Repository logo
Communities & Collections
All of DSpace
  • English
  • Español
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Abate Zepeda, Javier Ignacio"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    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, Martín
    The 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.

UNIVERSIDAD

  • Nuestra Historia
  • Federico Santa María
  • Definiciones Estratégicas
  • Modelo Educativo
  • Organización
  • Información Estadística USM

CAMPUS Y SEDES

  • Información Campus y Sedes
  • Tour Virtual
  • Icono Seguridad Política de Privacidad

EXTENSIÓN Y CULTURA

  • Dirección de Comunicaciones Estratégicas y Extensión Cultural
  • Dirección General de Vinculación con el Medio
  • Dirección de Asuntos Internacionales
  • Alumni
  • Noticias
  • Eventos
  • Radio USM
  • Cultura USM

SERVICIOS

  • Aula USM
  • Biblioteca USM
  • Portal de Autoservicio Institucional
  • Dirección de Tecnologías de la Información
  • Portal de Reportes UDAI
  • Sistema de Información de Gestión Académica
  • Sistema Integrado de Información Argos ERP
  • Sistema de Remuneraciones Históricas
  • Directorio USM
  • Trabaja con nosotros
Acreditación USM
usm.cl
Logo Acceso
Logo Consejo de Rectores
Logo G9
Logo AUR
Logo CRUV
Logo REUNA
Logo Universia

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback