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dc.contributor.authorZhong, Yongmin
dc.contributor.authorShirinzadeh, B.
dc.contributor.authorAlici, G.
dc.contributor.authorSmith, J.
dc.date.accessioned2017-01-30T11:03:23Z
dc.date.available2017-01-30T11:03:23Z
dc.date.created2012-12-03T07:24:55Z
dc.date.issued2006
dc.identifier.citationZhong, Yongmin and Shirinzadeh, Bijan and Alici, Gursel and Smith, Julian. 2006. Haptic deformation modelling through cellular neural network. International Journal of Simulation Systems, Science & Technology 7 (8): pp. 3-20.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/7936
dc.description.abstract

This paper presents a new methodology for the deformation of soft objects by drawing an analogy between cellular neural network (CNN) 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 nonlinear CNN activities. The novelty of the methodology is that soft object deformation is carried out from the perspective of energy propagation, and nonlinear material properties are modelled with nonlinear CNNs, rather than geometric nonlinearity as in most of the existing deformation methods. Integration with a haptic device has been achieved to simulate soft object deformation with force feedback. The proposed methodology not only predicts the typical behaviors of living tissues, but also easily accommodates isotropic, anisotropic and inhomogeneous materials, and local and large-range deformation.

dc.publisherUK Society for Modelling and Simulation
dc.relation.urihttp://ijssst.info/Vol-07/No-8/cover.htm
dc.subjectsoft objects
dc.subjecthaptic rendering and analogous systems
dc.subjectCNN
dc.subjectdeformation
dc.titleHaptic deformation modelling through cellular neural network
dc.typeJournal Article
dcterms.source.volume7
dcterms.source.number8
dcterms.source.startPage3
dcterms.source.endPage20
dcterms.source.issn1473-804X
dcterms.source.titleInternational Journal of Simulation Systems, Science & Technology
curtin.department
curtin.accessStatusFulltext not available


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