FRRQ - Producción de Investigación
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Item Herramientas de diseño asistido por computadora y tecnologías de fabricación digital, para el desarrollo de recursos didácticos en el ámbito de la Facultad Regional Reconquista(2023-08-07) Maggi, Norberto Claudio; Fabbro, Alejandro Antonio; Suligoy, Juan Pablo; Cabás, Franco; Vitti, Javier Oscar; Aguilar, Rubén Daniel; Zorzón, Brian Joel; Martínez, Bruno; Cantero, HugoEs imperiosa la necesidad de innovar en el ámbito de la formación de alumnos en carreras de ingeniería. Romper el paradigma de clases en pizarra y/o proyecciones bidimensionales es lo fundamental que se busca con este proyecto. Lograr una comprensión más clara de sistemas y conceptos por parte del alumno será algo que este proyecto generará de forma natural en múltiples espacios académicos de enseñanza, tanto en cátedras del área de materias básicas como de materias de especialidades de cada carrera, siempre y cuando las temáticas desarrolladas así lo permitan. Objetivos generales: Mejorar el proceso de enseñanza-aprendizaje mediante implementación de recursos didácticos 3D en los espacios de formación. Brindar herramientas que faciliten el desarrollo de explicaciones del docente frente a los alumnos, sobre todo en conceptos o sistemas que son difíciles de explicar con esquemas bidimensionales. Mejorar la comprensión de conceptos por parte de los alumnos, al poder observar esquematizaciones didácticas funcionales materializadas tridimensionalmente.Item Implicancia de las actividades de laboratorio en la formación de ingenieros electromecánicos(2025-06-30) Casella, Aldo; Crudeli, Rossana; Mendoza, Sandra Marina; Suligoy, Juan Pablo; Colman, Gabriel Porfirio; Sánchez, María Belén; Ardiles, Soledad; Leschiutta, Germán; Folla, Alejandro; Maggi, Norberto Claudio; Senn Villoria, LauraOBJETIVOS DE LA INVESTIGACIÓN: a) Objetivo general: • Describir que competencias y habilidades se propician y favorecen a partir de la realización de actividades de laboratorio en la carrera de ingeniería electromecánica. b) Objetivos específicos: • Identificar que competencias del perfil profesional del futuro ingeniero electromecánico se ponen en juego durante la realización de actividades de laboratorio. • Determinar cuáles son los elementos disparadores para que los docentes de los diferentes espacios curriculares planifiquen actividades de laboratorio. • Describir cómo es el proceso de interrelación entre los catedráticos, los jefes de departamento y los responsables de laboratorio. • Caracterizar puntos de coincidencia y de discrepancia dentro del proceso de interrelación, a los efectos de estandarizarlos. • Indagar sobre las experiencias estudiantiles durante la realización de prácticas de laboratorio, en pos de generar puentes entre las experiencias áulicas y las salidas de campo.Item Evaluación de distintos tratamientos térmicos en materiales para implantes óseos(2015-12-31) Mendoza, Sandra; Serra, Juan Carlos; Bernasconi, Guillermo; Negreira Platini, Alejandro; Bergesio, Álbaro; Lagrutta, Juan ManuelEl objetivo general de este proyecto es lograr la formación de un equipo de trabajo multidisciplinario para sentar las bases de una línea de investigación avocada a estudiar materiales aplicados a prótesis implantables. Se pretende dar inicio a una actividad no convencional en la ciudad y la zona para tratar de aportar mejoras a la disponibilidad de materiales para usos en prótesis. Aplicar los conocimientos metalúrgicos y técnicos sobre aceros y aleaciones especiales para tratar de lograr mejoras a materiales convencionales o no convencionales que contengan un equilibrio entre resistencias mecánicas, resistencia a la corrosión y biocompatibilidad.Item Caracterización de residuos de la producción algodonera para la generación de energía(2017-12-31) Mendoza, Sandra; Crudeli, Rossana; Morzán, Aníbal; Ruiz, DavidObjetivos de la investigación: • Caracterizar residuos provenientes de la producción algodonera primaria por métodos físico-químicos, para conocer parámetros tales como: contenido de materia orgánica, sólidos totales, sólidos volátiles, contenido de carbono y nitrógeno (relación C/N), entre otros. • Identificar las condiciones de trabajo para lograr la digestión anaeróbica de dichos residuos, con vistas a ser utilizados en la producción de biogás: necesidad de tratamientos previos, acondicionamiento de pH, concentración de sólidos, etc. • Determinar el poder calorífico del residuo, compactado en forma de briquetas, dato necesario para contribuir a optimizar su aprovechamiento energético cuando el material es quemado en calderas. • Comparar ventajas y desventajas al utilizar el residuo para la producir biogás o como combustible de calderas.Item The influence of mass on dynamic response of cracked Timoshenko beam with restrained end conditions: the truncated theory(MDPI - Publisher of Open Access Journals, 2025-02-07) De Rosa, María Anna; Ceraldi, Carla; Martín, Héctor Daniel; Onorato, Antonella; Piovan, Marcelo Tulio; Lippiello, Marían this paper, the dynamic response of the Timoshenko cracked beam subjected to a mass is investigated. In turn, it is assumed that the beam has its ends restrained with both transverse and rotational elastic springs. Based on an alternative beam theory, truncated Timoshenko theory (TTT), the governing equations of motion of the cracked beam are derived and the influence of a mass on the behavior of free vibrations is investigated. The novelty of the proposed approach lies in the fact that the variational method used in the truncated theory simplifies the derivation of the equation of motion via the classical theory, and the perfect analogy between the two theories is shown. The objective of the present formulation lies in finding the equations of the truncated Timoshenko model with their corresponding boundary conditions and establishing their mathematical similarity with the geometric approach. It is shown that the differential equations with their corresponding boundary conditions, used to solve the dynamic problem of Timoshenko truncated beams through variational formulations, have the same form as those obtained through the direct method. Finally, some numerical examples are carried out to evaluate the influence of a mass and its position on the vibration performances of the cracked Timoshenko model. Additionally, the effects of the crack positions, the shear deformation and rotational inertia, and the yielding constraints on the natural frequencies are also discussed in some numerical examples.Item State-space modelling of a commercial lithium-ion battery(IEEE Xplore, 2021-12-24) Alarcón, Rodrigo Germán; Alarcón, Martín Alejandro; González, Alejandro H.; Ferramosca, AntonioIn this paper, a continuous and discrete-time dynamical model of a commercial lithium-ion battery is proposed. It is modelled through an electrical equivalent circuit, applying the method of parameter extraction in the time domain to determine its values. As parameters vary according to the state of charge of the battery, a procedure for parametric identification based on the least-squares method is presented, using the Simulink ® Design Optimization™.Item Economic model predictive control for energy management in a hybrid storage microgrid(IEEE Xplore, 2021-12-24) Alarcón, Martín Alejandro; Alarcón, Rodrigo Germán; González, Alejandro H.; Ferramosca, AntonioThis paper proposes a Model Predictive Control (MPC) strategy for energy resources management in a microgrid. A state-space discrete-time linear model is presented, characterized by an hybrid storage system, consisting of lithium ion battery banks and ultracapacitors. The renewable resource is composed by an array of solar panels and the microgrid is considered to be connected to the main electricity grid, having the possibility to interact with it, under certain restrictions. Simulation results are presented under different generation and consumption scenarios.Item Economic model predictive control for energy management of a microgrid connected to the main electrical grid(ScienceDirect, 2022-09) Alarcón, Martín Alejandro; Alarcón, Rodrigo Germán; González, Alejandro H.; Ferramosca, AntonioElectric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.Item Approximating the solution of an economic MPC using artificial neural networks(IEEE Xplore, 2024-05-21) Alarcón, Rodrigo Germán; Alarcón, Martín Alejandro; González, Alejandro H.; Ferramosca, AntonioAbstract: Economic model predictive control is a recognized advanced control strategy which calculates control actions by solving an optimization problem in real time. The issue of numerical computation is the main barrier to implementing this type of controller. Deep learning has emerged as a promising solution to reduce the computational cost. This paper proposes a deep learning approximation of an Economic MPC, particularly with artificial neural networks, of the control strategy for managing energy resources in a residential microgrid. Operational data were generated from the solution established by the controller to train, validate and test the neural network using Matlab. Simulation results showed that the proposed approach can approximate the control strategy correctly.Item A scenario-based economic-stochastic model predictive control for the management of microgrids(ScienceDirect, 2023-12) Alarcón, Martín Alejandro; Alarcón, Rodrigo Germán; González, Alejandro H.; Ferramosca, AntonioAbstract The world’s electricity generation is heavily dependent on the consumption of fossil fuels. Electric generation from renewable resources is necessary due to the imperative need to reduce greenhouse gases to avoid a climate crisis. These resources exhibit random and intermittent behaviour. Therefore, there is a need to develop new management and control tools for these insertions into the current electricity system. Microgrids have become an effective tool to solve this problem, where these control systems play a principal role. For this reason, an optimal control structure consisting of two Model Predictive Control strategies is proposed for a microgrid Energy Management System. The first controller aims to optimise the microgrid’s economic performance under an established criterion, using nominal forecasts of the disturbances on the system, such as the energy generated by renewable resources. The second is a stochastic approach using scenario-based methods to consider forecast errors in the nominal predictions used for the disturbances. The simulations were carried out on a microgrid model corresponding to the National Technological University, Reconquista Regional Faculty, highlighting that actual samples of energy consumption are available. It is worth noting that with the proposed structure, optimal solutions are obtained considering the random behaviour of the disturbances, without making assumptions about the distribution functions of the random variables. Moreover, it applies to different scales of microgrids.