Experimental and numerical studies on mechanical properties of TPMS structures

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 261, P. 108657 - 108657

Published: July 30, 2023

Language: Английский

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Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Advanced Materials, Journal Year: 2023, Volume and Issue: 36(8)

Published: Dec. 5, 2023

Abstract Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability assembled into multiscale systems, they hold great promise for realizing next‐generation devices exceptional, often exotic, functionalities. However, the vast design space and intricate structure–property relationships pose significant challenges their design. A compelling paradigm could bring full potential metamaterials fruition is emerging: data‐driven This review provides a holistic overview this rapidly evolving field, emphasizing general methodology instead specific domains deployment contexts. Existing research organized modules, encompassing data acquisition, machine learning‐based cell design, optimization. The approaches further categorized within each module based on shared principles, analyze compare strengths applicability, explore connections between different identify open questions opportunities.

Language: Английский

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Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects

Materials Science and Engineering R Reports, Journal Year: 2023, Volume and Issue: 156, P. 100755 - 100755

Published: Oct. 7, 2023

Language: Английский

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Morphing matter: from mechanical principles to robotic applications

Soft Science, Journal Year: 2023, Volume and Issue: 3(4)

Published: Oct. 31, 2023

The adaptability of natural organisms in altering body shapes response to the environment has inspired development artificial morphing matter. These materials encode ability transform their geometrical configurations specific stimuli and have diverse applications soft robotics, wearable electronics, biomedical devices. However, achieving intricate three-dimensional from a two-dimensional flat state is challenging, as it requires manipulations surface curvature controlled manner. In this review, we first summarize mechanical principles extensively explored for realizing matter, both at material structural levels. We then highlight its robotics field. Moreover, offer insights into open challenges opportunities that rapidly growing field faces. This review aims inspire researchers uncover innovative working create multifunctional matter various engineering fields.

Language: Английский

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Tailoring Stress–Strain Curves of Flexible Snapping Mechanical Metamaterial for On‐Demand Mechanical Responses via Data‐Driven Inverse Design

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(33)

Published: June 22, 2024

By incorporating soft materials into the architecture, flexible mechanical metamaterials enable promising applications, e.g., energy modulation, and shape morphing, with a well-controllable response, but suffer from spatial temporal programmability towards higher-level intelligence. One feasible solution is to introduce snapping structures then tune their responses by accurately tailoring stress-strain curves. However, owing strongly coupled nonlinearity of structural deformation material constitutive model, it difficult deduce curves using conventional ways. Here, machine learning pipeline trained finite element analysis data that considers those nonlinearities tailor metamaterialfor on-demand response an accuracy 97.41%, conforming well experiment. Utilizing established approach, absorption efficiency snapping-metamaterial-based device can be tuned within accessible range realize different rebound heights falling ball, actuators spatially temporally programmed achieve synchronous sequential actuation single input. Purely relying on structure designs, tailored increase devices' tunability/programmability. Such approach potentially extend similar nonlinear scenarios predictable or intelligent responses.

Language: Английский

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Implementing the inverse design and vibration isolation applications of piezoelectric acoustic black hole beams by machine learning

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113074 - 113074

Published: Feb. 1, 2025

Language: Английский

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Recent Advances of Auxetic Metamaterials in Smart Materials and Structural Systems

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Abstract Auxetic metamaterials refer to materials and structures with extraordinary deformation, i.e., transverse expansion (contraction) under uniaxial tension (compression). In recent decades, a very wide range of innovative functional performance has been discovered stemming from this behavior. This desirable exhibition adaptivity, programmability, functionality provides great potential in soft intelligent systems. However, thus far, the mainstream research on auxetic focused subjective design, monotonic mechanical properties, passive tunability. review thorough overview classical properties applications, primary objective proposing new roadmap auxetics for advances interdisciplinary field. The fundamental works are categorized different configurations mechanisms. particular, integration shape morphing, actuation, sensing, multiphysical response, inverse design is reviewed detail. To accelerate development smart structural systems, applications generalized into robotics (outside body), human–machine interaction (surrounding healthcare devices (inside body). Finally, several significant topics emphasized theory, material choice, manufacturing technique, applications.

Language: Английский

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Generative deep learning for designing irregular metamaterials with programmable nonlinear mechanical responses

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110123 - 110123

Published: March 1, 2025

Language: Английский

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Strut and stochastic polymer reinforcement interpenetrating phase composites: Static, strain-rate and dynamic damping performance

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: 198, P. 111618 - 111618

Published: Jan. 26, 2024

Language: Английский

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AI-Based Metamaterial Design

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(23), P. 29547 - 29569

Published: May 29, 2024

The use of metamaterials in various devices has revolutionized applications optics, healthcare, acoustics, and power systems. Advancements these fields demand novel or superior that can demonstrate targeted control electromagnetic, mechanical, thermal properties matter. Traditional design systems methods often require manual manipulations which is time-consuming resource intensive. integration artificial intelligence (AI) optimizing metamaterial be employed to explore variant disciplines address bottlenecks design. AI-based also enable the development by parameters cannot achieved using traditional methods. application AI leveraged accelerate analysis vast data sets as well better utilize limited via generative models. This review covers transformative impact for current challenges, emerging fields, future directions, within each domain are discussed.

Language: Английский

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