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Influencia del modelo del material y espacio de modelado en la precisión de una simulación con elementos finitos para predecir la deformación en silicona

Mesa-Múnera, Elizabeth and Ramírez-Salazar, Juan Fernando and Bischof, Walter F and Boulanger, Pierre and Branch Bedoya, John Willian (2011) Influencia del modelo del material y espacio de modelado en la precisión de una simulación con elementos finitos para predecir la deformación en silicona. Avances en Sistemas e Informática; Vol. 8, núm. 3 (2011); 63-70 Avances en Sistemas e Informática; Vol. 8, núm. 3 (2011); 63-70 1909-0056 1657-7663 .

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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.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Soft tissue characterization, brain indentation, Finite Element Method, Design of Experiments, Soft tissue characterization, brain indentation, Finite Element Method, Design of Experiments
Unidad administrativa:Revistas electrónicas UN > Avances en Sistemas e Informática
Código ID:23543
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :27 Junio 2014 14:35
Ultima modificación:06 Junio 2018 10:51
Ultima modificación:06 Junio 2018 10:51
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