Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
Browse
Search Results
- Non-planar additive manufacturing for biomedical applications(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06-14) Castro Avilés, Alejandro; Cuan Urquizo, Enrique; emimmayorquin; Román Flores, Armando; Botello Arredondo, Adeodato Israel; Mecánica y materiales avanzados; Campus Monterrey; Jiménez Palomar, InésFused filament fabrication (FFF) stands out as a prominent technology in additive manufacturing (AM) due to its affordability and versatility in equipment and materials. Its suitability for research and development is evident. Recent advancements have led to the development of non-planar AM using FFF 3D printers, enabling the fabrication of curved structures with enhanced mechanical and aesthetic properties. This innovation has significantly reduced printing time and material waste while expanding the capabilities of FFF to print non-planar metamaterials. Notably, FFF finds practical application in the 3D printing of cranioplasty implants. This thesis investigates the utilization of non-planar AM for manufacturing such implants, focusing on dome-shaped structures for mechanical testing. Various topologies, including hexagonal, re-entrant, and squared honeycomb metamaterials, are explored for reinforcement. The study culminates in a comparative analysis between traditional planar cranioplasty implants and those manufactured with non-planar layers and lattice reinforcement, offering insights into their respective benefits and limitations.
- Mechanical characterization and design of square honeycombs with the aid of additive manufacturing and AI(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-05-07) Herrera Ramos, Gustavo; Cuan Urquizo, Enrique; emimmayorquin; Román Flores, Armando; Mora Córdova, Ángel; Escuela de Ingeniería y Ciencias; Campus Monterrey; Batres Prieto, RafaelMetamaterials offer a viable mean to attain targeted mechanical characteristics tailored to particular loading conditions. Aperiodic metamaterials provide higher tailorability of mechanical behavior by providing a customizable deformation mode, properties, and mechanical response. Artificial intelligence has enhanced metamaterial design by discerning correlations between parameters and mechanical characteristics. This work studies two types of gradation on square honeycombs: wall thickness and wall angle. The studied gradation characteristics were wall inclination, pattern distribution, and direction. Fifteen designs were proposed, each combining different gradation characteristics. The designs were additively manufactured with PLA on an FFF 3D printer and experimentally tested under compression. The effects of the gradation characteristics on the mechanical response, mechanical properties, and deformation mode were analyzed. The results confirmed the influence of gradation on the mechanical behavior of the structures. The gradation characteristics influence specific properties or responses, such as a 30% energy absorption difference between graded honeycombs with aligned and not aligned walls. The metamodel evolutionary optimizer (MEVO) algorithm was used to assist in the design of a tailored square honeycomb with an angle gradation to minimize the displacement of a designated point in the structure. The algorithm was tested on multiple nonconventional loading scenarios to prove its versatility.
- Architected cylinders: design, micro-mechanics, additive manufacturing, and sensing capabilities characterization(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-01-07) Betancourt Tovar, Mariajosé; Cuan Urquizo, Enrique; emipsanchez; Román Flores, Armando; Botello Arredondo, Adeodato Israel; Mecánica y Materiales Avanzados; Campus Monterrey; Ayala García, Ivo NeftaliArchitected matter could bring advantages that their fully solid counterparts cannot. Understanding their mechanics unveils critical elements impacting the overall structure deformation and monitoring these elements offers insights into structural behavior. This thesis encompasses the mechanical analysis of architected cylinders and how they could be used as sensing structures. Additionally, their potential in acquiring data from human grip strength is explored as a proof-of-concept. Hexagonal, re-entrant, and square rotated architected cylinders were parameterized in both rectangular and cylindrical cell arrangements. In the latter, the number of rotational degrees of symmetry was varied to evaluate their impact on the structures’ mechanical properties. After applying uniform pressure via computational simulations to the surfaces of the structures, it was found that the orientation of cell walls with respect to the applied load influenced their radial stiffness and deformation mechanism. Re-entrant models were the most flexible, while the square rotated ones were the stiffest. The deformation mechanism varied in re-entrant models when changing the rotational degrees of symmetry, which was attributed to the variation in length between concentric and non-concentric. The analysis of compression tests on 3D architected cylinders revealed that cylinders with a higher number of rotational degrees of symmetry, a rectangular cell arrangement, and a hexagonal topology exhibited stiffer behavior. Re-entrant models demonstrated auxetic behavior when one or more unit cells were aligned with the direction of the applied load. Concentric cell walls deformation was quantified using a curvature-based approach, comparing the area under the curvature function of a cell wall with the area of the undeformed cell wall. This ratio was compared to voltage signal of piezoresistive sensors that were inserted in the cell walls of architected cylinders. A relation was found between voltage and area under curvature ratios, suggesting sensor data reflects cell wall’s deformation. Two subjects tested the cylinders’ hand-gripping performance, yielding similar deformed shapes to those in the diametrical compression. This suggests that the curvature-based approach and sensors’ integration are methods that can contribute to the development of an architected de vice capable of obtaining hand-gripping information. Further work to achieve this objective may involve conducting mechanical characterization studies with varied orientations of cell arrangements relative to the applied load. Additionally, adjusting the dimensions of sensing cylindrical structures based on anthropometric percentile data could enhance conformity to the hand morphology of specific populations.
- Deformation control of sinusoidal lattice metamaterial for application in robotics(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-12-05) Mora Gutiérrez, Stephanie; Cuan Urquizo, Enrique; emipsanchez; Pérez Santiago, Rogelio; Román Flores, Armando; Escuela de Ingeniería y Ciencias; Campus MonterreyThis study presents a methodology for controlling deformation in a sinusoidal metamaterial using parametric design, FEM simulation, and 3D printing. The focus is on generating a design where the deformation of the metamaterial can be controlled and thus be able to apply it in a flexible gripper using a sinusoidal metamaterial as base material. The parametric design approach is employed to create a structure of the sinusoidal unit cell, and FEM simulation is used to evaluate its mechanical behavior and compare it with the Experimental testing. The sinusoidal metamaterial is then 3D printed using a flexible TPU filament. Experimental testing also demonstrates the gripper's adaptability and deformation control. The results validate the effectiveness of the design, showing the deformation control of the sinusoidal structure, also improved grip capacity and manipulation capabilities. This study has significant potential for applications in robotics. The combination of generative design, FEM simulation, and 3D printing enables the creation of customized and functional grippers that can adapt to various object shapes and sizes.