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To visualize the effects of various pressures to deform the skin patch to roughly 1mm.
To visualize the effects of various pressures to deform the skin patch to roughly 1mm.
Goal: Determine necessary pressure to achieve 1mm deformation
Assumptions:
- Linear Elastic Isotropic Model
- Modeled as a solid
- Thickness would include dermis and epidermis layers
- Material Properties
- Mass Density = 1.02 g/cm3
- Poisson's Ratio = 0.49
- E = 101.2 kPa
Questions:
- What stresses can the skin handle before causing damage or rupture?
- Can the aperture size be optimized to minimize stress?
The simulation shown to the left shows the results of a skin patch subjected under a pressure of 2475 N/m2 . This pressure value was chosen from the calculations done as described in the mathematical models section. The constraints applied to the skin patch were fixed geometries to the circumferential surface. The resulting deformation of the model was found to be 1.017mm which is extremely close to the intended 1mm value.
In order to confirm that the simulation model and mathematical model were accurate, various diameters of skin patch were tested in SolidWorks using the pressure calculated through the mathematical model to achieve 1mm of deformation. The results of this quick study are shown to the right and the resulting % differences are small supporting the SolidWorks simulations to be accurate.
After seeing the success of the circular skin patch shape, the group decided to analyze what various shapes would look like. The next shape tested was an ellipse which can be seen to the left. This shape used the same constraints and pressure values from the circular shape and the resulting deformation can be observed to be 0.46mm. This is expected as more pressure would be required to deform this shape to 1mm.
Future Work
Future Work
The group hopes to take what was learned through these initial simulations to further develop models. One major assumption made here was that the model would behave as a linear elastic model while real skill would behave more like a nonlinear elastic model. The group hopes to be able to create more lifelike models using nonlinear methods as well as looking at the effects of subcontenous tissue in the skin.
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