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M. Zareinejad 1
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Haptic interaction with deformable objects: ◦ Overview. ◦ Mesh-based simulation of deformation: The Mass-Spring method. The ChainMail method. Continuum mechanics methods: The Finite Element Method (FEM). The Boundary Element Method (BEM). The Cellular Neural Network (CNN) method. 13 Deformable Object
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14 Haptic interaction with deformable objects
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15 Haptic interaction with deformable objects
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16 Haptic interaction with deformable objects
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Goals: ◦ Speed. 30Hz for visual feedback. 500-1000 Hz for haptic feedback. ◦ Stability. ◦ Physical accuracy. critical for medical applications: surgical training, planning and outcome prediction. Challenges: ◦ Governing physical laws. ◦ Material coupling, e.g., elastic tissue & fluid. ◦ Inhomogeneities & anisotropies. ◦ Non-linear deformations. ◦ Geometry changes, e.g., cutting, suturing. 17
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Relationship between stress and strain Possible Models: Linear elasticity Nonlinear elasticity Viscoelasticity 18
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Viscoelasticity Creep and creep recovery Stress Relaxation Kelvin MaxwellZener 19
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Mesh-based techniques: ◦ Connectivity among object nodes. ◦ Difficult to handle: large deformations (fluid flow). connectivity changes (cuts, fractures). ◦ Example: Finite Element Method (FEM) models. Meshless techniques: ◦ No connectivity among object nodes. ◦ Easy to handle: fluid flows. cuts, fractures, etc. ◦ Example: Smoothed Particle Hydrodynamics (SPH) models, Method of Finite Spheres (Kim, De, Srinivasan ‘03). 20
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Surface models of deformation: ◦ Object represented by points on its boundary G. ◦ Not good for incompressibility, bending. Volumetric models of deformation: ◦ Object represented by all points in W. 21
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Object = mass nodes connected by a network of linear springs. Force on node P i : Advantages: ◦ Easy to implement. ◦ Consistent with the data structures used for graphic rendering. ◦ Suitable for static or dynamic simulations. 22
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Triangular mesh T2 mesh Spring-mass-type meshes 23
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24 Mass-spring models of deformation Mass-spring models of deformation
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