This paper presents the results of the multi-objective optimization strategy of mixed-flow pump design by means of three-dimensional inverse design approach, Computational Fluid Dynamics (CFD), Design of Experiments (DoE), response surface model (RSM) and Multi Objective Genetic Algorism (MOGA).
The design of a turbocharger turbine with good performance still presents a lot of challenges. In this paper we propose an approach based on 3D inverse design method that makes such a design optimization strategy possible under industrial timescales.
An inverse design methodology is presented for the design of turbomachinery blades using a cell-vertex finite volume time-marching algorithm in transonic viscous flow. In this method the blade shape is designed subject to a specified distribution of pressure loading (the difference in pressure across the blade) and thickness distribution.
The development and application of a three-dimensional inverse design for turbomachinery blades is described in this paper. The method solves for the blade geometry based on the prescribed mass-averaged swirl velocity across the blade span and a fixed tangential blade thickness.
Automatic optimization techniques have been used in recent years for the aerodynamic and mechanical design of turbomachinery components. In this paper, an optimization strategy is presented, which enables the three-dimensional multipoint, multi objective aerodynamic optimization of turbomachinery blades in a time frame compatible with industrial standards.
A methodology for designing radial and mixed-inflow turbines to meet multiple aerodynamic and mechanical requirements is presented in this paper. The method couples a 3D Inverse Design code and Design of Experiment Method (DoE), along with a Response Surface Method (RSM) to design turbines which meet various design criteria.