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Algorithmic linearization improves Syringe-based extrusion in elastic systems using Hydrogel-based materials
Jernej Vajda, Luka Banović, Mihael Miško, Igor Drstvenšek, Marko Milojević, Uroš Maver, Boštjan Vihar, 2023, izvirni znanstveni članek

Opis: Accuracy and precision are essential in extrusion-based material handling such as three-dimensional (3D) bioprinting. However, the elasticity of components, backlash, variability of nozzle and cartridge shapes, etc. can lead to unpredictable printing results, which is further complicated by the wide range of rheologically diverse materials and complex sample designs. To address this issue, we present an algorithmic approach to compensate for the discrepancies between piston motion and material extrusion in syringe-based extrusion systems. This approach relies on cyclical, iterative optimization through rapid piston movements, which are adjusted based on extrusion analysis. In this work we establish a general theoretical framework for extrusion and link the rheological properties of prepared hydrogels with shear rates in a typical bioprinting process. The determined properties are compared with the success of the developed algorithm to modify machine instructions for precise material deposition of short, interrupted lines, as well as multi-layered scaffold structures. Overall, our approach provides a means of improving the accuracy and precision of complex extrusion-based bioprinting systems, without prior knowledge of set-up or material properties, making it highly versatile and suitable for a wide range of applications, particularly when the combined set-up and material properties are too complex for solely predictive approaches.
Ključne besede: 3D bioprinting, syringe extrusion, optimization, algorithm
Objavljeno v DKUM: 21.04.2023; Ogledov: 552; Prenosov: 86
.pdf Celotno besedilo (3,38 MB)
Gradivo ima več datotek! Več...

Development and validation of open source CTD sensor : magistrsko delo
Tadej Plej, 2022, magistrsko delo

Opis: The CTD sensor captures measurements of conductivity, temperature and depth of the oceans. Scientists lack this data to discover unexplored areas of the oceans, as measuring systems and maintaining them are very expensive. The aim of this master's thesis is to produce a open source CTD sensor that will be cost-effective, accurate enough to make the data credible and attachable to a sea turtle. Through the thesis we learned about the theoretical background of processes in the oceans, reviewed the measurement methods for measuring conductivity, temperature and pressure. We made a circuit for measuring conductivity and measuring electrodes from graphite DC motor brushes. We validated all the sensors and finally assembled them into the first prototype of a CTD sensor.
Ključne besede: CTD, conductivity, temperature, depth, open source project
Objavljeno v DKUM: 17.06.2022; Ogledov: 749; Prenosov: 65
.pdf Celotno besedilo (3,04 MB)

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