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Research Papers

Numerical Investigation of an Elastomer-Piezo-Adaptive Blade for Active Flow Control of a Nonsteady Flow Field Using Fluid–Structure Interaction Simulations

[+] Author and Article Information
Tien Dat Phan

Department of Engineering Design,
Micro and Medical,
Berlin Institute of Technology,
Berlin 10623, Germany
e-mail: t.phan@tu-berlin.de

Patrick Springer

Department of Engineering Design,
Micro and Medical,
Berlin Institute of Technology,
Berlin 10623, Germany
e-mail: patrick.springer@campus.tu-berlin.de

Robert Liebich

Department of Engineering Design,
Micro and Medical,
Berlin Institute of Technology,
Berlin 10623, Germany
e-mail: robert.liebich@tu-berlin.de

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received December 7, 2016; final manuscript received February 25, 2017; published online April 11, 2017. Assoc. Editor: Rakesh Srivastava.

J. Turbomach 139(9), 091004 (Apr 11, 2017) (10 pages) Paper No: TURBO-16-1313; doi: 10.1115/1.4036107 History: Received December 07, 2016; Revised February 25, 2017

In order to prevent critical effects due to pulsed detonation propulsion, e.g., incidence fluctuations, an elastomer-piezo-adaptive stator blade with a deformable front part is developed. Numerical investigations with respect to the interaction of fluid and structure including the piezoelectric properties and the hyperelastic material behavior of an elastomer membrane are conducted in order to investigate the concept of the elastomer-piezo-adaptive blade for developing the best suitable concept for subsequent experiments with a stator cascade in a wind tunnel. Results of numerical investigations of the structure-dynamic and fluid mechanical behavior of the elastomer-piezo-adaptive blade by using a novel fluid–structure-piezoelectric-elastomer-interaction simulation (FSPEI simulation) show that the latent danger of a laminar flow separation at the leading edge at incidence fluctuations can be prevented by using an adaptive blade. Therefore, the potential of the concept of the elastomer-piezo-adaptive blade for active flow control is verified. Furthermore, it is essential to consider the interactions between fluid and structure of the transient FSPEI simulations, since not only the deformation of the adaptive blade affects the flow around the blade, the flow has a significant effect on the dynamic behavior of the adaptive blade, as well.

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Figures

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Fig. 1

Concept of the elastomer-piezo-adaptive blade: (a) deflection angles corresponding to incidence fluctuations and (b) prototype of the elastomer-piezo-adaptive blade

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Fig. 2

Two-dimensional low-speed compressor stator cascade

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Fig. 3

Simulation model and discretization of the elastomer-piezo-adaptive blade: (a) simulation model of the adaptive blade and (b) discretization of the adaptive blade

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Fig. 4

Experimental results of a conventional stator blade at the blade inlet angle β1 = 137 deg (i = 0 deg—design point): (a) oil flow visualization on the suction side and (b) total pressure loss coefficient at the outlet

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Fig. 5

Variation of the flow domain and pressure coefficient distribution on the conventional blade: (a) variation of the flow domain—flow domain for nine blades, three blades, and one blade and (b) pressure coefficient distribution on the conventional blade with the domain for one blade

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Fig. 6

Discretization of the flow domain

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Fig. 7

Fluid–structure-piezoelectric-elastomer-interaction simulation model (FSPEI simulation model)

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Fig. 8

Pressure coefficient distributions on the conventional blade: (a) at positive incidence angles and (b) at negative incidence angles

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Fig. 9

Blade deflection oscillations and flow incidence fluctuations: (a) deflection oscillations and incidence fluctuations, (b) blade deflection angle of +1 deg at the incidence angle of −2 deg (time point 1), and (c) blade deflection angle of −1 deg at the incidence angle of +2 deg (time point 2)

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Fig. 10

Deflection of the leading edge of the adaptive blade with and without flow load

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Fig. 11

Pressure coefficient distributions on the adaptive blade with the deflection angles of ±1 deg and ±1.5 deg at the sinusoidal incidence fluctuation of ±2 deg: (a) at the positive incidence angle of +2 deg and (b) at the negative incidence angle of −2 deg

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Fig. 12

Pressure coefficient distributions on the adaptive blade with the deflection angle of ±1.5 deg at the sinusoidal incidence fluctuation of ±4 deg: (a) at the positive incidence angle of +4 deg and (b) at the negative incidence angle of −4 deg

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Fig. 13

Deformation at the gap of the adaptive blade: (a) at negative deflection angle of −1 deg and (b) at positive deflection angle of +1 deg

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Fig. 14

Deflection of the leading edge of the adaptive blade without actuation at the constant incidence (design point) and at sinusoidal incidence fluctuations of ±2 deg and ±4 deg

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Fig. 15

Pressure coefficient distributions on the adaptive blade without actuation at the sinusoidal incidence fluctuation of ±2 deg: (a) at the positive incidence angle of +2 deg and (b) at the negative incidence angle of −2 deg

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Fig. 16

Pressure coefficient distributions on the adaptive blade without and with actuation at the sinusoidal incidence fluctuation of ±4 deg: (a) at the positive incidence angle of +4 deg and (b) at the negative incidence angle of −4 deg

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Fig. 17

Pressure coefficient distribution on the adaptive blade without actuation at a constant incidence (design point)

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Fig. 18

Second concept of the elastomer-piezo-adaptive blade

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Fig. 19

Stator cascade of the elastomer-piezo-adaptive blade with the choking device

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