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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Mirzaali, Mohammad, J.
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Curvature tuning through defect-based 4D printingcitations
- 2024Bone cell response to additively manufactured 3D micro-architectures with controlled Poisson's ratiocitations
- 20244D Printing for Biomedical Applicationscitations
- 2023Biomechanical evaluation of additively manufactured patient-specific mandibular cage implants designed with a semi-automated workflowcitations
- 2023Auxeticity as a Mechanobiological Tool to Create Meta-Biomaterialscitations
- 2023Quality of AM implants in biomedical applicationcitations
- 2022Mechanisms of fatigue crack initiation and propagation in auxetic meta-biomaterialscitations
- 2022Merging strut-based and minimal surface meta-biomaterialscitations
- 2022Nonlinear coarse-graining models for 3D printed multi-material biomimetic compositescitations
- 2022Magneto‐/ electro‐responsive polymers toward manufacturing, characterization, and biomedical/ soft robotic applicationscitations
- 2022Additive Manufacturing of Biomaterialscitations
- 2021Fatigue performance of auxetic meta-biomaterialscitations
- 2021Dynamic characterization of 3D printed mechanical metamaterials with tunable elastic propertiescitations
- 2021Mechanical characterization of nanopillars by atomic force microscopycitations
- 2021Lattice structures made by laser powder bed fusioncitations
- 2020Multi-material additive manufacturing technologies for Ti-, Mg-, and Fe-based biomaterials for bone substitutioncitations
- 2020Mechanics of bioinspired functionally graded soft-hard composites made by multi-material 3D printingcitations
- 2020Magnetorheological elastomer compositescitations
- 2019Auxeticity and stiffness of random networkscitations
- 2019Additive manufacturing of Ti–6Al–4V parts through laser metal deposition (LMD)citations
- 2019Additive manufacturing of metals using powder bed-based technologies
- 2019Fracture Behavior of Bio-Inspired Functionally Graded Soft–Hard Composites Made by Multi-Material 3D Printingcitations
- 2018Multi-material 3D printed mechanical metamaterialscitations
- 2017Rational design of soft mechanical metamaterialscitations
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article
Auxeticity and stiffness of random networks
Abstract
<p>The emergence of advanced 3D printing techniques and the recent interest in architected materials have sparked a surge of interest in mechanical metamaterials whose unusual properties are defined by their highly ordered microarchitectures. Mechanical metamaterials with disordered microarchitectures have, however, not received as much attention despite their inherent advantages, such as robustness against the precise arrangement and design parameters of individual unit cells. Here, we computationally studied the elastic properties of two general types of disordered networks, namely, lattice-restricted and unrestricted networks that were made of beamlike elements and possessed mean connectivity values, Z, ranging between 2.5 and 7. We also additively manufactured a number of representative networks using selective laser sintering and showed that their deformations are consistent with our computational predictions. Unrestricted networks exhibited several advantages over the lattice-restricted ones including a broader range of achievable elastic modulus-Poisson's ratio duos as well as a higher probability of exhibiting auxetic and double-auxetic (i.e., auxetic behavior in both orthogonal directions) behaviors. Most interestingly, we could find unrestricted auxetic networks for high connectivity levels of up to 4.5, while no lattice-restricted auxetic networks were found for any connectivity level beyond 3.5. Given the fact that, according to Maxwell's criterion, 3.5 is the highest Z for which both of our lattice-restricted and unrestricted networks are bending-dominated, we concluded that unrestricted networks exhibit auxetic behavior well into their stretch-dominated domain. This is a promising observation that underlines the potential of unrestricted networks for the challenging task of designing stiff auxetic metamaterials in the stretch-dominated domain (i.e., Z = 4-4.5).</p>