Numerical simulation of gas-dynamic and strength characteristics of a fan for the experimental test rig for investigation of ice breakdown on rotating working blades

Author details
  • Perm National Research Politechnic University, Perm, Russian Federation
  • Perm National Research Politechnic University, Perm, Russian Federation
  • Perm National Research Politechnic University, Perm, Russian Federation
  • Perm National Research Politechnic University, Perm, Russian Federation

Abstract

The paper is devoted to modern experimental and computational studies analysis on the point of asymmetric destruction of ice on the surfaces of the working blades of gas-turbine engine blades. A schematic diagram of an experimental setup has been developed, which consists of the following main elements: a wind tunnel, a cold chamber, a model fan, an electric motor, and a high-speed video camera. The experimental setup makes it possible to carry out laboratory studies of the ice formation and destruction processes. The choice of the experimental test rig parameters was made to allow assessing the icing of the blades of a rotating fan, which reproduces the processes occurring on gas turbine engines. Based on the results of three-dimensional gas-dynamic and strength calculations, the design and basic geometrical parameters of the flow path and the dummy fan were determined. The dependences of compression ratio Pk and the power consumption of a model fan Wcons on the value of the mass air flow Gair for a different number of rotor blades are presented. The choice of materials for the disk hub and blades of a dummy fan which experience tensile and bending loads at high rotation speeds up to 12.000 rpm was made, that satisfies the conditions of static and dynamic strength, also the allowable safety factors were evaluated, and pressure characteristics were obtained.

Keywords

gas turbine enginesturbofan gas turbine enginesicingvibrationsunbalanceasymmetric ice breakinggas dynamic modelingstrength analysismodal analysisvibration measurementsupercomputer

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Article information

Published
29 May 2023
Issue date
29 May 2023
Issue
No. 1 (2023)
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