Ciencias Exactas y Ciencias de la Salud

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Dual bio-printing system for cell deposition of hydrogels using a piston-based controlled nozzle
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022) Castillo Madrigal, Victor; Chairez Oria, Jorge Isaac; mtyahinojosa, emipsanchez; García González, Alejandro; Escuela de Ingeniería y Ciencias; Campus Guadalajara; Perfecto, Yocanxóchitl
In recent years, cell culture has increasingly utilized various 3D scaffolds and hydrogels to promote advanced additive manufacturing within cell culture. Additionally, various types of cell lines have been employed, with mesenchymal stem cells (MSCs) and fibroblasts being among the most commonly used. The aim of this project is to design an automated dual bioprinting system for cell culture. This system will deposit both hydrogels and cells sequentially, creating a foundation for biological tissue.Therefore, reducing the probability of cell culture contamination and decreasing human interaction. To achieve the goal, the project was first designed following specific criteria specifications. This was facilitated by previous cell culture training, which helped in better understanding the necessities of the project.After that, the next step involved simulating the device using CAD software (Solidworks) to create a 3D representation of the system's prototype. This prototype consists of three linear actuators (X-Y-Z axis) and two extruders for each deposited material.Then, the fully virtual device is exported to Matlab Simulink in order to simulate a control process with a PD controller in each actuator and extruder using a sine signal as a reference. Finally the crafting of the prototype was achieved operating tools from the metal crafting laboratory, and experimental processes were started. The study evaluated the feasibility of developing a 3D bioprinting machine. The experiment proved that it is possible to replicate the behavior from the simulated space into a real experiment, using a dual bioprinting system for depositing cells with controlled processes. The error from the control process was below 1% in the virtual enviroment meanwhile in reality the error mantain around 3%. As future work is still to validate the system performing biotic tests with a hydrogel made of alginate and as crosslinker calcium chloride. This system can be further applied in automatized cell culture system, bioprinting on no linear surfaces or even as part of a bioreactor system.
Convergence of Industry 4.0 and Regenerative Engineering to boost development of scaffolds created by hybrid additive manufacturing
(2017-12-05) Camargo Camrgo, Belinda; Rodríguez González, Ciro Ángel; Romero Díaz, David Carlos
Industry 4.0 and its underlying technologies, such as Internet of Things (IoT) and Cyber-Physical Systems (CPS), are usually portrayed as a way to enable communication in a workshop between the machinery and an intelligent control system, handle consumer demand for customized products, achieve a near-zero defect manufacturing process, and handle materials, energy consumption, and waste more efficiently, amongst others. Case studies on how the automotive, electronics, or aerospace industry benefit from Industry 4.0 implementation are readily available and surely, there are more to come. By contrast, scaffolds of Regenerative Engineering, are still in Research and Development and yet to be approved as a commercial regenerative procedure. A thorough analysis of the requirements was developed and the product manufacturing phases were modeled using Unified Modeling Language (UML). Business, structure, activity, class, and sequence diagrams, amongst others, are modeled using this standard and an ontology that converges Industry 4.0 technologies applied on Regenerative Engineering is established under the Ontology Web Language Description Logic (OWL-Dl). An architecture to augment a scaffold manufacturing cell with Industry 4.0 technologies is proposed. By using smart sensors, actuators, and the information they generate, a database with material and process variables is populated. This database can then be analyzed by smart algorithms to find the most effective parameters to manufacture a successful scaffold for tissue regeneration. Initial testing shows the feasibility of the proposed architecture and its ability to store relevant information of the produc

Ciencias Exactas y Ciencias de la Salud

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