Browsing by Author "Irastorza, Ramiro"

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    Exact predictions from Edwards ensemble vs realistic simulations of tapped narrow two dimensional granular columns
    (Journal of Statistical Mechanics: Theory and Experiment, 2013) Irastorza, Ramiro; Carlevaro, Manuel; Pugnaloni, Luis
    We simulate, via a discrete element method, the tapping of a narrow column of disks under gravity. For frictionless disks, this system has a simple analytical expression for the density of states in the Edwards volume ensemble. We compare the predictions of the ensemble at constant compactivity against the results for the steady states obtained in the simulations. We show that the steady states cannot be properly described since the microstates sampled are not in correspondence with the predicted distributions, suggesting that the postulates of flat measure and ergodicity are, either or both, invalid for this simple realization of a static granular system. However, we show that certain qualitative features of the volume fluctuations which are difficult to predict from simple arguments are captured by the theory.
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    Módulo experimental para Spray Cooling
    (Universidad Tecnológica Nacional. Facultad Regional La Plata, 2024-12-13) Prado, Gerónimo; Merbold, Sebastian; Irastorza, Ramiro
    El presente trabajo aborda el desarrollo de un módulo experimental diseñado para validar los resultados obtenidos mediante simulaciones y métodos numéricos en el estudio de Spray Cooling propuesto como solución para refrigerar el sistema de propulsión de un avión eléctrico que usa celdas de combustible de hidrógeno. El módulo experimental permite replicar las condiciones de análisis establecidas, incorporando sistemas clave como: un sistema para transferir calor hacia una placa metálica en la cual se realizan los experimentos, un sistema de suministro de agua capaz de proporcionar la presión y el caudal necesarios, y el módulo experimental. El diseño y análisis se llevaron a cabo utilizando herramientas como ANSYS Thermal (2023), Siemens NX (2023), hojas de cálculo en Excel y Python para el postproceso de datos. Este enfoque integral permitió abordar desde varios puntos de vista las problemáticas que este proyecto presentaba. Gracias al análisis realizado, se determinaron las mejores alternativas de diseño para alcanzar una mayor eficiencia energética y desarrollar un sistema funcional que cumpla con los objetivos propuestos.
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    Self-assembly of self-propelled magnetic grains
    (2021) Madrid, Marcos A.; Irastorza, Ramiro; Meyra, Ariel G.; Carlevaro, Manuel
    In this work, we study bidisperse mixtures of self-propelled magnetic particles of di erent shapes via discrete element method simulations. We show how these particles self-assemble into clusters and how these clusters depend on the ratio of the mixture, the magnetic interaction, and the shape of the grains. It is found that the mix ratio of the system controls the cluster size. Besides, the intensity of the magnetic dipoles and the shape of the grains in the mixture rule the average number of neighbors in contact and the shape of the clusters. By varying the intensity of the interactions, globular, linear and branched clusters were obtained.