Instrumentation

Official reporting indicates that Instrumentation, representing a significant development with immediate strategic implications across the Space & Astronomy landscape.

Official reporting indicates that Instrumentation, representing a significant development with immediate strategic implications across the Space landscape. 3 min read Preparations for Next Moonwalk Simulations Underway (and Underwater) To measure airflow and sound, research teams at the NASA Glenn Research Center use special instrumentation like particle image velocimetry, hot wire anemometry, Raman spectroscopy, microphones in phased arrays or continuously rotating rakes.

The global aviation noise reduction community relies on data from NASA GRC experiments to validate theory and noise prediction software. Rotating Rake Mode Measurement System (RRMS) Hear an annoying tone from your turbofan engine?

Engineers might prescribe an advanced liner or specially tuned active noise control system to quiet it down. To get it right, though, more information about the modal content of the tone is needed. This kind of data can’t be measured with a stationary microphone, which is why NASA Glenn engineers pioneered procedures using rotating microphones in the 1990s. Rotating Microphone Rakes have been used by NASA Glenn researchers in a wide variety of tests ranging from low-speed proof of concept tests in the Advanced Noise Control Fan Rig and 9- by 15-Foot Low Noise Wind Tunnel to full-scale turbofan engine ground tests. Rotating Rake Mode Measurement System (RRMS) NASA Microphone Phased Arrays In a phased array system, microphones are placed in a 1D, 2D or 3D arrangement and when sound measurements from these microphones are properly processed, noise sources can be pinpointed. NASA Glenn has an Array48 microphone system that has been used extensively to locate noise sources in scale-model jet flows, a counter-rotating open rotor fan model, and even a full-scale F404 military engine. Through NASA funding, a method has been developed to use microphones embedded in the fan duct of an engine to determine the location of noise sources on the rotating blades. Phased Array Microphones determining the location of noise sources on the rotating blades. NASA Hotwire, Hotfilm, and Laser Doppler Velocimetry We know that annoying tone noises can be created by periodic disturbances, such as when the wake from a fan blade interacts with a downstream stator vane. We also know that broadband noise is generated when an aircraft engine ingests turbulent air. Therefore, we must be able to record detailed velocity measurements of the air passing through an experimental propulsor so we can identifying noise sources and work to mitigate them. We must use special instrumentation like hotwire probes and Laser Doppler Velocimeters (LDV) to measure the air velocity upstream, downstream, and between the rotor and the stator of an experimental propulsor. Plots of the velocity measurements can be made which allow us to visualize the disturbances that the rotor created. Hotwire and LDV data are routinely used to validate calculations used to estimate noise from turbofan engines. Hotwire, Hotfilm, and Laser Doppler Velocimetry NASA Contact Us Need to reach us for more information about our research, software, or data? Get in touch via the link below. Send an email Keep Exploring Discover Related Topics Glenn Labs and Test Facilities NASA’s Glenn Research Center at Lewis Field in Cleveland and the Neil Armstrong Test Facility in Sandusky, Ohio, house ground… Science in the Air Doing Business with Glenn Aerosciences - Primary Research Focus: Instrumentation. - Empirical Metrics: Calibrated observational telemetry and laboratory findings. - Researcher & Investigator Statements: Statements recorded by principal scientific investigators. - Field of Investigation: Space research and empirical observation. - Originating Desk: Dispatched via NASA Breaking News (L. Scientific discoveries of this caliber build upon decades of peer-reviewed literature, calibrated observational baselines, and rigorous experimental protocols. Research teams must validate instrumentation accuracy against established control datasets to eliminate systemic noise and experimental bias. Comparing new observational telemetry against historical baseline models enables researchers to isolate novel phenomena from standard environmental variance. Such breakthroughs frequently redefine existing theoretical frameworks and open promising avenues for empirical exploration. The broader implications of these findings extend into academic research, industrial engineering, and public health: - Theoretical Advancements: Refines mathematical models and conceptual frameworks guiding active research disciplines. - Technological & Medical Integration: Lays the empirical groundwork for new diagnostic tools, aerospace materials, or computational algorithms. - Interdisciplinary Collaboration: Fosters joint research initiatives across university labs, government institutes, and private research enterprises. The scientific community will anticipate replication trials, subsequent peer-reviewed papers, and extended observational campaigns over coming research cycles. Further peer analysis and independent validation will solidify these findings within the international scientific canon. Chronicle Global's science desk tracks active research journals, academic conferences, and global research institutions to bring cutting-edge discoveries to our readers. This scientific brief is synthesized from verified research releases originated by NASA Breaking News, under the byline of **L. Editorial oversight ensures adherence to rigorous standards of scientific communication and factual fidelity.

• Primary Research Focus: Instrumentation.
• Empirical Metrics: Calibrated observational telemetry and laboratory findings.
• Researcher & Investigator Statements: Statements recorded by principal scientific investigators.
• Field of Investigation: Space & Astronomy research and empirical observation.
• Originating Desk: Dispatched via NASA Breaking News (L. Danielle Koch).

Scientific discoveries of this caliber build upon decades of peer-reviewed literature, calibrated observational baselines, and rigorous experimental protocols. Research teams must validate instrumentation accuracy against established control datasets to eliminate systemic noise and experimental bias.

Comparing new observational telemetry against historical baseline models enables researchers to isolate novel phenomena from standard environmental variance. Such breakthroughs frequently redefine existing theoretical frameworks and open promising avenues for empirical exploration.

The broader implications of these findings extend into academic research, industrial engineering, and public health:

• Theoretical Advancements: Refines mathematical models and conceptual frameworks guiding active research disciplines.
• Technological & Medical Integration: Lays the empirical groundwork for new diagnostic tools, aerospace materials, or computational algorithms.
• Interdisciplinary Collaboration: Fosters joint research initiatives across university labs, government institutes, and private research enterprises.

The scientific community will anticipate replication trials, subsequent peer-reviewed papers, and extended observational campaigns over coming research cycles. Further peer analysis and independent validation will solidify these findings within the international scientific canon.

Chronicle Global's science desk tracks active research journals, academic conferences, and global research institutions to bring cutting-edge discoveries to our readers.

This scientific brief is synthesized from verified research releases originated by [NASA](/topics/space) Breaking News, under the byline of L. Danielle Koch. Editorial oversight ensures adherence to rigorous standards of scientific communication and factual fidelity.