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dc.contributor.authorZhong, Yongmin
dc.contributor.authorShirinzadeh, B.
dc.contributor.authorAlici, G.
dc.contributor.authorSmith, J.
dc.identifier.citationZhong, 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.

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.

dc.publisherACTA Press
dc.titleA poisson-based methodology for deformable object simulation
dc.typeJournal Article
dcterms.source.titleInternational Journal of Modelling and Simulation
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Mechanical Engineering
curtin.facultySchool of Civil and Mechanical Engineering

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