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Multifunctional Material and Aerospace Structures Optimization Lab

Research website for the Hartl research team at Texas A&M

Texas A&M University College of Engineering

Continuous-Scan Acoustic Measurement and Simulation

62-channel, 2-DOF continuous-scan acoustic measurement system.

Wind tunnel background noise can be a significant confounding factor in the characterization of aeroacoustic noise sources. To improve the quality of data and better understand acoustic source mechanisms, beamforming arrays are used to recover acoustic source maps and perform spatial filtering to reject background noise. Array performance (main lobe width, maximum side level, etc.) is commonly improved by adding more sensors at considerable expense. By continuously moving a set of microphones and phase-referencing them to a set of stationary microphones, a high-resolution synthetic array is created and greatly improves beamforming performance, approaching the theoretical limit for a continuous-aperture (infinite-sensor) array. This continuous-scan acoustic array, developed in collaboration with ATA Engineering, Inc. and NASA Langley Research Center, is a unique testing capability at the Texas A&M 3’ x 4’ Low-Speed Subsonic Wind Tunnel. As a practical consequence of using continuous-scan acoustic systems, software for rapid processing of many (100+) datasets has been developed using efficient partial field methods. The ASPEN (Acoustic Simulation and Processing Environment) software package was developed and represents a three order-of-magnitude reduction in signal processing time.

Acoustic source map of a thin wire in 35 m/s flow at 3.65 kHz.

Related Publications:

  • K. F. Lieb, S. Kinney, P. N. Shah, D. Hensley, and D. J. Hartl, “Improved computational efficiency of continuous-scan beamforming with partial field decomposition,” AIAA SCITECH 2024 Forum, DOI: 10.2514/6.2024-2108.
  • K. F. Lieb, S. Kinney, P. N. Shah, D. Hensley, L. Schweizer, and D. J. Hartl, “Development of an economical 2-DOF continuous-scan acoustic beamforming array,” AIAA AVIATION 2023 Forum, DOI: 10.2514/6.2023-3815.

Graduate Student: Kevin Lieb 

For more research videos from the M2AESTRO, please visit our YouTube page.

Research Topics

  • All Research
  • Topological Design of Multifunctional Structures via Genetic Programming
  • Morphing Antenna for Geographical Targeting
  • Mission-Adaptive Morphing Rotor Blades
  • Embedded SMA Sensory Components for Real-Time Structural Health Monitoring
  • Supersonic Morphing Aircraft
  • Muscular-Skeletal Morphing Structures
  • Immersive and Intuitive Data Environments
  • Avian Inspired Morphing Aircraft
  • Morphing Aerostructures for Noise Reduction
  • Reconfigurable Origami
  • Morphing Space Radiators
  • AAWE-EAA Spring Flight Event 2023
  • “Engineering a Homerun” Poster Design Commentary

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