Biaxial porosity gradient and cell size adjustment improve energy absorption in rigid and flexible 3D-printed reentrant honeycomb auxetic structures

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102249 - 102249

Published: May 9, 2024

This paper compares different uniaxial and biaxial graded designs of auxetic reentrant honeycomb structures to enhance their mechanical properties, especially the specific energy absorption under compressive load. The lattice were 3D printed using vat photopolymerization masked-stereolithography technique from two materials – tough (OR) flexible (FR). results evaluated a material structural point view, investigating effect porosity, cell number, size, design, fracture mode. universally best energy-absorbing performance was found in biaxially structure with center-wise location highest local porosity. Depending on used resin, its capacity up 2–3 times enhanced compared reference uniform-porosity design. presented data constitutes fundamental understanding identifies practical approaches for tuning structures' regarding response. Finally, this study demonstrates potential shape versatility offered by printing other additive manufacturing techniques.

Language: Английский

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Comprehensive review of modeling and material selection for hybrid sandwich composites for ballistic impact application using Six Sigma DMAIC methodology

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Natural fiber-based PMC (polymer matrix composites) have recently been increasingly popular because of their reduced product weight, low material costs, and renewable sources. Hybrid composites with different combinations fibers/matrix are attracting interest from many manufacturing industries researchers for various applications specialized mechanical impact properties. Hybridization is one the most essential indispensable strategies to improve composite performance. sandwich reviewed enhance They mainly concentrate on improving properties increased energy absorption penetration behavior, making them competent advanced applications. The time-consuming challenging task identifying suitable a specific application. Selecting fiber difficult job can cause severe damage used in structural main objective this review select application by exploring literature gap. Six Sigma DMAIC methodology provides approach selection material. benefit choice has made based twofold decision-making process that an accurate result. In addition blending, qualitative (Pugh method) quantitative (Analytical hierarchy process) produce more results during comparison process, it easier choose best

Language: Английский

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INPR-Connector: Interlocking negative Poisson’s ratio connectors design for deployable energy absorption structures

Composites Part B Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112243 - 112243

Published: Feb. 1, 2025

Language: Английский

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Mechanical Metamaterials for Bioengineering: In Vitro, Wearable, and Implantable Applications

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

Published: Feb. 21, 2025

Mechanical metamaterials represent a promising class of materials characterized by unconventional mechanical properties derived from their engineered architectures. In the realm bioengineering, these offer unique opportunities for applications spanning in vitro models, wearable devices, and implantable biomedical technologies. This review discusses recent advancements bioengineering contexts. metamaterials, tailored to mimic specific biological tissues, enhance fidelity relevance models disease modeling therapy testing. Integration into devices enables creation comfortable adaptive interfaces with human body. Utilization promotes tissue regeneration, supports biomechanical functions, minimizes host immune responses. Key design strategies material selection criteria critical optimizing performance biocompatibility are elucidated. Representative case studies demonstrating benchtop phantoms scaffolds (in platforms); footwear, architectured fabrics, epidermal sensors (wearables); cardiovascular, gastrointestinal, orthopedic multifunctional patches highlighted. Finally, challenges future directions field discussed, emphasizing potential transform research enabling novel functionalities improving outcomes across diverse use cases.

Language: Английский

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In-plane mechanical behavior of tri-chiral and anti-trichiral auxetic cellular structures

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: 289, P. 110054 - 110054

Published: Feb. 21, 2025

Language: Английский

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Fatigue properties of 3D-printed polymeric metamaterials: A review

Smart Materials in Manufacturing, Journal Year: 2025, Volume and Issue: 3, P. 100076 - 100076

Published: Jan. 1, 2025

Language: Английский

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Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Materials science has traditionally relied on a combination of experimental techniques and theoretical modeling to discover develop new materials with desired properties. However, these processes can be time‐consuming, resource‐intensive, often limited by the complexity material systems. The advent artificial intelligence (AI), particularly machine learning, revolutionized offering powerful tools accelerate discovery, design, characterization novel materials. AI not only enhances predictive properties but also streamlines data analysis in like X‐Ray diffraction, Raman spectroscopy, scanning probe microscopy, electron microscopy. By leveraging large datasets, algorithms identify patterns, reduce noise, predict behavior unprecedented accuracy. In this review, recent advancements applications across various domains science, including synchrotron studies, microscopies, metamaterials, atomistic modeling, molecular drug are highlighted. It is discussed how AI‐driven methods reshaping field, making discovery more efficient, paving way for breakthroughs design real‐time analysis.

Language: Английский

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Recent advances in graphene origami-enabled auxetic metamaterial structures

Engineering Structures, Journal Year: 2025, Volume and Issue: 333, P. 120203 - 120203

Published: March 31, 2025

Language: Английский

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Complex uncertainty-oriented robust topology optimization for multiple mechanical metamaterials based on double-layer mesh

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 419, P. 116589 - 116589

Published: Nov. 16, 2023

Language: Английский

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Enhancing Biocompatibility and Mechanical Properties of Additively Manufactured Porous Gyroid Ti–6Al–4V Implants through Hydroxyapatite Infiltration

International Journal of Precision Engineering and Manufacturing, Journal Year: 2024, Volume and Issue: 25(10), P. 2177 - 2189

Published: June 5, 2024

Language: Английский

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