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    A poisson-based methodology for deformable object simulation

    Access Status
    Fulltext not available
    Authors
    Zhong, Yongmin
    Shirinzadeh, B.
    Alici, G.
    Smith, J.
    Date
    2008
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zhong, Yongmin and Shirinzadeh, Bijian and Alici, Gursel and Smith, Julian. 2008. A poisson-based methodology for deformable object simulation. International Journal of Modelling and Simulation. 28 (2): pp. 156-164.
    Source Title
    International Journal of Modelling and Simulation
    DOI
    10.2316/Journal.205.2008.2.205-4551
    ISSN
    02286203
    Faculty
    Faculty of Science and Engineering
    Department of Mechanical Engineering
    School of Civil and Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/26900
    Collection
    • Curtin Research Publications
    Abstract

    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 a soft body as a result of a deformation caused by an external force is propagated among mass points by Poisson equation. The novelty of the methodology is that Poisson-based techniques are established to propagate the energy generated by the external force and to extrapolate the internal forces of a deformed object. A cellular neural network model is established to solve the Poisson model for the real-time requirement of soft object deformation. This proposed methodology not only deals with large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive coefficients.

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