3D printing of active mechanical metamaterials: A critical review

Materials & Design, Год журнала: 2024, Номер unknown, С. 113305 - 113305

Опубликована: Сен. 1, 2024

Язык: Английский

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Development of sustainable polymer composite with agro‐industrial residue for biomedical applications

Polymer Engineering and Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Abstract The excessive use of plastics has raised significant environmental concerns, including harm to marine ecosystems and pollution. PLA, a widely used bioplastic, suffers from low toughness thermal stability, limiting its industrial applications. This study addresses these limitations by incorporating soybean hulls, biodegradable agricultural waste, as filler in PLA/PBAT blends develop sustainable composites for 3D printing. Advanced optimization techniques, grey relational analysis (GRA) Taguchi design experiments (TGRA), were optimize printing parameters. Results showed that the raster angle had most influence on mechanical properties (70%). Validation tests using optimized parameters demonstrated 23% decrease tensile strength with 10 wt% hulls but 35% increase flexural only 3% reduction impact strength. These make composite suitable biomedical rigid packaging Scanning electron microscopy revealed voids, pullouts, reduced interlayer adhesion, providing insights into material's microstructure. highlights innovative waste printing, combining eco‐friendly advanced techniques improve sustainability performance. Highlights Biodegradable hull made via FDM studied. Raster influences 70% property variations composites. Adding 10% increased 23%. Grey improves properties. Eco‐friendly could replace petroleum purposes.

Язык: Английский

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Predicting Mechanical Properties of FDM‐Produced Parts Using Machine Learning Approaches

Journal of Applied Polymer Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 23, 2025

ABSTRACT Additive manufacturing (AM), especially fused deposition modeling (FDM), has been widely used in industrial production processes recent years. The mechanical properties of parts produced by FDM can be predicted through the correct selection printing parameters. In this study, 25 machine learning (ML) algorithms were to predict (hardness, tensile strength, flexural and surface roughness) acrylonitrile butadiene styrene (ABS) samples fabricated FDM. Experiments conducted using three different layer thicknesses (100, 150, 200 μm), infill densities (50%, 75%, 100%), nozzle temperatures (220°C, 230°C, 240°C). effects parameters on investigated analysis variance (ANOVA). This results indicated that density had most significant effect hardness (55.56%), strength (80.02%), (77.13%). addition, thickness was identified as influential parameter roughness, with an 70.89%. prediction performance ML evaluated based mean absolute error (MAE), root squared error, R ‐squared ( 2 ) values. KSTAR algorithm best both MAE values 0.006 0.009, respectively, value up 0.99. For MLP determined successful method, achieving high accuracy > 0.99) for properties. comparison graphs between actual showed overall accuracy, a particularly strong agreement hardness, roughness. study provided recommendations predicting 3D process these findings.

Язык: Английский

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Great elastomer-based composites for robust and portable wearable sensors: a critical review

Sensors and Actuators A Physical, Год журнала: 2025, Номер unknown, С. 116563 - 116563

Опубликована: Апрель 1, 2025

Язык: Английский

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Bi-material V-notch fracture analysis in functionally graded materials

Engineering Analysis with Boundary Elements, Год журнала: 2025, Номер 172, С. 106127 - 106127

Опубликована: Янв. 23, 2025

Язык: Английский

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Development of personalized cast shoes using 3D printing technology

Fashion and Textiles, Год журнала: 2025, Номер 12(1)

Опубликована: Март 17, 2025

Abstract The need for personalized protective footwear patients undergoing cast surgery has led to this research exploring efficient 3D printing methods custom-made products. Focusing on these patients, study developed and evaluated a prototype shoe, demonstrating the practical applicability of in field. shoe sole using multi-material method with TPU (ThermoPlastic Polyurethane) ABS (acrylonitrile butadiene styrene). Each prototype's design was tailored based individual body data, incorporating features like printed toe cover lock enhance user convenience. external each customized participant's shape preferences. Participants reported that provided stability improved protection. It also positively usability aspects weight reduction, mobility, comfort. Regarding aesthetic satisfaction, received high ratings. In response feedback, final incorporated various improvements comfort aesthetics. considered elements ventilation, shortened production time, achieved by including specific patterns its upper part. This proposes printing-based products, highlighting their from perspective. is significant bridging gap between academic application field printing.

Язык: Английский

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Reviewing Additive Manufacturing Techniques: Material Trends and Weight Optimization Possibilities Through Innovative Printing Patterns

Materials, Год журнала: 2025, Номер 18(6), С. 1377 - 1377

Опубликована: Март 20, 2025

Additive manufacturing is transforming modern industries by enabling the production of lightweight, complex structures while minimizing material waste and energy consumption. This review explores its evolution, covering historical developments, key technologies, emerging trends. It highlights advancements in innovations, including metals, polymers, composites, ceramics, tailored to enhance mechanical properties expand functional applications. Special emphasis given bioinspired designs their contribution enhancing structural efficiency. Additionally, potential these techniques for sustainable industrial scalability discussed. The findings contribute a broader understanding Manufacturing’s impact on design optimization performance, offering insights into future research

Язык: Английский

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Optimization Scheme for 3D Printing of PLA–PHBV–PCL Biodegradable Blends for Use in Orthopedic Casting

Polymers, Год журнала: 2025, Номер 17(7), С. 852 - 852

Опубликована: Март 22, 2025

Three-dimensional printing technology offers significant advantages in the production of orthopedic casts, providing a promising alternative to conventional plaster and fiberglass materials. Polylactic acid (PLA) is widely used for this purpose; however, its adoption limited due poor mechanical properties, including high brittleness, low thermal stability, elongation. These challenges can be mitigated by blending PLA with other biodegradable polymers. This study investigated blend poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV), type polyhydroxyalkanoate (PHA), polycaprolactone (PCL) development 3D printed casts. The key properties-tensile strength, percent elongation at break, Young's modulus, flexural impact strength-were evaluated as function parameters, nozzle temperature, layer height, raster angle. grey relational analysis (GRA) approach was applied optimize these properties. optimal parameters were found temperature 180 °C, height 0.18 mm, angle 0°, resulting tensile strength 44.4 ± 4.4 MPa, an break 68.5 11.6%, modulus 948.7 25.1 54.6 8.9 1549.3 141 80.77 5.6 J/m. Statistical using variance (ANOVA) revealed that 50.18% influenced angle, 26.38% 18.92% temperature; 69.81% 20.67% 3.53% 75.11% 13.16% 4.45% temperature.

Язык: Английский

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Intrabead and interbead fracture analysis of large area additive manufactured polymer and polymer composites

Composites Science and Technology, Год журнала: 2025, Номер unknown, С. 111173 - 111173

Опубликована: Апрель 1, 2025

Язык: Английский

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Investigation of the Bonding Performance of Parts Produced by FDM and SLA 3D Printing Methods

İmalat Teknolojileri ve Uygulamaları, Год журнала: 2025, Номер 6(1), С. 100 - 110

Опубликована: Апрель 30, 2025

In this study, the bonding properties of parts produced using additive manufacturing methods, which are frequently preferred today, were investigated. context, by Stereolithography (SLA) and Fused Deposition Modelling (FDM) methods. The mechanical materials determined tensile test according to ASTM D638 standard. Afterwards, these bonded in different combinations joints D1002 As a result, strength Polylactic Acid (PLA) FDM method was 65% higher than that PhotoPolymer Resin (PPR) SLA method, while strain rates PPR 85% PLA materials. When failure load values obtained after joint specimens examined, best performance as 3086 N combination composite material. lowest damage occurred displacement data resulting from analysed, highest PPR-PPR material combination. conclusion, can be used for joining manufacturing, but choice should based on application.

Язык: Английский

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