Print Email Facebook Twitter Nonlinear coarse-graining models for 3D printed multi-material biomimetic composites Title Nonlinear coarse-graining models for 3D printed multi-material biomimetic composites Author Cruz Saldivar, M. (TU Delft Biomaterials & Tissue Biomechanics) Doubrovski, E.L. (TU Delft Mechatronic Design) Mirzaali, Mohammad J. (TU Delft Biomaterials & Tissue Biomechanics) Zadpoor, A.A. (TU Delft Biomaterials & Tissue Biomechanics) Date 2022 Abstract Bio-inspired composites are a great promise for mimicking the extraordinary and highly efficient properties of natural materials. Recent developments in voxel-by-voxel 3D printing have enabled extreme levels of control over the material deposition, yielding complex micro-architected materials. However, design complexity, very large degrees of freedom, and limited computational resources make it a formidable challenge to find the optimal distribution of both hard and soft phases. To address this, a nonlinear coarse-graining approach is developed, where foam-based constitutive equations are used to predict the elastoplastic mechanical behavior of biomimetic composites. The proposed approach is validated by comparing coarse-grained finite element predictions against full-field strain distributions measured using digital image correlation. To evaluate the degree of coarse-graining on model accuracy, pre-notched specimens decorated with a binarized version of a renowned painting were modeled. Subsequently, coarse-graining is used to predict the fracture behavior of bio-inspired composites incorporating complex designs, such as functional gradients and hierarchical organizations. Finally, as a showcase of the proposed approach, the inverse coarse-graining is combined with a theoretical model of bone tissue adaptation to optimize the microarchitecture of a 3D-printed femur. The predicted properties were in exceptionally good agreement with the corresponding experimental results. Therefore, the coarse-graining method allows the design of advanced architected materials with tunable and predictable properties. Subject 3D printingBioinspiredBiomimetic MaterialBitmapCoarse-grained modelMulti-materialVoxel-based To reference this document use: http://resolver.tudelft.nl/uuid:eaa09cbe-5c50-4a60-a37c-cc312765e589 DOI https://doi.org/10.1016/j.addma.2022.103062 ISSN 2214-8604 Source Additive Manufacturing, 58 Part of collection Institutional Repository Document type journal article Rights © 2022 M. Cruz Saldivar, E.L. Doubrovski, Mohammad J. Mirzaali, A.A. Zadpoor Files PDF 1_s2.0_S2214860422004547_main.pdf 3.73 MB Close viewer /islandora/object/uuid:eaa09cbe-5c50-4a60-a37c-cc312765e589/datastream/OBJ/view