Nonlinear Coarse-graining Models for 3D Printed Multi-material Biomimetic Composites
Mauricio Cruz Saldivar, Eugeni L. Doubrovski, Mohammad J. Mirzaali,, Amir A. Zadpoor

TL;DR
This paper introduces a nonlinear coarse-graining method for predicting the mechanics of complex 3D printed biomimetic composites, enabling efficient design and optimization of advanced architected materials with predictable properties.
Contribution
A novel nonlinear coarse-graining approach using foam-based constitutive equations for modeling 3D printed biomimetic composites is developed and validated against experimental data.
Findings
Coarse-grained predictions closely match full-field strain measurements.
The method accurately predicts fracture behavior of complex bio-inspired designs.
Inverse coarse-graining successfully optimized microarchitecture of a 3D-printed femur.
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, spatial complexity makes 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 mechanics 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…
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