Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms

This study developed a framework for the shape optimization of aerodynamics profiles using computational fluid dynamics (CFD) and genetic algorithms. Agenetic algorithm code and a commercial CFD code were integrated to develop a CFD shape optimization tool. The results obtained demonstrated the effectiveness of the developed tool. The shape optimization of airfoils was studied using different strategies to demonstrate the capacity of this tool with different GA parameter combinations.

Estudio de la precisión de varios modelos de turbulencia en la aplicación a perfiles aerodinámicos

[ES]El objetivo principal de este proyecto se centra en modelizar correctamente la capa límite sobre el perfil alar donde se produce la transición del régimen laminar al régimen transitorio. Como objetivo secundario se encuentra el afianzamiento de las bases teóricas de mecánica de fluidos obtenidas en la escuela y la adquisición de más conocimientos relacionados con la aerodinámica, concretamente con la capa límite. En una primera parte se tratarán los conceptos generales de los perfiles alares y se hará una breve introducción a los distintos tipos de mallado existentes. También se explicará el concepto de capa límite y todo lo relacionado con ella. A continuación, se establecerán los criterios de selección del modelo de turbulencia más adecuado y se mostrarán los resultados obtenidos de los distintos tipos de modelos de turbulencia anteriormente mencionados. Una vez seleccionado un modelo de turbulencia se profundizará en su estudio, aplicándolo a varios perfiles NACA. Se analizarán los resultados obtenidos y los errores y se buscarán posibles soluciones. Finalmente, se procederá a sacar las conclusiones del modelo escogido y se comparará con una serie de ensayos experimentales con objeto de poder validarlo.

Spin-helical Dirac states in graphene induced by polar-substrate surfaces with giant spin-orbit interaction: a new platform for spintronics

Spintronics, or spin electronics, is aimed at efficient control and manipulation of spin degrees of freedom in electron systems. To comply with demands of nowaday spintronics, the studies of electron systems hosting giant spin-orbit-split electron states have become one of the most important problems providing us with a basis for desirable spintronics devices. In construction of such devices, it is also tempting to involve graphene, which has attracted great attention because of its unique and remarkable electronic properties and was recognized as a viable replacement for silicon in electronics. In this case, a challenging goal is to lift spin degeneracy of graphene Dirac states. Here, we propose a novel pathway to achieve this goal by means of coupling of graphene and polar-substrate surface states with giant Rashba-type spin-splitting. We theoretically demonstrate it by constructing the graphene@BiTeCl system, which appears to possess spin-helical graphene Dirac states caused by the strong interaction of Dirac and Rashba electrons. We anticipate that our findings will stimulate rapid growth in theoretical and experimental investigations of graphene Dirac states with real spin-momentum locking, which can revolutionize the graphene spintronics and become a reliable base for prospective spintronics applications.