International Journal of Polymer Analysis and Characterization, Год журнала: 2025, Номер unknown, С. 1 - 19
Опубликована: Май 28, 2025
Язык: Английский
Polymer Composites, Год журнала: 2025, Номер unknown
Опубликована: Март 24, 2025
Abstract This work investigates the effect of printing parameters on crashworthiness performance square tubes made with polyethylene terephthalate glycol reinforced carbon fiber (PETG‐CF). was accomplished by analyzing three parameters, infill pattern structure, density, and layer height, each which changed across four levels. The specimens' structural then assessed using quasi‐static axial compression testing. In addition to carefully documenting failure histories, data crash load, absorbed energy, displacement responses were methodically recorded during Several critical measures, including initial peak load (), total energy (U), mean specific (SEA), force efficiency (CFE), used evaluate crashworthiness. A complex proportional assessment (COPRAS) method, employed determine optimal configuration. results indicate that honeycomb structure achieves highest values for , U, SEA, measurements 5.57 kN, 250.54 J, 4.64 15.27 J/g, respectively. Meanwhile, Schwarz P attains maximum CFE, a value 1.585. COPRAS further indicated HC‐30‐0.20 configuration exhibited best performance. Highlights designed configurations created FDM. exposed loads. crashing absorption curves against computed. Besides, histories detected. Furthermore, method is catch structure.
Язык: Английский
Процитировано
1
AIP Advances, Год журнала: 2025, Номер 15(4)
Опубликована: Апрель 1, 2025
This study introduces a novel approach for predicting the mechanical properties of 3D-printed polylactic acid wood composites using gene expression programming (GEP) and artificial neural networks (ANN) modeling methods. Addressing challenge determining optimal process parameters in fused deposition natural fiber composites, experiments were designed Taguchi’s L27 orthogonal array. Five key analyzed: layer thickness (100–300 μm), printing speed (40–90 mm/s), raster angle (0°–90°), infill density (35%–95%), nozzle temperature (200–220 °C). ANOVA results identified as most influential factor, contributing 38.36% 26% to tensile compressive strengths, respectively. Subsequently, comparative statistical analysis evaluated predictive accuracy GEP ANN. The model exhibited superior performance, achieving validation errors between 0.04% 0.82%, outperforming ANN (0.34%–5.31%). These findings provide robust framework enhancing performance sustainable enabling more efficient reliable production processes additive manufacturing.
Язык: Английский
Процитировано
1
Journal of Materials Engineering and Performance, Год журнала: 2025, Номер unknown
Опубликована: Апрель 24, 2025
Язык: Английский
Процитировано
1
Journal of Materials Engineering and Performance, Год журнала: 2025, Номер unknown
Опубликована: Янв. 30, 2025
Язык: Английский
Процитировано
0
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160856 - 160856
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Rapid Prototyping Journal, Год журнала: 2025, Номер unknown
Опубликована: Март 28, 2025
Purpose This study aims to evaluate the mechanical and microstructural attributes of 3D-printed recycled polyethylene terephthalate (rPET) produced through fused deposition modeling (FDM). Given environmental concerns surrounding plastic waste, this research focuses on optimizing reuse polymeric materials produce consumable products provide these with a second life. By examining effects various FDM parameters, seeks identify optimal settings enhance properties surface quality rPET. Design/methodology/approach involves recycling (PET) an element extrusion process create filaments suitable for additive manufacturing via FDM. systematically investigates influence five parameters – build orientation, layer height (Lh), printing orientation (Op), infill pattern (Ip) speed (Sp) [tensile strength (TS), impact (IS), hardness (H) roughness (Ra)] Microstructural analyses are performed using optical scanning electron microscopy correlate features. The significance is further examined analysis variance multivariate variance. Findings concludes that parameter significantly Specifically, maximum TS 29 MPa IS 0.27 J achieved Lh 0.10–0.15 mm, Sp 70–100 mm/sec Op 80°–90°. Maximum (68 HV) observed at heights 0.25–0.30 speeds 90–100 mm/sec, orientations reveals high-strength samples exhibit ductile fracture prominent elongation (3.91%), whereas low-strength display brittle less (3.08%). Originality/value provides valuable insights into PET manufacturing, demonstrating potential rPET in producing high-quality parts. highlights feasibility transforming waste products, contributing sustainability management. findings offer practical guide industries researchers seeking performance materials.
Язык: Английский
Процитировано
0
Iranian Polymer Journal, Год журнала: 2025, Номер unknown
Опубликована: Март 28, 2025
Язык: Английский
Процитировано
0
Advanced Intelligent Systems, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
4D printing with carbon nanotube (CNT)‐reinforced polymers enables advanced shape‐changing materials but faces challenges in CNT dispersion and performance. This study addresses these limitations by functionalizing CNTs polyethylene glycol (PEG), significantly enhancing interfacial bonding within biocompatible polyvinyl chloride (PVC)‐polycaprolactone (PCL) composites. The composites, tailored for biomedical applications a glass transition temperature (T g ) of 37–41 °C, exhibit enhanced mechanical, thermal, shape‐memory properties. At 0.5 wt% CNT, the composite achieves 25% increase tensile strength, 95.78% shape fixity, 5‐s recovery time, offering an optimal balance flexibility, rapid recovery. Higher concentrations (5 wt%) further improve thermal stability, increasing decomposition 20 °C storage modulus 670 MPa, although ductility is reduced. PEG grafting prevents agglomeration, enabling high filler loading without compromising printability, as confirmed through uniform nanoparticle defect‐free fused deposition modeling (FDM)‐printed structures. These intelligent composites combine biocompatibility, durability, excellent performance, making them suitable diverse structural applications, such adaptive medical devices, ergonomic shoe soles, wearable biosensors. novel material provides versatile platform high‐performance, 4D‐printed systems that address current polymer nanocomposites advance engineering innovations.
Язык: Английский
Процитировано
0
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Апрель 6, 2025
Abstract With the growing popularity of 3D-printed products, material consumption has been a major concern in additive manufacturing recent years. Choosing infill structure and printing parameters for an application can be challenging product designers engineers, which lead to reduced increased cost savings while maintaining functioning. This study investigates mechanical behavior PLA structures by exploring influence multi-layer patterns on tensile compressive strength. Three common (triangular, grid, honeycomb) were evaluated at 20% 50% densities. A novel approach was employed, incorporating specimens with single-, two-, four-layer same pattern combinations, where subsequent layers rotated 180 degrees enhance interlayer bonding. Results demonstrated significant improvements both (up 64%) strength 47%) two-layer compared single-layer counterparts. The findings provide valuable insights into optimizing design layer configurations improved efficiency structures. research highlights potential part performance through strategic design, offering pathway toward enhanced properties manufacturing.
Язык: Английский
Процитировано
0
ACS Applied Bio Materials, Год журнала: 2025, Номер unknown
Опубликована: Апрель 8, 2025
Additive manufacturing (AM) has revolutionized biomedical applications by enabling personalized designs, intricate geometries, and cost-effective solutions. This progress stems from interdisciplinary collaborations across medicine, biomaterials, engineering, artificial intelligence, microelectronics. A pivotal aspect of AM is the development materials that respond to stimuli such as heat, light, moisture, chemical changes, paving way for intelligent systems tailored specific needs. Among employed in AM, polymers have gained prominence due their flexibility, synthetic versatility, broad property spectrum. Their adaptability made them most widely used material class processes, offering potential diverse applications, including surgical tools, structural composites, photovoltaic devices, filtration systems. Despite this, integrating multiple polymer achieve multifunctional dynamic performance remains a significant challenge, highlighting need further research. review explores foundational principles emphasizing its application tissue engineering medical technologies. It provides an in-depth analysis systems, besides inorganic oxides bioinks, examines unique properties, advantages, limitations within context AM. Additionally, highlights emerging techniques like rapid prototyping 3D printing, which hold promise advancing applications. By addressing critical factors influencing processes proposing innovative approaches integration, this aims guide future research field. The insights presented here underscore transformative creating dynamic, meet evolving healthcare demands.
Язык: Английский
Процитировано
0