Mechanical Design of 3D Printed Bone Tissue Scaffolds with Tunable Anisotropy

Biomedical Engineering Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100170 - 100170

Published: April 1, 2025

Language: Английский

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A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modelled auxetic metamaterials

Virtual and Physical Prototyping, Journal Year: 2024, Volume and Issue: 20(1)

Published: Dec. 30, 2024

Auxetic structures, characterised by a negative Poisson's ratio, exhibit the unique property of expanding in all directions under tensile loading and contracting when compressed. The behaviour these structures is highly influenced arrangement material within unit cell interactions between cells. Due to complexity their behaviour, understanding modelling auxetic materials pose significant challenges, requiring extensive experimentation sophisticated frameworks. As result, machine learning (ML) techniques have emerged as powerful tool for predicting mechanical properties studying metamaterials various conditions. This review provides comprehensive analysis use ML algorithms performance metamaterials. It discusses details datasets, employed, 3D printing technologies used sample fabrication, geometries explored literature. In addition 3D-printed this also includes findings from finite element-based models. Finally, paper outlines future research directions, highlighting opportunities advance application using techniques.

Language: Английский

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Mechanical characterization of a metamaterial with negative Poisson’s ratio under compressive loading: Experimental along with FEM

Mechanics of Advanced Materials and Structures, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: March 23, 2025

Language: Английский

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Continuously adjustable mechanical metamaterial based on planetary gear trains and external meshing gears

Applied Mathematics and Mechanics, Journal Year: 2025, Volume and Issue: 46(2), P. 233 - 252

Published: Jan. 30, 2025

Language: Английский

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Enhancing Printability, Mechanical, and Shape Memory Properties of 4D Printed Linear‐Low‐Density Polyethylene (LLDPE) Through Blending With Polyethylene Terephthalate Glycol (PETG)

Journal of Applied Polymer Science, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

ABSTRACT Polyethylene (PE) is one of the most widely used commodity plastics, yet its integration into pioneering field polymer‐based 3D and 4D printing remains challenging. Conversely, polyethylene terephthalate glycol (PETG) a utilized material in printing, capable mitigating limitations PE these applications through blending. Herein, three weight percentages 15, 30, 45 wt% PETG were added to low‐density (LDPE), printed samples subjected comprehensive evaluation mechanical properties, morphology, thermal analysis, shape memory properties. The results dynamic analysis (DMTA) revealed noticeable peak tan δ around 80°C, which becomes more pronounced blends with higher content. Scanning electron microscopy (SEM) showed that increasing concentration 3D‐printed LDPE/PETG transforms their morphology from distinct, void‐rich phases at 15 improved dispersion 30 PETG, finally co‐continuous, strongly adhered structure indicating enhanced compatibility. Tensile testing demonstrated shift ductile brittle behavior as content increased. Shape indicated concentrations improve recovery performance, achieving highest ratio (88.7%) showing lowest (68.7%). These represent significant step toward incorporating LDPE commercial materials.

Language: Английский

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Comprehensive Investigation of 3D/4D‐Printed Biodegradable PBAT‐CB Composites: Thermal, Morphology, Cyclic Shape Memory, and Mechanical Properties

Journal of Applied Polymer Science, Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

ABSTRACT The increasing concerns about plastic pollution have led to significant attention being paid poly(butylene‐adipate‐co‐terephthalate) (PBAT), a biodegradable polymer, in recent years. However, its application 3D printing has been limited due soft nature, which makes it difficult print using filament‐based printers. In this study, PBAT and carbon black (CB) reinforced nanocomposites were 4D printed as standalone material. To achieve this, was melt mixed with different weight percentages of CB then direct pellet printing. SEM imaging revealed that quality decreased content but showed good compatibility between nanoparticles the matrix, although clustering occurred at high concentrations. samples 1% 5% exhibited highest ultimate tensile strength, values 8.4 MPa 8.6 MPa, respectively, approximately 15% improvement compared pure PBAT. All recovery ratios above 90%, addition may reduce shape ratio. cyclic memory testing mechanical properties recovered cycle count increased. As concentration increased, decline slowed down, more stable during process.

Language: Английский

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Programable shape recovery properties and snap-through instabilities of viscoelastic and shape-memory NS metamaterials

Materials Today Communications, Journal Year: 2024, Volume and Issue: 41, P. 110934 - 110934

Published: Nov. 12, 2024

Language: Английский

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