the effect of material model (Neo-Hookean and Second Order Reduced Polynomial) and modeling space (3D and axisymmetric geometries) on the accuracy of the simulation. We demonstrated that material model, space and their interaction have a significant effect on the accuracy of the simulations. The most accurate combination corresponds to a 3D simulation using a Reduced Polynomial model. However, even for not-axisymmetric geometries, one can sacrifice some accuracy and use a simpler and faster modeling space (i.e. axisymmetric), at least for the simulations considered here, given a change in the modeling space has a smaller effect on accuracy than a change in the material model.
The realistic simulation of tool-tissue interactions is required for the development of surgical simulators. In this paper, we estimate the material properties of a silicone rubber with mechanical properties similar to brain tissue, by performing a standard compression test. Using the estimated parameters, we performed different finite element simulations of needle indentation into a block of the same tissue. We investigated the effect of material model (Neo-Hookean and Second Order Reduced Polynomial) and modeling space (3D and axisymmetric geometries) on the accuracy of the simulation. We demonstrated that material model, space and their interaction have a significant effect on the accuracy of the simulations. The most accurate combination corresponds to a 3D simulation using a Reduced Polynomial model. However, even for not-axisymmetric geometries, one can sacrifice some accuracy and use a simpler and faster modeling space (i.e. axisymmetric), at least for the simulations considered here, given a change in the modeling space has a smaller effect on accuracy than a change in the material model.