Depósito Campus Casa Central Valparaíso
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Browsing Depósito Campus Casa Central Valparaíso by Author "Abate Zepeda, Javier Ignacio"
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Thesis Estimación de la eficiencia de deposición en depósitos bimetálicos con Cold Spray(Universidad Técnica Federico Santa María, 2025-11) Abate Zepeda, Javier Ignacio; Tello Araya, Karem Eva; Departamento de Ingeniería Mecánica; Cisternas Fernández, MartínThe Cold Spray (CS) process is a promising solid-state deposition technology that enables the deposition of various materials, both metallic and non-metallic powders, without causing their melting because of its low working emperature. This characteristic makes CS particularly useful for applications where preserving the material’s properties is critical. This research focuses on developing a predictive model for the deposition e!ciency (DE) and composition of bimetallic coatings made from pure aluminum and pure iron powders. The model is built by integrating numerical simulations and experimental data, followed by experimental validation. Over time, several researchers have proposed di"erent DE predictive models for CS coatings. In this thesis, an enhanced DE predictive model has been developed, combining information obtained through Finite Element (FE) particle impact simulations and experimental tests, along with the powder probability distribution, which allows for a more accurate understanding of the coating formation. Di"erent simulation methods were explored to develop a precise representation of particle-substrate interactions. Additionally, experimental tests were conducted, including adhesion probability tests to determine the DE of the materials studied and to understand how they interact with each other, wipe tests to qualitatively validate the impact simulations, and thin layer tests to assess the model’s accuracy by measuring the coating’s composition across the thickness and thus validating the predictive model. The results from these tests provide valuable insights into the relationship between process parameters and coating performance, allowing for improved prediction of DE and composition in bimetallic CS coatings. This research aims to optimize CS parameters for bi-metallic deposits, enabling their use in various applications such as lightweight design, wear resistance enhancement, corrosion protection, and improved fatigue resistance through strategic material selection.
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