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

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.

• Autores: Mesa-Múnera, Elizabeth; Ramírez-Salazar, Juan Fernando; Bischof, Walter F; Boulanger, Pierre; Branch Bedoya, John Willian
• Tipo de recurso: Article of journal
• Fecha de publicación: 2011
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/33463
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/33463; http://bdigital.unal.edu.co/23543/
• Palabra clave: Soft tissue characterization; brain indentation; Finite Element Method; Design of Experiments; Soft tissue characterization; brain indentation; Finite Element Method; Design of Experiments
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional