Abstract
Tissue engineering represents a new, emerging interdisciplinary field involving combined efforts of several scientific domains towards the development of biological substitutes to restore, maintain, or improve tissue functions. Scaffolds provide a temporary mechanical and vascular support for tissue regeneration while shaping the in-growth tissues. These scaffolds must be biocompatible, biodegradable, with appropriate porosity, pore structure and pore distribution and optimal structural and vascular performance, having both surface and structural compatibility. Surface compatibility means a chemical, biological and physical suitability to the host tissue. Structural compatibility corresponds to an optimal adaptation to the mechanical behaviour of the host tissue. The design of optimised scaffolds based on the fundamental knowledge of its macro microstructure is a relevant topic of research. This research proposes the use of geometric structures based on Triple Periodic Minimal Surfaces for Shear Stress applications. Geometries based on these surfaces enables the design of vary high surface-to-volume ratio structures with high porosity and mechanical/vascular properties. Previous work has demonstrated the potential of Schwartz and Schoen surfaces in tensile/compressive solicitations, when compared to regular geometric based scaffolds. The main objective is to evaluate the same scaffold designs under shear stress solicitations varying the thickness and radius of the scaffold’s geometric definition.
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Acknowledgments
The authors acknowledge the support of the Strategic Project (PEST-OE/EME/UI4044/2013) funded by the Portuguese Foundation for Science and Technology. Authors also acknowledge the support of the European Commission through the Marie Curie Project International Research Exchange for Biomedical Devices Design and Prototyping IREBID.
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Almeida, H.A., Bártolo, P.J. (2015). Structural Shear Stress Evaluation of Triple Periodic Minimal Surfaces. In: Tavares, J., Natal Jorge, R. (eds) Computational and Experimental Biomedical Sciences: Methods and Applications. Lecture Notes in Computational Vision and Biomechanics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-15799-3_1
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DOI: https://doi.org/10.1007/978-3-319-15799-3_1
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