Reducing Noise from Single and Twin Supersonic Jets Using Very-Low-Frequency Control
Abstract
This proposal addresses the need to improve liquid sprays through active control inprocesses of interest to the Navy and DoD, both technological and environmental. It is proposed to develop novel and effective numerical algorithms in conjunction withexperimental and simulation approaches to impact spray control to the point where complete engineering solutions to spray control are possible. Specifically, the proposing team will employ their leading expertise in creating improved experimental characterization and real-time sensing for dense sprays, high fidelity numerical simulations of turbulent liquid-gas flows from first principles, and novel and effective algorithms for adjoint-based unconstrained and constrained optimal control, and model reduction to enable the tailoring of a spray to application-defined objectives using novel Multiphysics actuation. Jet-engine fuel injection sprays are the target application in which to wrap all the fundamental advances created in thisproject around a unifying technological challenge. In order to demonstrate multi-physics control of fuel sprays, two emerging but proven multiphase actuation strategies will be employed, namely acoustic and electrostatic forcing, in addition to direct pulsing of the flow rates at injection. The experimental and numerical tools are organized around three research tracks such that they contribute hand-in-hand, with several points of direct comparison. Track 1 and Track 2 use experimental and simulation data, respectively, to develop a data-driven reduced-order description of the spray from which control can be achieved. Track 3, on the other hand,develops a completely self-contained optimal control methodology using first principles simulations and their adjoints, that can be used as the gold standard against which the data-driven models constructed in Tracks 1 and 2 may be evaluated and improved. The ultimate outcome of the proposed work is the demonstrated multi-physics control of liquid fuel sprays issuing from complex airblast atomizers through the novel integration of advanced diagnostics and the application of data- and simulation-driven model reduction ineasy- to-implement control algorithms. Optimal control of spray formation and droplet dispersion in high speed turbulent flows will enable multiple breakthroughs with far-reaching consequences in the design and operation of naval assets, such as sea-spray formation in highspeed surface vessels and high-throughput additive manufacturing. Other areas of interest to DoD that rely on spray performance improvements, such as atmospheric dispersion of NBQ agents, explosives detection, airways-based drug delivery will directly benefit from the successof this project.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 13, 2019
- Source ID
- N000141912431
Entities
People
- Daniel J. Bodony
Organizations
- Office of Naval Research
- United States Navy
- University of Illinois Urbana–Champaign