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.
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- Dimensional analysis for tuning Selective Laser Melting parameters for near-full density of Inconel 718(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06) Estrada Díaz, Jorge Alfredo; ELIAS ZUÑIGA, ALEX; 19150; Elías Zúñiga, Alex; ilquio, emipsanchez; Martínez Romero, Oscar; Olvera Trejo, Daniel; School of Engineering and Sciences; Campus Monterrey; Rodríguez Salinas, Juan JoséSelective laser melting is a powder bed fusion process that allows the production of metallic pieces of high geometrical complexity. Full densification is regarded as fundamental to achieve mechanical integrity. Nevertheless, doing so for a new material requires an intensive, in time and resources, experimentation stage in order to set proper manufacturing parameters. In this work, dimensional analysis is used to develop a general mathematical model on bulk density of SLMed components taking volumetric energy density, scanning speed and powder’s thermal conductivity, specific heat capacity and average grain diameter as independent variables. Strong relation between dependent and independent dimensionless products was observed. Bulk density is found to be proportional to volumetric energy density and be affected by scanning speed by a factor of negative two. Inconel 718 probes were produced and a particular expression, in the form of a first order polynomial, for its bulk density,in the independent dimensionless product π1 range from 3.17x10−8 to 4.6 x10−8 was obtained. In this range, better densification is achieved at lower scanning speed and lower laser power. The first is related to higher exposure time and ensuring full melt of the powder, and the second may be due to powder particle sublimation / ejection due to improperly large laser power conditions. An average relative density of 95.218% was measured. An average error percentage of 1.6503% between experimental and predicted bulk density (and dimensionless density) was achieved. A mathematical tool for tuning scanning speed to achieve full densification, with respect to laser power, was developed. Moreover, particular conditions for achieving so for Inconel 718 in the π1 range was provided.
- Environmental impact of conventional manufacturing and additive manufacturing in lifecycle of turbine blade(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-16) Torres Carrillo, Sharon Andrea; Rodríguez González, Ciro Ángel; Siller Carrillo, Héctor Rafael; Vila Pastor, Carlos; Vega, YadiraThe exponential growth of additive manufacturing technologies is not only improving production processes to achieve functional requirements for products, but it could also help to minimize environmental impacts. In order to align a green product lifecycle management vision, companies need to implement emerging technologies and define a set of metrics that measure the benefits of the change. Each product requires a particular and optimized manufacturing process plan, and each production phase must achieve a significant reduction of critical metrics for the whole Life Cycle Assessment (LCA). This study provides a comprehensive and comparative LCA of two manufacturing process plans for the case study of an aircraft engine turbine blade. The first process consists of a combination of Investment Casting and Precision Machining and the second consists in the replacement of Investment casting by Selective Laser Melting as an emergent process for near net shape fabrication. The collected data for the comparison includes Global Warming Potential (GWP), Acidification Potential (AP), Ozone layer Depletion Potential (ODP), Human Toxicity Potential (HTP), Ecotoxicity and Abiotic Depletion Potential (ADP).
- Towards a Selective Laser Melting Process Parameters Optimization Approach using Regression Algorithms for Inconel 718 Manufactured Parts(Instituto Tecnológico y de Estudios Superiores de Monterrey) Arias López, José Alejandro; Romero Díaz, David Carlos; Rodríguez González, Ciro A.; Vázquez Lepe, Elisa V.; Escuela de Ingeniería y Ciencias; Escuela de Ingeniería y Ciencias; Campus Monterrey; Ruiz Huerta, LeopoldoIn recent decades, Additive Manufacturing (AM) technologies have received increasing interest from both academia and industry. Thanks to an unprecedented opportunity to create designs and products difficult to create through conventional manufacturing processes, such as those from subtractive manufacturing, the understanding of these processes have become imperative for the creation of reliable products. Different processes may produce parts from different materials, and from the many processes available, Powder Bed Fusion (PBF) stands out for its capacity to produce high-quality products with metallic alloys. From these metallic alloys, nickel-based superalloys are of particular interest for the aerospace and defence industry, because it possesses excellent mechanical properties during high-performance applications, such as those found in turbines, where high stresses and high temperatures bring design and engineering to its limits. Novel crystallographic structures, process complexity, and mechanical defects are but a few of the challenges AM technologies face to produce consistent and reliable parts. Selective Laser Melting (SLM), a subprocess of PBF, has been found to produce defects such as porosities and rough surfaces on additively manufactured parts, which have been found to hinder the fatigue life of as-built products. This research attempts to understand the relationships between variables involved in the SLM process and the formation of these defects. To achieve this, a literature review is realized to create a causal-loop that helps to understand the impact and correlation between the variables involved in the process, and their effect on the mechanical properties of the part. A compilation of governing equations, boundary conditions, and loads was also reviewed to allow the simulation of the SLM process on a Finite Element (FE) environment. Finally, regression analysis is made to determine the significance of the impact the process parameters and temperature gradients determined through the FE Analysis have over the mechanical defects. Recommendations based on this analysis for optimal process parameters values are given. Further research is required to analyse the impact of process parameters on the formation of residual stresses and crack formation.
- Fatigue properties of metallic additively manufactured samples(Instituto Tecnológico y de Estudios Superiores de Monterrey) Villarreal Arizpe, Gerardo; Ciro Ángel, Rodríguez González; Jiménes Martínez, Moisés; Campus Monterrey; Cuan Urquizo, EnriqueThe present research was focused in the comparison between four designs of metallic additive manufactured samples with different stress concentrator on each design. The approach was to manufacture a batch of samples from each design and compare the fatigue performance (SN Curve). In this work, the batches of samples were manufactured of 316L stainless steel alloy and the four designs of samples were tested, one design consists in a solid bar and the other three designs were developed with a hole as a stress concentrator in the middle of the bar, the diameter of the holes varies through the three different designs. The advantage of using 3D printing is that this process is easier to manufacture and use than the traditional manufacturing, especially for complex structures, that is why it has become in one of the main alternatives to manufacture industrial parts with the use of high performance metals and polymers. To evaluate the aforementioned performance, in terms of manufacturability a geometry validation of each design has been done. The design of experiments was proposed to present the detail of the characterization of the experiments based on an infrared thermography. The temperature patterns of the hot spot zone are tightly linked with the physical evolution of the fatigue damage. To achieve the objective of the research and obtain an accurate Stress vs Number of cycles to failure (SN curve), an statistical analysis of each measurable variable was made, this to observe the performance of the samples from each design. The remarkable results obtained, were used to provide a viable guidelines to select a manufacturing process oriented to present solid recommendations in order to contribute for future works an affordable additive manufacturing process to utilize in industrial parts, this based in the performance of the specimens.