Artículos

URI permanente para esta colección

https://hdl.handle.net/10784/28232

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Examinando Artículos por Autor "Acosta Maya, Diego Andres"

Mostrando 1 - 3 de 3
  • No hay miniatura disponible
    Ítem
    Collaborative design model review in the AEC industry
    (Springer-Verlag France, 2016-01-01) Carcamo, Juan Gonzalo; Trefftz Gomez, Helmuth; Acosta Maya, Diego Andres; Botero- B, Luis-F; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
    The end result of this research is an application created using freely available tools applied to a case scenarioto perform review meetings by different specialists in real time.
  • No hay miniatura disponible
    Ítem
    Conceptual design of a Langmuir probe for cold plasma characterization employing statistical design of experiments
    (IMPRENTA UNIV ANTIOQUIA, 2013-06-01) Camargo Suarez, Victor Hugo; Acosta Maya, Diego Andres; Jaramillo O, Juan Manuel; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
    The characterization and control of plasma-assisted processes, has become increasingly urgent to adapt this kind technology to industrial contexts. This work presents the design and construction of a cold plasma characterization system by electrostatic means (Langmuir probe), based on concepts of plasma physics and tools of engineering, design of experiments and conceptual design. The result of this work is a functional prototype probe and some measurements on the reactor.
  • No hay miniatura disponible
    Ítem
    NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
    (Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
    Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve control systems in dynamic processes with response times of the order of milliseconds. A clear example of this, is the implementation of optimal controller’s combustion engines. For subsequent approach to the design and implementation of nonlinear model predictive control controllers, it has made a comparison of yields algorithms quadratic programming by active set with linearization restrictions, and sequential quadratic programming with single shooting technique to solve quadratic optimization problem formulation referred to a dynamic internal combustion engine of spark ignition, in embedded systems with real-time processing. © 2016, Springer-Verlag France.