Oportunidades de Investigación Públicas

18-07-2023 Sistema de refrigeración para baterías de litio
Realizar un análisis del estado actual de la refrigeración y control térmico baterías de litio. Proponer el tipo de sistema de refrigeración más adecuado mediante análisis termodinámico, costos y peso. Diseñar el sistema que será implementado en el DIMM experimentación. Buscar proveedores, cotizar, y generar una hoja de ruta para la implementación.
Keywords:       refrigeración auto eléctrico
Prerequisitos:  ICM2223

Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/3 vacantes disponibles

Mentor(es): Ver en la plataforma

Public Research Opportunities

18-07-2023
Keywords:       refrigeración auto eléctrico
Prerequisites:  ICM2223

Evaluation method: Nota 1-7, with 1/3 available vacants

Mentor(s): Open in the plataform
29-04-2018 Numerical study for a simplified field model for real time fire forecasting
While computational fluid dynamics (CFD) simulations of fire scenarios are used in the design of buildings, less attention has been given to the use of CFD simulations as an operational tool for the Fire Services. Firefighters face uncertain conditions when entering a building to attack a fire and have to make decisions based solely on their experience. They would greatly benefit from a technology based on predictive fire simulations to assist their decision-making process. One reason for the lack of attention received by predictive CFD fire simulations is the large time required to generate CFD simulations. One factor why they take such long times, in spite of the recent advances in hardware, is the fact that the physical models simulated capture increasingly fine-scale, highly-complex physical phenomena. In this project, we propose to compare models for CFD simulations of fire scenarios with different degrees of model complexity, to evaluate which physical phenomena are strictly necessary to capture the coarse-scale behavior of fire propagation in typical situations.
Prerequisites:  None.

Evaluation method: Nota 1-7, with 0/1 available vacants

Mentor(s): Open in the plataform