Modeling and parameter identification of rheological object based on Fe method and nonlinear optimization

Authors:
Zhongkui Wang;Shinichi Hirai
Affiliations:
Department of Robotics, Ritsumeikan University, Kusatsu, Japan;Department of Robotics, Ritsumeikan University, Kusatsu, Japan
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

Citing 7
Cited 0

A muscle model for animation three-dimensional facial expression

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Elastically deformable models

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
ArtDefo: accurate real time deformable objects

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Real Time Volumetric Deformable Models for Surgery Simulation

VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
A viscoelastic soft tissue model for haptic surgical simulation

WHC '07 Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Physical parameter identification of rheological object based on measurement of deformation and force

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

There are many kinds of deformable objects in our living life. Some of them such as human tissues, human organs, and food exhibit rheological behaviors when they are subject to external force. In surgery simulation and food engineering, we need to simulate or control such behaviors. In this paper, four-element model associated with finite element (FE) method was employed to model rheological deformation. This model can reach a good approximation of rheological force response when the object experience a standard strain input. An identification approach for estimating physical parameters of rheological deformation was presented based on 2D FE simulation and nonlinear optimization. This identification method aimed at minimizing the difference of force response between the simulation and experiment by using nonlinear least square method. Finally, experiments and identification results were given and both modeling and identification method were validated by comparing the results of simulation and experiments.