Download presentation
Presentation is loading. Please wait.
Published byIsaac Scott McDonald Modified over 6 years ago
1
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Explanation of model geometry. In their animal experiment, Simmons and Pilliar used a cylindrical implant rotating inside a canine mandible, causing a uniform shear strain inside the bone-implant interface tissue (top). The presented model (bottom) simulates tissue differentiation of a small part of this interface tissue.
2
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Boundary conditions imposed on the mesh. The bottom of the mesh is fixed. The degrees of freedom of the sides indicated by the arrows are tied to simulate periodic boundary conditions. The symmetry conditions are applied. The horizontal micromotion is applied by prescribing corresponding displacements in the X direction to the nodes that reside on the surface of the coating (coating is not plotted).
3
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Solution scheme
4
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Tissue fractions for a 100 μm thick interface with a sintered bead surface. The applied level of the micromotions is 50 μm. Bone appears in the interfacial gap after four weeks of the simulated experiment.
5
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Tissue fractions for a 100 μm thick interface with a porous tantalum surface. The applied level of micromotions is 50 μm. Only the fibrous tissue and some small amount of cartilage developed at the interface until the end of the simulated time.
6
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Tissue fractions for a 50 μm thick interface with a porous tantalum surface. The force controlled conditions are based on the reaction force calculated from the 100 μm thick model with 50 μm micromotions applied. The cartilage and small amount of bone appear at the interface at the end of the simulated time.
7
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Micromotions for a 50 μm thick interfaces with force BCs. The applied force is equal to the reaction force calculated from the 100 μm thick models with 50 μm micromotions applied.
8
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Cell proliferation rates as functions of stimulus S
9
Date of download: 10/23/2017 Copyright © ASME. All rights reserved. From: Computational Mechanobiology to Study the Effect of Surface Geometry on Peri-Implant Tissue Differentiation J Biomech Eng. 2008;130(5): doi: / Figure Legend: Cell differentiation rates as functions of stimulus S
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.