NASA SBIR 2018-II Solicitation

Proposal Summary

 18-2- A1.02-1269
 Quiet Performance - Propulsion Noise Reduction Technology
 Reduced-Order Acoustic Prediction Tool for Ducted Fan Noise Sources Including Inflow Distortion and Turbulence Ingestion
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Technology in Blacksburg, Inc.
265 Industrial Drive
Christiansburg, VA 24073
(540) 961-4401

PRINCIPAL INVESTIGATOR (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Jon Fleming
265 Industrial Drive
Christiansburg, VA 24073 - 2538
(540) 381-8502

BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Tamara Murray
265 Industrial Dr.
Christiansburg, VA 24073 - 2538
(540) 381-8502

Estimated Technology Readiness Level (TRL) :
Begin: 3
End: 6
Technical Abstract (Limit 2000 characters, approximately 200 words)

In response to NASA SBIR topic A1.02, the team of Techsburg, AVEC, and aircraft developer Ampaire have begun implementation of a reduced-order acoustic prediction tool for ducted fan noise sources including inflow distortion and turbulence ingestion.  Named the “Installed Ducted-Fan Noise Model” (IDFNM) and branching from Techsburg/AVEC’s recognized collaborative work in noise modeling for pusher propellers for defense and commercial customers, this tool will offer early-stage design support for installed ducted fan-rotor propulsion systems by capturing the aerodynamic unsteady loading and noise sources resulting from inflow distortion and unsteadiness – sources of significant importance for the emerging highly-integrated propulsion-airframe concepts such as boundary layer ingesting fans.  Phase I work positioned the team to use Ampaire’s first-generation, aero-efficient TailWind electric aircraft as a demonstrator for novel acoustic prediction tools.  Building on the Phase I upgrades to the existing NASA codebase V072, Phase II work will see targeted development of a reduced-order prediction tool for turbulence ingestion noise (TIN), a current technical gap in NASA/industry capability.  Leveraging extensive background in the field of turbulence ingestion from academic partners Drs. William Devenport and Nathan Alexander, this tool will derive inflow turbulence statistics by appropriate scaling of correlation functions as measured on four canonical geometries.  Combined with accepted blade response models and propagation via Green’s function to the far-field, the result will be a first-of-its-kind prediction tool accessible at low computational cost.  Milestones throughout the work will see the acoustic prediction tool validated in the state-of-the-art anechoic wind tunnel at Virginia Tech.   The deliverable of this Phase II work is the integrated low-order noise prediction software "Installed Ducted-Fan Noise Model” which ultimately will be commercialized.

Potential NASA Applications (Limit 1500 characters, approximately 150 words)

This SBIR targets a technical gap in the reduced-order acoustic prediction toolset of NASA/industry.  The progress represents a low-risk, high-reward solution to NASA’s need for growth in modeling acoustic sources for propulsors in highly unsteady inflows within the Advanced Air Transport Technology Program.  Post-Phase II stakeholders include NASA Glenn (for commercialization and integration of acoustic code with existing NASA-aligned tools) as well as all NASA/industry partners pursuing state-of-the-art, high efficiency, low noise aircraft.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

The forthcoming "Installed Ducted-Fan Noise Model” tool will be marketed as a reduced-order prediction tool for industry/academia, lending itself to any number of nascent aircraft configurations including Ampaire’s Tailwind design.  State-of-the-art inflow distortion noise modeling may also find inroads in ducted lift fans, HVAC fans, turbomachinery, marine propulsion, and impeller/blower cages.

Duration: 24

Form Generated on 05/13/2019 13:30:59