Image-based mechanical modeling of an electrospun scaffold
(2022) 7th International Conference on Computational and Mathematical Biomedical Engineering — Location: Milan, Italy (27.June.2022)
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- Authors
- et. al.
- Abstract
- Electrospun scaffolds are very promising for cardiovascular tissue engineering applications as they offer a high porosity for cell migration and an adequate mechanical support for tissue regeneration. These scaffolds are characterized by a complex microstructural organization, which defines their macro-mechanical behavior. The aim of this research is to investigate how the microstructure of the scaffold influences the macro-mechanical properties by combining high-resolution X-ray microfocus computed tomography (HR-XCT) imaging with uniaxial tensile testing and microscale modeling.The scaffold was first imaged using a Nanotom M microCT. Based on the images, the microstructure of the scaffold was characterized (i.e. fibers thickness and orientation) and the individual fibers were segmented for the creation of a representative volume element (RVE) used in the FE model. Secondly, a virtual uniaxial tensile test was simulated on the RVE and the virtual stress-stretch curve was compared to the actual experimental stretch-stress curve of the scaffold.
- Affiliations
KU Leuven Department of Mechanical Engineering, Biomechanics Division
Citations
Pétré, M., Ghasemi, M., Vervenne, T., Pyka, G., Kerckhofs, G., Cox, M., Fehervary, H., Fameay, N., & et al. (2022). Image-based mechanical modeling of an electrospun scaffold. 7th International Conference on Computational and Mathematical Biomedical Engineering, Milan, Italy.