Architectured ceramics with tunable toughness and stiffness

Sarvestani, Hamidreza Yazdani; Beausoleil, C.; Genest, Marc; Ashrafi, Behnam

doi:10.1016/j.eml.2020.100844

Cited by 23 publications

(17 citation statements)

References 33 publications

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“…The concept that we demonstrated here could be applied to any soft materials including elastomers and hydrogels in order to achieve large inelastic deformation and high energy dissipation. Combining our composite with other successful implementations of nature's toughening mechanisms in the literature [8][9][10] is a promising way to make advanced laminate composites with high energy dissipations at multiple length scales.…”

Section: Discussionmentioning

confidence: 99%

Toughening elastomers via microstructured thermoplastic fibers with sacrificial bonds and hidden lengths

Zou¹,

Therriault²,

Gosselin³

2021

Extreme Mechanics Letters

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Soft materials capable of large inelastic deformation play an essential role in highperformance nacre-inspired architectured materials with a combination of stiffness, strength and toughness. The rigid "building blocks" made from glass or ceramic in these architectured materials lack inelastic deformation capabilities and thus rely on the soft interface material that bonds together these building blocks to achieve large deformation and high toughness. Here, we demonstrate the concept of achieving large inelastic deformation and high energy dissipation in soft materials by embedding microstructured thermoplastic fibers with sacrificial bonds and hidden lengths in a widely used elastomer. The microstructured fibers are fabricated by harnessing the fluid-mechanical instability of a molten polycarbonate (PC) thread on a commercial 3D printer. Polydimethylsiloxane (PDMS) resin is infiltrated around the fibers, creating a soft composite after curing. The failure mechanism and damage tolerance of the composite are analyzed through fracture tests. The high energy dissipation is found to be related to the multiple fracture events of both the sacrificial bonds and elastomer matrix. Combining the microstructured fibers and straight fibers in the elastomer composite results in a ~ 17 times increase in stiffness and a ~ 7 times increase in total energy to failure compared to the neat elastomer. Our findings in applying the

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Section: Discussionmentioning

confidence: 99%

Toughening elastomers via microstructured thermoplastic fibers with sacrificial bonds and hidden lengths

Zou¹,

Therriault²,

Gosselin³

2021

Extreme Mechanics Letters

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“…As such, beyond composition, the architectural arrangement of stiff building blocks plays a major role in imparting the toughening mechanisms that prevent catastrophic failure. While researchers have successfully implemented bioinspiration in designing ordered, multiscale lattice structures to toughen ceramics, [5][6][7][8][9][10][11][12] little attention has been paid to the disordered geometry of building block seen in bio-ceramics. [13,14] Thus, incorporating disorder or stochasticity similar to natural structures into engineered materials offers an untapped design tool that has the potential to improve fracture toughness beyond what is currently possible with ordered structures.…”

Section: Bioinspired Stochastic Design: Tough and Stiff Ceramic Systemsmentioning

confidence: 99%

“…The cut depths of 70% were found to have the highest energy absorption and multi-hit resistance in a previously tested configuration. [6,37] A robust and automated manufacturing method was developed to fabricate the ceramic panels as shown in Figure 2c. All the fabrication parameters have been kept constant to make the manufacturing process repeatable (see Experimental Section).…”

Section: Hybrid Manufacturingmentioning

confidence: 99%

“…The laser produces a Gaussian spatial profile beam of a maximum power output of 50 W, with a 3 ps pulse duration and a 25 µJ average pulse energy of 1030 nm wavelength. In previous studies, [39,40] a procedure was developed using a circular wobble pattern with the laser scanner to ensure that thermal damage and micro-cracks were minimized. The geometries of the three cell regularities were imported into the laser scanning software from 2D drawings in SolidWorks.…”

Section: Hybrid Manufacturingmentioning

confidence: 99%

“…The cut depths of 70% was found to have had the highest energy absorption performance and multi-hit resistance of different cut depths previously tested. [6,37] The number of passes on the laser scanner was used to control the depth of the cuts on the ceramic tile. Depth and cut quality control were conducted using a Keyence Confocal Laser and Optical Microscope.…”

Section: Hybrid Manufacturingmentioning

confidence: 99%

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Bioinspired Stochastic Design: Tough and Stiff Ceramic Systems

Sarvestani

Egmond

Esmail

et al. 2021

Adv Funct Materials

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Ceramics possess desirable stiffness, compressive strength, and thermal properties compared to alternative material classes. Despite this, the adoption of ceramics into advanced industries has been hindered by their inherent brittleness. Using a state-of-the-art manufacturing platform, the authors incorporate disordered microstructural features inspired by those found in natural, impact-resistant organisms using tessellated ceramic cells. To precisely mimic these natural patterns, a disorder parameter is introduced to modulate the stochasticity of the ceramic architectures. By modifying simple geometrical features such as cut depth and the disorder parameter, the energy absorption is dramatically improved, and the stiffness of the system can be tailored. It is found that the stochastic designs exhibit elevated damage tolerance, denoted by higher dynamic energy absorption (up to 330% for the 3rd impact) and stiffness (up to 200% for the 3rd impact) than both monolithic and perfectly hexagonal architectures. The results show a superior multi-hit resistance owing to optimal cut depth and stochasticity which give access to extrinsic toughening mechanisms that can be influenced through design parameters. This highly-scalable, digital manufacturing platform for creating numerically programmable architectures propels the automated production of intelligent, high-performance, and tailorable ceramic systems for industrial applications in aerospace, protective devices, and medicine.

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Combining Finite Element and Machine Learning Methods to Predict Structures of Architectured Interlocking Ceramics

et al. 2023

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Attaining optimum structural ceramic designs calls for an extensive search in a vast design space. Herein, the thermomechanical properties of interlocked ceramics are evaluated and an approach to assist their design under thermal shock loading is proposed. A combination of finite‐element (FE) and machine learning (ML) methods is used to simulate behaviors of systems and then to sweep the vast domain of input combinations to determine the best‐performing designs, respectively. First, FE modeling is done using a limited number of interlocking architectures with different design parameters via Comsol Multiphysics. The simulation data is used for training ML algorithms. Of the examined ML algorithms, Gaussian process regression (GPR), extreme gradient boosting (XGB), and neural networks (NN) more accurately predict the thermomechanical responses of the interlocking ceramics. After validation, the combination of FE and ML approaches is applied to thermal shielding and heat sink applications to find the optimal interlocked ceramics in terms of minimal out‐of‐plane deformation and maximal heat absorption, respectively. The results show the success of the approach in finding optimum designs in a space of more than 2 million cases. The striking success of the ML approach implies its promising potential for predicting physical properties of ceramics.

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Architectured ceramics with tunable toughness and stiffness

Cited by 23 publications

References 33 publications

Toughening elastomers via microstructured thermoplastic fibers with sacrificial bonds and hidden lengths

Toughening elastomers via microstructured thermoplastic fibers with sacrificial bonds and hidden lengths

Bioinspired Stochastic Design: Tough and Stiff Ceramic Systems

Combining Finite Element and Machine Learning Methods to Predict Structures of Architectured Interlocking Ceramics

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