Treffer: Numerical design, fabrication, and characterization of porous tissue scaffolds for bone regeneration

With the recent advancements within biomedical engineering of bone tissue scaffolds, there is still a need to develop mechanically robust and biocompatible with low immunogenicity for bone regeneration. Additionally, the evaluation of the fluid dynamics of the porous Triply Periodic Minimal Surfaces (TPMS) bone scaffold also shows the need for investigation due to the complex fluid interaction of hemodynamics that occurs with the scaffold internal and external domains. To aid in the development of treating bone fractures, defects, and diseases. Furthermore, with the induction of a wide variety of TPMS architecture that yields different topologies, the Convolutional Neural Network (CNN) model will aid in predicting the TPMS scaffold characteristic to help develop critical design parameters. Thus, this research has observed biocompatible and mechanically strong materials with bone regeneration applications by evaluating polyamide, polyolefin, and cellulose fibers (PAPC) and SimuBone biomaterial. The TPMS scaffolds are fabricated by fused deposition modeling (FDM) additive manufacturing. Furthermore, the evaluation of fluid dynamics of internal and external effects using the computational fluid dynamics (CFD) method is used to observe the fluid interaction of the TPMS scaffold. Therefore, ANSYS (Fluent with Fluent Meshing) software captures the pressure, wall shear stress, and velocity streamline characteristics. As for the bone scaffold topology prediction, machine learning CNN is used and developed within Python to observe these properties. Accuracy, loss, validation accuracy, validation loss, and FScore will be recorded to aid in developing the hyperparameters with the CNN platform. Therefore, the findings show that PAPC compression modulus performance observed that Neovius and Schwarz-Diamond designs have higher levels of compression strength than that of Schwarz-Primitive and Schwarz-Gyroid designs. As for SimuBone biomaterial, it was observed to be a suitable bone tissue engineering material due to its robust ...