Free Publication

Rapid 3D Multi-Objective / Multi-Disciplinary Optimization of Axial Turbines

Written by Prof. Mehrdad Zangeneh and K. Daneshkhah, Advanced Design Technology Ltd.

What's inside?

Design of axial turbines, especially LP turbines, poses difficult trade-offs between requirements of aerodynamic design and structural limitations. In this paper, a methodology is proposed for 3D multi-objective design of axial turbine blades in which a 3D inverse design method is coupled with a multi-objective genetic algorithm.

The effectiveness of this method was proved with the test case in this paper, where a highly stressed LP turbine blade was optimized with a 9hr automatic optimization, improving structural performance considerably while maintaining consistent efficiency characteristic and a 0.5% increase in peak stage efficiency.

 

In this publication, you will:

  1. Discover the Inverse Design technics to rapidly design axial turbines. The results are confirmed by using the commercial CFX CFD (Computational Fluid Dynamics) code and Ansys FEA (Finite Element Analysis) codes.
  2. See how this proposed approach can be used to rapidly and automatically explore a large part of the design space to create the axial turbine designs that meet requirements relating to efficiency, mechanical constraints or cost...
  3. Understand why such an approach leads to a substantial reduction of the computational cost.
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