MULTI-OBJECTIVE AERODYNAMIC OPTIMIZATION OF AXIAL TURBINE BLADES USING A NOVEL MULTI-LEVEL GENETIC ALGORITHM


Oeksuz O., Akmandor I. S.

53rd ASME Turbo Expo 2008, Berlin, Almanya, 9 - 13 Haziran 2008, ss.2375-2388 identifier

  • Basıldığı Şehir: Berlin
  • Basıldığı Ülke: Almanya
  • Sayfa Sayıları: ss.2375-2388

Özet

In this paper, a new multiploid genetic optimization method handling surrogate models of the CID solutions is presented and applied for multi objective turbine blade aerodynamic optimization problem. A fast, efficient, robust, and automated design method is developed to aerodynamically optimize 3D gas turbine blades. The design objectives are selected as maximizing the adiabatic efficiency and torque so as to reduce the weight, size and cost of the gas turbine engine. A 3-Dimensional steady Reynolds Averaged Navier Stokes solver is coupled with an automated unstructured grid generation tool. The solver is verified using two well known test cases. Blade geometry is modeled by 36 design variables plus the number of blades variable in a row. Fine and coarse grid solutions are respected as high and low fidelity models, respectively. One of the test cases is selected as the baseline and is modified by the design process. It was found that the multiploid multi-objective genetic algorithm successfully accelerates the optimization, and prevents converging to local optimums.