Haptic deformation simulation with poisson equation
This paper presents a new methodology for the deformation of soft objects by drawing an analogy between Poisson equation and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by Poisson equatio...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
World Scientific
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/17570 |
| _version_ | 1848749500849455104 |
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| author | Zhong, Yongmin Shirinzadeh, B. Alici, G. Smith, J. |
| author_facet | Zhong, Yongmin Shirinzadeh, B. Alici, G. Smith, J. |
| author_sort | Zhong, Yongmin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a new methodology for the deformation of soft objects by drawing an analogy between Poisson equation and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by Poisson equation. An improved Poisson model is developed for propagating the energy generated by the external force in a natural manner. A cellular neural network (CNN) model is established to solve the Poisson model for the real-time requirement of soft object deformation. A haptic virtual reality system has been established for deformation simulation with force feedback. This proposed methodology not only deals with local and large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive coefficients, as well as predicts the mechanical behaviors of living tissues. |
| first_indexed | 2025-11-14T07:21:56Z |
| format | Journal Article |
| id | curtin-20.500.11937-17570 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:21:56Z |
| publishDate | 2006 |
| publisher | World Scientific |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-175702017-09-13T15:44:34Z Haptic deformation simulation with poisson equation Zhong, Yongmin Shirinzadeh, B. Alici, G. Smith, J. analogy systems haptic feedback virtual reality Poisson equation CNN Deformation This paper presents a new methodology for the deformation of soft objects by drawing an analogy between Poisson equation and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by Poisson equation. An improved Poisson model is developed for propagating the energy generated by the external force in a natural manner. A cellular neural network (CNN) model is established to solve the Poisson model for the real-time requirement of soft object deformation. A haptic virtual reality system has been established for deformation simulation with force feedback. This proposed methodology not only deals with local and large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive coefficients, as well as predicts the mechanical behaviors of living tissues. 2006 Journal Article http://hdl.handle.net/20.500.11937/17570 10.1142/S0219467806002355 World Scientific restricted |
| spellingShingle | analogy systems haptic feedback virtual reality Poisson equation CNN Deformation Zhong, Yongmin Shirinzadeh, B. Alici, G. Smith, J. Haptic deformation simulation with poisson equation |
| title | Haptic deformation simulation with poisson equation |
| title_full | Haptic deformation simulation with poisson equation |
| title_fullStr | Haptic deformation simulation with poisson equation |
| title_full_unstemmed | Haptic deformation simulation with poisson equation |
| title_short | Haptic deformation simulation with poisson equation |
| title_sort | haptic deformation simulation with poisson equation |
| topic | analogy systems haptic feedback virtual reality Poisson equation CNN Deformation |
| url | http://hdl.handle.net/20.500.11937/17570 |