Multi-objective aerodynamic optimisation of a radial-inflow turbine

Odabaee, Mostapha, Sauret, Emilie, & Hooman, Kamel (2016) Multi-objective aerodynamic optimisation of a radial-inflow turbine. In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, June 13 - 17 2016, Seoul, Korea.


Optimisation, robustness and reliability analyses have an increasing importance in turbomachinery industry engineering. With continuing progress in computational simulations, computational-based optimisation has proven to be a useful tool in reducing the design process duration and expense. This paper describes an optimisation procedure to modify the geometry of a 7 kW R245Fa radial-inflow turbine from a concentrated solar resource of 150ºC with a pressure ratio of 3.7 to improve aerodynamic efficiency and satisfy manufacturing constraints. The procedure integrates the parameterisation of the turbine blade geometry, multi-objective optimisation, and 3D CFD analysis.

ANSYS-BladeGen was applied to create the 3D geometry of the flow passage carefully examining the proposed design against the baseline geometrical data. Generating the required computational mesh with ANSYS-TurboGrid followed by grid refinement, CFD simulations are then performed with ANSYS-CFX in which three-dimensional Reynolds-Averaged Navier-Stokes equations are solved subject to appropriate boundary conditions and real gas properties (RGP) - generating a required table from REFPROP - was used.

Considering a steady state solution, a high resolution for both Advection Schemes and Turbulence Numeric were applied resulting in higher accuracy while it reasonably increases the computational cost.

OptiSlang Dynardo was used to conduct a multi-objective optimisation and identify the most relevant input parameters in order to reduce the numerical effort for the optimisation algorithm. Implementing evolutionary algorithm resulted in a Pareto front to choose a nominal design for a subsequent reliability analysis and define previously unknown feasible design space boundaries.

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ID Code: 96373
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: optimisation, radial-inflow turbines, CFD
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Numerical Modelling and Mechanical Characterisation (091307)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500) > Computational Fluid Dynamics (091501)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
  • ASTRI/Node 4
Copyright Owner: Copyright 2016 [Please consult the author]
Deposited On: 28 Jun 2016 23:40
Last Modified: 06 Oct 2016 05:33

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