Advanced blade aerodynamic design for next-generation jet engines

Project name: Advanced blade aerodynamic design for next-generation jet engines

Research group: Aerospace Science and Technology

Objective

Description

To meet the ever demanding need of increased fuel efficiency and reduced emissions, advanced numerical tools are developed to assist the designers. In partnership with a leading engine manufacturer, novel numerical models extend high-fidelity computational fluid dynamic softwares to estimate the sensitivity of performance metrics to design parameters using control theory.

The computational domain consists of multiple blade passages, one for each row, using periodic boundary conditions to model the complete blade row and mixing plane interfaces to model the interaction between adjacent rows.

Full stage with stator and rotor blade rows and computational blade passages

 

The process involves solving both the flow governing equations, namely the Reynolds-averaged Navier-Stokes, and the corresponding adjoint equations for each performance metric of interest, such as efficiency, pressure ratio or mass flow.

Flow solution
Adjoint solution for mass flow

 

The resulting adjoint solutions are then used to evaluate the derivatives of the performance metrics with respect to the selected design variables. These design variables can be the shape of the blades and hub/casing, but can also be the inlet or exit flow conditions.

Sensitivity of the rotor efficiency to the blade shapes
Sensitivity of the rotor pressure ration to the inlet tangential velocity

 

The adjoint method computational cost is approximately the same as that of the flow solution and, In contrast to other sensitivity analysis methods, it is nearly independent of the number of design variables.

 

 

References

  1. S. S. Rodrigues and A. C. Marta, Adjoint formulation of a steady multistage turbomachinery interface using automatic differentiation, Computer and Fluids, Vol.-, Issue -, pp.–, September 2018 (in press). doi: 10.1016/j.compfluid.2018.09.015.
  2. A. C. Marta and S. Shankaran, Assessing turbomachinery performance sensitivity to boundary conditions using control theory, AIAA Journal of Propulsion and Power, Vol.30, Issue 5, pp.1281–1294, September 2014. doi: 10.2514/1.B35087.

 

Contact Person

André C. Marta

 

Publications

Afonso Guerra Santoalha, Design and Investigation of a Novel Gas Turbine Combustor, Oct, 2024
Marco Filipe Brito da Silva, Investigação Experimental de uma Câmara de Combustão Inovadora para Motores Aeroespaciais com Misturas de Gás Natural e Hidrogénio, Oct, 2024
Bruno Miguel Carvalho Maia Pinto, Numerical Simulation of a Novel Gas Turbine Combustors for Aero Engine, Oct, 2024
Gonçalo P. Pacheco, Afonso Santoalha, Bruno Pinto, Miguel Mendes, Pedro J. Coelho, Preliminary Experimental and Computational Investigation of a Laboratory Gas Turbine Combustor, 10th World Conference on Experimental Heat Transfer, Fluid Mechanics and Thermodynamics, Rhodes, Greece, Aug, 2024
Bruno Pinto, Afonso Santoalha, Gonçalo P. Pacheco, Miguel Mendes, Pedro J. Coelho, Numerical Simulation of Laboratory Combustors: A Comparison of two Commercial Codes, CMN 2024, Congresso de Métodos Numéricos em Engenharia, Sep, 2024
Marcelo Esposito, Renato Calegari, J.M.G. Marques, Oumaima Mesbahi, Mouhaydine Tlemcani, Usage of non-invasive technique to diagnose a photovoltaic plant, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 46, 1, 32-61, 2024
Gonçalo P. Pacheco, José Chaves Pereira, Miguel Mendes, Pedro J. Coelho, Investigation of a Fuel-Flexible Diffusion Swirl Burner Fired with NH3 and Natural Gas Mixtures, Energies, 17, 4206, 2024