Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
TURBOCHARGER TURBINE DIFFUSER WALL SHAPE OPTIMISATION
Submission Author:
José Arthur Gonçalves da Silva Teixeira , Buscando endereço... , Brazil
Co-Authors:
José Arthur Gonçalves da Silva Teixeira, Bryan Castro Caetano, Matheus Ungaretti Borges, Jose Baeta, Ricardo Poley Martins Ferreira
Presenter: José Arthur Gonçalves da Silva Teixeira
doi://10.26678/ABCM.COBEM2019.COB2019-0673
Abstract
Supercharging has been increasingly more employed as an approach to improve the powertrain energy efficiency. The turbocharger stands out as a well-established technology which recovers wasted energy from exhaust gases to increase the engine intake pressure and mass flow rate. Therefore, the reduction of the pressure downstream the rotor can be a valid way to improve turbocharger performance, since it entails in a larger pressure drop across the turbine. Diffusers are devices that can be used to further reduce the rotor outlet pressure. Diffuser wall parametrisation can be achieved by using polynomial functions with enforced analytically derived constraints of monotonicity. The present study aimed to maximise the static pressure recovery of a polynomial parametrised radial turbine diffuser of an automotive turbocharger. A series of CFD analyses were carried out in order to obtain the pressure recovery coefficient of a straight and a set of parametrised diffusers. An optimal parametrised diffuser was determined using a genetic algorithm and sequential quadratic programming hybrid optimisation algorithm by maximising the pressure recovery coefficient. Finally, the flow lines and the pressure distribution of the straight and the optimal diffuser were described.
Keywords
turbocharger, Diffuser, CFD, genetic algorithm, sequential quadratic programming
