DocumentCode
1617830
Title
Biomechanical characterization with inverse FE model parameter estimation: Macro and micro applications
Author
Ahn, Bummo ; YoungJin Kim ; Kim, Jung
Author_Institution
Dept. of Mech. Eng., Inst. of Sci. & Technol., Daejeon
fYear
2008
Firstpage
1769
Lastpage
1772
Abstract
An inverse finite element (FE) model parameter estimation algorithm can be used to characterize a realistic biomechanical properties, which consider (or include) the material nonlinearity, contact mechanics, complex boundary conditions, and geometrical constraints in the modeling. In this study, biomechanical experiments on macro and micro samples are conducted. Macro indentation experiments on porcine livers were performed to measure the force behavior using one-dimensional indentation device. The force response of the human liver cancer cells was also measured by the atomic force microscope (AFM). The mechanical behavior of porcine livers (macro) and human liver cancer cells (micro) were characterized with inverse FE model parameter estimation algorithm via hyperelastic and linear viscoelastic models. The developed models are suitable for computing accurate reaction force on tools and deformation of biomechanical tissues.
Keywords
biological tissues; biomechanics; finite element analysis; indentation; parameter estimation; viscoelasticity; atomic force microscope; biomechanical characterization; biomechanical tissues; complex boundary conditions; contact mechanics; finite element model; geometrical constraints; human liver cancer cells; hyperelastic models; inverse FE model; linear viscoelastic models; material nonlinearity; one-dimensional indentation device; parameter estimation:; porcine livers; Atomic force microscopy; Atomic measurements; Cancer; Force measurement; Humans; Inverse problems; Iron; Liver; Parameter estimation; Solid modeling; Biomechanical characterization; Finite element method; Inverse FE model parameter estimation algorithm; Macro; Micro;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-9-3
Electronic_ISBN
978-89-93215-01-4
Type
conf
DOI
10.1109/ICCAS.2008.4694516
Filename
4694516
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