System and method for predetermining the onset of impending oscillatory instabilities in practical devices
US-2021131663-A1 · May 6, 2021 · US
US11378488B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11378488-B2 |
| Application number | US-202016894052-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 5, 2020 |
| Priority date | Jun 6, 2019 |
| Publication date | Jul 5, 2022 |
| Grant date | Jul 5, 2022 |
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A system and method for optimizing passive control strategies of oscillatory instabilities in turbulent systems using finite-time Lyapunov exponents are disclosed. The method includes receiving data from one or more measuring devices connected to the turbulent flow system incorporating a control strategy in the flow field. One or more flow characteristics are determined from the data obtained from the measuring devices. The method involves computing critical dynamics from backward time finite-time Lyapunov exponent (FTLE) field based on the one or more flow characteristics. Next, one or more regions of critical dynamics associated with impending oscillatory instabilities in the turbulent flow system are identified. The identified region of critical dynamics is disrupted the control the onset of oscillatory instabilities in the turbulent flow system.
Opening claim text (preview).
What is claimed is: 1. A computer implemented method of controlling onset of oscillatory instabilities in a turbulent flow system, the method comprising: receiving data from one or more measuring devices connected to the turbulent flow system incorporating a control strategy in the flow field; determining one or more flow characteristics from the data obtained from the measuring devices; computing critical dynamics from backward time finite-time Lyapunov exponent (FTLE) fields based on the one or more flow characteristics; identifying one or more regions of critical dynamics associated with impending oscillatory instabilities in the turbulent flow system; and disrupting the identified region of critical dynamics to control the onset of oscillatory instabilities in the turbulent flow system. 2. The method as claimed in claim 1 , wherein the data is received using Particle Image Velocimetry (PIV) technique or Computational Fluid Dynamics (CFD) methods comprising Direct Numerical Simulations (DNS) and Large Eddy Simulation (LES), and a photomultiplier tube and high speed cameras. 3. The method as claimed in claim 1 , comprising performing signal conditioning processes on the data obtained from measuring device, wherein the signal conditioning processes comprises noise filtering and signal amplification. 4. The method as claimed in claim 1 , wherein the flow characteristics comprises computation of a flow-map function indicative of the displacement of fluid parcels for one or more time intervals. 5. The method as claimed in claim 1 , wherein identifying one or more critical regions comprises selecting one or more regions above a predetermined threshold value in the FTLE fields. 6. The method as claimed in claim 1 , wherein the control strategy comprises an active control strategy in the flow field, the active control strategy comprising actuating a valve to control the flow velocity to control the onset of oscillatory instabilities in the turbulent flow system. 7. A system for controlling onset of oscillatory instabilities in a turbulent flow system, the system comprising: a memory unit; one or more measuring devices configured to measure data associated with turbulent flow system incorporating a control strategy in the flow field; a processor coupled to the memory unit, wherein the processor is configured to: receive data from one or more measuring devices connected to the turbulent flow system; determine one or more flow characteristics from the data obtained from the measuring devices; compute critical dynamics from backward time finite-time Lyapunov exponent (FTLE) fields based on the one or more flow characteristics; and identify one or more regions of critical dynamics associated with impending oscillatory instabilities in the turbulent flow system; and a passive control unit configured to disrupt the identified region of critical dynamics to control the onset of oscillatory instabilities in the turbulent flow system. 8. The system as claimed in claim 7 , wherein one or more measuring devices comprise: a system to perform Particle Image Velocimetry (PIV), photo multiplier tube, and high speed cameras. 9. The system as claimed in claim 7 , comprising: a control unit configured to receive the identified one or more critical regions and control the operation of an actuating device. 10. The system as claimed in claim 9 , wherein the actuating device is configured to actuate a valve to control the flow velocity to control the onset of oscillatory instabilities in the turbulent flow system. 11. A computer program product having non-volatile memory therein, carrying computer executable instructions stored therein to control onset of oscillatory instabilities in a turbulent flow system, the instructions comprising: receiving data from one or more measuring devices connected to the turbulent flow system incorporating a control strategy in the flow field; determining one or more flow characteristics from the data obtained from the measuring devices; computing critical dynamics from backward time finite-time Lyapunov exponent (FTLE) fields based on the one or more flow characteristics; identifying one or more regions of critical dynamics associated with impending oscillatory instabilities in the turbulent flow system; and disrupting the identified region of critical dynamics to control the onset of oscillatory instabilities in the turbulent flow system.
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