Optimization of High-Load LP Turbine Blade using Genetic Algorithm
Details
In this work, we made an attempt to optimize the blade profile in a high-load LP turbine. Multi-Objective Genetic Algorithm (MOGA) was used as the optimization technique. For the two target functions, we employed the total pressure loss and the weight of the LP turbine. These target functions were evaluated from the 2D calculations, which were performed using commercial software, CFX5. In the calculations, the computational grid was generated automatically from the blade profile using the bezier curves.
