SBIR/STTR Research Award

Full-Scale eVTOL Aircraft Aerodynamic and Acoustic Flight Test, Modeling and Simulation

Award identifier 20c7ffb39d65b6b5fbc6f8db09a7751ffc597124fa4163b67553d6ce41c40a6bAwarding agency National Aeronautics and Space Administration

Award amount

$149,471

Program and phase

STTR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
CONTINUUM DYNAMICS INC
Proposal award date
2023-07-17
Contract end date
2024-09-02
UEI
DUE3E75K1MJ3
Solicitation number
STTR_23_P1
Topic code
T15

Research abstract

Integration of Electric Vertical Takeoff and Landing (eVTOL) vehicles has the potential to transform the landscape of short-range vertical take-off and landing (VTOL) flight.nbsp; Among the eVTOL aircraft under development for projected Advanced Air Mobility (AAM) missions are distributed electric propulsion (DEP) vehicles with multiple rotors often operating in combination with fixed wing and tail surfaces.nbsp; These vehicles offer benefits in quietness, simplified flight control, redundancy, and conversion between vertical lift and forward flight.nbsp; However, they also pose considerable design challenges in terms of quantifying the effect of rotor-rotor and rotor-airframe interactions on performance, flight mechanics, vibration, and noise.nbsp; Computational models under development to analyze these characteristics lack enough high-quality, full-scale test data for validation.nbsp; To address this need, NASA is seeking design and execution of experiments on relevant, full-scale AAM systems that would generate aerodynamic and acoustic data supporting the development of these aircraft.nbsp; This proposal presents a plan to assist NASA in achieving this goal by filling a gap in contributions to a public domain body of high quality, full-scale, eVTOL aircraft aerodynamic and acoustic test data for the chief classes of DEP eVTOL aircraft under development; (1) multicopter, (2) vectored thrust and (3) lift+cruise vehicles.nbsp; The proposed plan is to complement our teamrsquo;s current acoustic testing of a full-scale multicopter vehicle with additional acoustic testing of a vectored thrust vehicle by adding a new major eVTOL aircraft developer to our team.nbsp; In Phase I, we will perform model predictions and ground tests for a full-scale vectored thrust vehicle.nbsp; Phase II will see acoustic flight tests of the vectored thrust vehicle that will complement ongoing multicopter and lift+cruise vehicle acoustic flight tests being carried out in parallel efforts

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

271 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $78,620,383. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation, Department of Health and Human Services, Department of Agriculture

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.