Aerostructural Optimization of a Transonic Compressor Rotor

Aerostructural Optimization of a Transonic Compressor Rotor

This paper presents a framework for multi-objective and multidisciplinary design optimization using highfidelity analysis tools. In this framework the aerodynamic performance is evaluated based on a Navier–Stokes equation solver, and the structure dynamics is computed using commercially available finite element software. We employ a genetic algorithm as a robust design optimization tool to faci...

Laser Anemometer Measurements in a Transonic Axial Flow Compressor Rotor

Multi-Objective Design Optimization of a Transonic Compressor Rotor Using an Adjoint Equation Method

This paper presents the application of a viscous adjoint method to the multi-objective design optimization of a transonic compressor rotor blade row. The adjoint method requires about twice the computation effort of flow calculation to obtain the complete gradient information for each cost function, regardless of the number of design parameters. NASA Rotor 67 is redesigned to maximize the total...

Multi-Objective Optimization of a Transonic Compressor Rotor by Using an Adjoint Method

TO IMPROVE the aerodynamic performance and the economic benefits of an aircraft engine, one strives to increase the total pressure ratio, the adiabatic efficiency et al., and decrease the size and weight of the engine. Multi-objective optimization has been proposed and studied to satisfy the higher-level requirements in recent years. Benini [1] successfully performed the multi-objective optimiz...

Reliability-Based Design Optimization of a Transonic Compressor

A multiobjective, reliability-based design optimization method for computationally intensive problems is proposed. In this method we use a genetic algorithm to facilitate the multiobjective optimization. To further improve the convergence of the genetic algorithm, we augment it with a local search. Reliability analysis is performed using Monte Carlo simulation. Quadratic design response surface...