In embedded 3D printing (EMB3D), a nozzle extrudes continuous filaments inside of a viscoelastic support bath. Compared to other extrusion processes, EMB3D enables softer structures and print paths that conform better to the shape of the part, allowing for complex structures such as tissues and organs. However, strategies for high-quality dimensional accuracy and mechanical properties remain undocumented in EMB3D. This work uses computational fluid dynamics simulations in OpenFOAM to probe the underlying physics behind two processes: deformation of the printed part due to nearby nozzle motion and fusion between neighboring filaments during printing. Through simulations, we disentangle yielding from viscous dissipation, and we isolate interfacial tension effects from rheology effects, which are difficult to separate in experiments. Critically, these simulations find that disturbance and fusion are controlled by the flow of support fluid around the nozzle. To avoid part deformation, the nozzle must remain far from existing parts during non-printing moves, moreso when traveling next to the part than above the part and especially when the interfacial tension between the ink and support is non-zero. Additionally, because support can become trapped between filaments at zero interfacial tension, the spacing between filaments must be tight enough to produce over-printing, or printing too much material for the designed space. In non-Newtonian fluids, spacings for vertical walls must be even tighter than spacings for horizontal planes. At these spacings, printing a new filament sometimes creates and sometimes mitigates shape defects in the old filament. While non-zero ink-support interfacial tensions produce better inter-filament fusion than zero interfacial tension, interfacial tension also produces shape defects. Slicing algorithms that consider these unique EMB3D defects are needed to improve mechanical properties and dimensional accuracy of bioprinted constructs.
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http://dx.doi.org/10.1088/1758-5090/ad8fd5 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Centre for Robotics and Automation, Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Liquid metals are highly conductive like metallic materials and have excellent deformability due to their liquid state, making them rather promising for flexible and stretchable wearable sensors. However, patterning liquid metals on soft substrates has been a challenge due to high surface tension. In this paper, a new method is proposed to overcome the difficulties in fabricating liquid-state strain sensors.
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View Article and Find Full Text PDFSci Rep
January 2025
Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran.
Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil - nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs.
View Article and Find Full Text PDFEur J Pharm Biopharm
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Unidad de Investigación y Desarrollo de Alimentos, Tecnológico Nacional de México/Instituto Tecnológico de Veracruz, M.A. de Quevedo 2779, Col. Formando Hogar, Veracruz, Ver 91897, Mexico. Electronic address:
Honokiol (HK) and Magnolol (MG), isomers found in Magnolia officinalis bark extract (MBE), possess bioactive properties attributed to their biphenolic structure. However, their low polarity results in poor oral absorption, limiting their bioavailability. To enhance their systemic absorption after passing through the digestive tract, efficient carrier systems are essential.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Centre for Surface Science, Physical Chemistry Section, Department of Chemistry, Jadavpur University, Kolkata 700032, India.
Interaction of a novel dihydroxy dibenzoazacrown (HDTC) with various surfactants of different charges, for example, anionic (sodium dodecylsulfate, SDS), cationic (dodecyl trimethylammonium bromide, DTAB), cationic gemini (butanediyl-1,4-bis(dimethylcetylammonium bromide), 16-4-16), ionic liquid (1-hexadecyl-3-methylimidazolium chloride, CMImCl), and nonionic (polyoxyethylene sorbitan monostearate, Tween-60), has been investigated at a widespread range of surfactant concentrations (including premicellar, micellar, and postmicellar regime) in 15% (v/v) EtOH medium at room temperature. Several experimental techniques, viz., tensiometry, UV-vis spectroscopy, and steady-state fluorimetry, are implemented to explicate these interactions.
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