Enhancing Fused Deposition Modeling Precision with Serial Communication-Driven Closed-Loop Control and Image Analysis for Fault Diagnosis-Correction

Materials, Journal Year: 2024, Volume and Issue: 17(7), P. 1459 - 1459

Published: March 22, 2024

Additive manufacturing (AM) also commonly known as 3D printing is an advanced technique for complex three-dimensional (3D) parts by depositing raw material layer layer. Various sub-categories of additive exist including directed energy deposition (DED), powder bed fusion (PBF), and fused modeling (FDM). FDM has gained widespread adoption a popular method parts, even heavy-duty industrial applications. However, challenges remain, particularly regarding part quality. Print parameters such print speed, nozzle temperature, flow rate can significantly impact the final product’s To address this, implementing closed-loop quality control system essential. This consistently monitors surface during adjusts upon defect detection. In this study, we propose simple yet effective image analysis-based system, utilizing serial communication Python v3.12, widely accessible software platform. The system’s accuracy robustness are evaluated, demonstrating its effectiveness in ensuring FDM-printed Notably, offers superior speed restoring to normal detection easily implementable on commercially available printers, fostering decentralized manufacturing.

Language: Английский

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Quantitative Insight into the Compressive Strain Rate Sensitivity of Polylactic Acid, Acrylonitrile Butadiene Styrene, Polyamide 12, and Polypropylene in Material Extrusion Additive Manufacturing

Journal of Dynamic Behavior of Materials, Journal Year: 2024, Volume and Issue: 10(3), P. 251 - 269

Published: April 11, 2024

Abstract Herein, a research and engineering gap, i.e., the quantitative determination of effects compressive loading rate on response most popular polymers in Material Extrusion (MEX) Additive Manufacturing (AM) is successfully filled out. PLA (Polylactic Acid), ABS (Acrylonitrile Butadiene Styrene), PP (Polypropylene), PA12 (Polyamide 12) raw powders were evaluated melt-extruded to produce fully documented filaments for 3D printing. Compressive specimens after ASTM-D695 standard then fabricated with MEX AM. The tests carried out pure quasi-static conditions test (1.3 mm/min) accelerated rates 50, 100, 150, 200 mm/min respectively per polymer. experimental evaluation course proved differences responses among different polymers, terms strength, elasticity modulus, toughness, strain sensitivity index. A common finding was that increase increased mechanical polymeric parts. strength reached 25% between lowest highest parts tested polymers. Remarkable variations deformation fracture modes also observed documented. current yielded results valuable predictive capacity modeling modeling, which hold industrial merit.

Language: Английский

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3D printed CoCrMo personalised load-bearing meta-scaffold for critical size tibial reconstruction

Annals of 3D Printed Medicine, Journal Year: 2024, Volume and Issue: 15, P. 100163 - 100163

Published: June 22, 2024

Porous scaffolds have evolved, allowing personalised 3D-printed structures that can improve tissue reconstruction. By using with specific porosity, Poisson's ratio and stiffness, load-bearing tissues such as tibial reconstruction be improved. Recent studies suggest the potential for negative (−υ) meta-scaffolds in mimicking behaviour of natural tissue, leading to improved healing reintegration. This study reveals a porous meta-scaffold offers high −υ match desired stiffness. laser powder bed fusion (L-PBF) CoCrMo, structure was created, characterised by its ability achieve heightened −υ. Prototype testing numerical modelling unveiled proxy-model capable predicting personalising yield strength, elastic modulus, representing novel contribution field. The surrogate model also aids characterising impact design variables scaffold on key performance requirements scaffold. approach enables fabrication biomaterials properties, specifically suited resulting ranging from -0.16 -0.38, porosity between 73.46% 85.36%, strength 30-80 MPa, modulus 8.6-22.6 GPa. optimised architecture feature 0.223 targeted 17.53 GPa, while showcasing 57.2 MPa 76.35%, respectively. combining 3D printing tailored scaffolds, this opens doors mass customisation stiffness matching.

Language: Английский

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Simultaneous optimization of stiffness, permeability, and surface area in metallic bone scaffolds

International Journal of Engineering Science, Journal Year: 2023, Volume and Issue: 193, P. 103961 - 103961

Published: Sept. 22, 2023

Language: Английский

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3D printing customised stiffness-matched meta-biomaterial with near-zero auxeticity for load-bearing tissue repair

Bioprinting, Journal Year: 2023, Volume and Issue: 33, P. e00292 - e00292

Published: June 19, 2023

The evolution of meta-biomaterials has opened up exciting new opportunities for mass personalisation biomedical devices. This research paper details the development a CoCrMo meta-biomaterial structure that facilitates personalised stiffness-matching while also exhibiting near-zero auxeticity. Using laser powder bed fusion, porous architecture was characterised, showing potential Poisson's ratio. study introduces novel surrogate model can predict porosity (φ), yield strength (σy), elastic modulus (E), and negative ratio (−υ) meta-biomaterial, which achieved through prototype testing numerical modelling. then used to inform multi-criteria desirability objective, revealing an optimum −υ −0.037, with targeted stiffness 17.21 GPa. Parametric analysis showed it exhibited −υ, φ, σy E values ranging from −0.02 −0.08, 73.63–81.38%, 41–64 MPa, 9.46–20.6 GPa, respectively. In this study, developed purpose generating scenarios production bone scaffolds. By utilising model, possible achieve personalisation. breakthrough significant implications field tissue engineering could pave way improved patient outcomes. presented methodology is powerful tool biomaterials devices be 3D printed on demand load-bearing reconstruction. It facilitate creation highly tailored effective treatments various conditions injuries, ultimately enhancing

Language: Английский

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Ultra-thin electrospun nanocomposite scaffold of poly (3-hydroxybutyrate)-chitosan/magnetic mesoporous bioactive glasses for bone tissue engineering applications

International Journal of Biological Macromolecules, Journal Year: 2023, Volume and Issue: 254, P. 127860 - 127860

Published: Nov. 7, 2023

Language: Английский

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Optimization by mixture design of chitosan/multi-phase calcium phosphate/BMP-2 biomimetic scaffolds for bone tissue engineering

Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials, Journal Year: 2024, Volume and Issue: 152, P. 106423 - 106423

Published: Jan. 24, 2024

Language: Английский

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Mechanobiological modeling of viscoelasticity in soft tissue growth and morphogenesis

Journal of the Mechanics and Physics of Solids, Journal Year: 2025, Volume and Issue: unknown, P. 106032 - 106032

Published: Jan. 1, 2025

Language: Английский

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A review on fused deposition modeling (FDM)-based additive manufacturing (AM) methods, materials and applications for flexible fabric structures

Journal of Industrial Textiles, Journal Year: 2024, Volume and Issue: 54

Published: Jan. 1, 2024

Fused Deposition Modeling (FDM) is an extrusion type additive manufacturing (AM) method in which a molten polymer selectively extruded layer-by-layer manner. Although there are several other AM techniques, FDM suitable to produce fabric structures as it capable of processing polymers and widely used various engineering applications. This article summarizes the current research works characterization parts, advancements materials latest related making samples using FDM. The results show that mechanical properties surface quality compromised parts. Strength flexibility with better finishing essential parameters structures. There mainly two techniques explored by researchers enhance first optimizing process second improving material quality. like temperature, layer height, print speed built orientation can significantly influence Optimizing these strength produced. Moreover, great amount impetus given improve reinforcing blends specific qualities. has been studies development deposition on fabrics It concluded major concern such processability. To address issues, developing new filaments for exclusively be future work this area.

Language: Английский

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Investigation of the Effects of 3D Printing Parameters on the Mechanical Properties of Bone Scaffolds: Experimental Study Integrated with Artificial Neural Networks

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 315 - 315

Published: March 19, 2025

Scaffolds are critical in regenerative medicine, particularly bone tissue engineering, where they mimic the extracellular matrix to support regeneration. Scaffold efficacy depends on precise control of 3D printing parameters, which determine geometric and mechanical properties, including Young’s modulus. This study examines impact nozzle temperature, speed, feed rate modulus polylactic acid (PLA) scaffolds. Using a Prusa MINI+ printer (Prusa Research a.s., Prague, Czech Republic), systematic experiments conducted explore these correlations. Results show that higher temperatures decrease due reduced viscosity weaker interlayer bonding, likely caused by thermal degradation crystallinity. Printing speed exhibits an optimal range, with peaking at moderate speeds (around 2100 mm/min), suggesting balance enhances crystallinity bonding. Material positively correlates modulus, increased material deposition improving scaffold density strength. The integration Artificial Neural Network (ANN) model further optimized successfully predicting maximum while maintaining constraints. Notably, achieved falls within typical range for cancellous bone, indicating model’s potential meet specific clinical requirements. These findings offer valuable insights designing patient-specific scaffolds, potentially outcomes repair.

Language: Английский

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