Journal of Thermal Science

, Volume 27, Issue 3, pp 259–269 | Cite as

Compressor and Turbine Multidisciplinary Design for Highly Efficient Micro-gas Turbine

  • Dario Barsi
  • Andrea Perrone
  • Yonglei Qu
  • Luca Ratto
  • Gianluca Ricci
  • Vitaliy Sergeev
  • Pietro Zunino


Multidisciplinary design optimization (MDO) is widely employed to enhance turbomachinery components efficiency. The aim of this work is to describe a complete tool for the aero-mechanical design of a radial inflow turbine and a centrifugal compressor. The high rotational speed of such machines and the high exhaust gas temperature (only for the turbine) expose blades to really high stresses and therefore the aerodynamics design has to be coupled with the mechanical one through an integrated procedure. The described approach employs a fully 3D Reynolds Averaged Navier-Stokes (RANS) solver for the aerodynamics and an open source Finite Element Analysis (FEA) solver for the mechanical integrity assessment.

Due to the high computational cost of both these two solvers, a meta model, such as an artificial neural network (ANN), is used to speed up the optimization design process. The interaction between two codes, the mesh generation and the post processing of the results are achieved via in-house developed scripting modules. The obtained results are widely presented and discussed.


Micro-gas turbine Multidisciplinary Optimization Centrifugal Compressor Centripetal Turbine 


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Copyright information

© Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Dario Barsi
    • 1
  • Andrea Perrone
    • 1
  • Yonglei Qu
    • 2
  • Luca Ratto
    • 1
  • Gianluca Ricci
    • 1
  • Vitaliy Sergeev
    • 3
  • Pietro Zunino
    • 1
  1. 1.Department of Mechanical, Energy, Management and Transport EngineeringUniversità degli Studi di GenovaGenovaItaly
  2. 2.Faculty of Power and Energy EngineeringHarbin Engineering UniversityHarbinChina
  3. 3.Institute of Energy and Transport Systems“Peter the Great” St. Petersburg Polytechnic UniversitySaint PetersburgRussia

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