<p>In a jet engine, turbine blades operate the compressor and other components. Computational fluid dynamics (CFD) is essential for the aerodynamic design of turbo equipment. For a few decades, designing turbine blades was impossible without the assistance of CFD, and this dependence has grown as more of the flow becomes numerically predictable. The aerodynamics of flow in a turbine stage is complex, and there are numerous active research endeavors in the gas turbine field. This study generates a hexahedral and tetrahedral mesh on a turbine blade. Meshing is one of the most significant aspects during the preprocessing step. The goal of discretization is to provide a discrete representation of a domain. The lift coefficient, drag coefficient, pressure, velocity, and turbulence kinetic energy contours, as well as wake forms of a turbine blade, are calculated using the CFX solver and validated with experimental findings. The peculiarity of this work is that it combines CFD simulations with practical wind tunnel validation, such as in one flow, providing a more comprehensive examination of turbine blade aerodynamic performance while also improving numerical forecast reliability.</p> Graphical abstract <p>Schematic overview of the proposed methodology and key findings</p> <p></p>

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Flow characteristics over a turbine blade: a combined numerical and experimental approach

  • Santhosh Kumar Dubba,
  • Kelli Durgaprasad,
  • Avinash Chaudhary,
  • Yaganti Raghu Ram,
  • Raghuveer Dontikurti,
  • Sreeramulu Dowluru,
  • Roopsandeep Bammidi

摘要

In a jet engine, turbine blades operate the compressor and other components. Computational fluid dynamics (CFD) is essential for the aerodynamic design of turbo equipment. For a few decades, designing turbine blades was impossible without the assistance of CFD, and this dependence has grown as more of the flow becomes numerically predictable. The aerodynamics of flow in a turbine stage is complex, and there are numerous active research endeavors in the gas turbine field. This study generates a hexahedral and tetrahedral mesh on a turbine blade. Meshing is one of the most significant aspects during the preprocessing step. The goal of discretization is to provide a discrete representation of a domain. The lift coefficient, drag coefficient, pressure, velocity, and turbulence kinetic energy contours, as well as wake forms of a turbine blade, are calculated using the CFX solver and validated with experimental findings. The peculiarity of this work is that it combines CFD simulations with practical wind tunnel validation, such as in one flow, providing a more comprehensive examination of turbine blade aerodynamic performance while also improving numerical forecast reliability.

Graphical abstract

Schematic overview of the proposed methodology and key findings