Browsing by Tema "3D printing"

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681 - Direct printing aligners in the every day clínical practice: new challenge ?
(Elsevier BV, 2025) Cristóbal García; C. M. Robles Gajardo
Development of Biocompatible Implants Using 3D Printing Technology for Anterior Cervical Fusion
(Springer International Publishing, 2025) Eduardo Tenorio-Monzalvo; Juan Alfonso Beltrán-Fernández; Erik Francisco Rodríguez-Piñón; Héctor Sánchez de la Vega-Covarrubias; Elías Humberto Hermida-Ochoa; Pamela López-Miranda; Andrea Hernández-Benitez; Julieta Aimee Zilli-González
Experimental study of the effects of bio-inspired blades and 3D printing on the performance of a small propeller
(2018) Christoph Hintz; Pouria Khanbolouki; Andres M. Pérez Gordillo; Mehran Tehrani; Svetlana Poroseva
Intelligent 3D Printing Algorithms: Accelerating Additive Manufacturing with Precision and Defect-Free Fabrication
(2025) M. Kathiravan; Kishore Kunal; Vairavel Madeshwaren; P. Lavanya; V. Ganesan; Sheifali Gupta
Additive Manufacturing (AM) has transformed modern production by enabling the fabrication of complex geometries with enhanced material ‎efficiency. However, traditional 3D printing techniques often face challenges such as incomplete fusion, material inconsistencies, and thermal ‎warping, which affect overall quality and productivity. This study introduces an intelligent 3D printing framework that integrates Artificial ‎Intelligence (AI) to enable real-time monitoring, defect detection, and adaptive process control, thereby addressing these limitations. The ‎proposed system utilizes Convolutional Neural Networks (CNNs) for computer vision-based quality inspection, enabling the detection of ‎structural anomalies during the printing process. Reinforcement Learning (RL) is employed for dynamic adjustment of parameters like nozzle ‎temperature, deposition speed, and material feed rate in response to real-time feedback, significantly reducing defect occurrence. Adaptive ‎machine learning algorithms like Random Forests and Gradient Boosting also facilitate process optimization and predictive maintenance. ‎Stereolithography (SLA), Selective Laser Sintering (SLS) and Fused Deposition Modeling (FDM) are among the AM platforms that use this AI-‎AI-enhanced closed-loop control approach. Material use, energy efficiency, production time, print quality and defect mitigation have all significantly ‎improved, as confirmed by experimental validation. With its ability to guarantee accuracy and dependability in contemporary 3D printing ‎processes, the framework shows great promise for developing industrial and biomedical applications‎.
Mathematical and Pharmacokinetic Approaches for the Design of New 3D Printing Inks Using Ricobendazole.
(2022) Barberis, María Eugenia; Palma, Santiago Daniel; Gonzo, Elio Emilio; Bermúdez, José María; Lorier, Marianela; Ibarra, Manuel; Real, Juan Pablo
PURPOSE: 3D printing (3DP) makes it possible to obtain systems that are not achievable with current conventional methods, one of them, sustained release floating systems. Floating systems using ricobendazole (RBZ) as a model drug and a combination of polymers were designed and obtained by melt solidification printing technique (MESO-PP). METHODS: Four different MESO-PP inks were formulated based on combinations of the polymers Gelucire 43/01 and Gelucire 50/13 in different ratios. For each of the formulated inks, physicochemical characterization was performed by thermal analysis (thermogravimetric analysis [TGA] and differential scanning calorimetry [DSC]), fourier transform infrared spectrophotometer (FTIR) and X-ray diffraction (XRD). Pharmaceutical characterization was performed by in vitro assays to determine pharmaceutically relevant parameters. These parameters were calculated by applying mathematical models developed to evaluate in vitro drug release profiles. On the other hand, a physiologically based pharmacokinetic (PBPK) model was developed to predict the in vivo performance of RBZ loaded in the different inks by determining the Cmax, and the AUC0-∞. RESULTS: By increasing the proportion of Gelucire 50/13 co-surfactant in the mixtures (the proportion in Ink 1 was 33%, while the proportion in Ink 4 was 80%), the dissolution capacity of RBZ increases substantially, decreasing flotation times. CONCLUSION: MESO-PP produced ink 1 (50% Gelucire 43/01, 25% Gelucire 50/13 and 25% RBZ), which has a zero-order release (RR = 0.180%/min) and the longest flotation time (545 ± 23 min), and in turn would produce a significant increase in oral absorption of the drug, with an AUC0-∞ 2.16-fold higher than that obtained in animals treated with RBZ loaded in conventional tablets.
Modeling and evaluation of ivermectin release kinetics from 3D-printed tablets.
(2024) Briones Nieva, Cintia Alejandra; Real, Juan Pablo; Campos, Santiago Nicolás; Romero, Analía Irma; Villegas, Mercedes; Gonzo, Elio Emilio; Bermúdez, José María; Palma, Santiago Daniel; Cid, Alicia Graciela
Aim: This study focused on evaluating the influence of geometric dimensions on the drug release kinetics of 3D-printed tablets.Materials & methods: An ink based on Gelucire 50/13 was prepared to print ivermectin-loaded tablets. The ink was characterized physicochemically and tablet dissolution tests were carried out.Results: The results confirmed the suitability of the ink for 3D printing at a temperature >46°C. Changes in the crystallinity of ivermectin were observed without chemical interactions with the polymer. 3D printed tablets with varied proportional sizes showed dual behavior in their release profiles, while tablets with only thickness reduction exhibited zero-order kinetics.Conclusion: These findings highlight the versatility of 3D printing to create systems with specific and customized release profiles.