SBIR/STTR Research Award

Design of Low Reynolds Number Rotors for UAS Applications

Award identifier 304bf6e1963fe53156e4631522a8dd73fe7771a7ba2ab79eb7123e97457a7f22Awarding agency Department of Defense · Army

Award amount

$507,414

Program and phase

SBIR · Phase II

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
COMBUSTION RESEARCH & FLOW TECHNOLOGY INC
Proposal award date
2020-03-12
Contract end date
2021-09-01
UEI
XGYZK5MHNJZ8
Solicitation number
15.2
Topic code
N152-100

Research abstract

Over the past few years, Unmanned Aircraft Systems (UAS) have evolved considerably and come to play an integral role in Department of Defense operations, seen by many as a transformational force multiplier providing reliable support in the execution of core Combatant Command (COCOM) missions in hostile environments. A large number of the designs revolve around multirotor configurations with Vertical Take-Off Landing (VTOL) capabilities providing a high degree of redundancy and reliability. However, the design of rotor blades used in these UAS/UAV drone configurations has, till recently, not received much attention and often comprise of simple airfoil shapes and planforms and are plagued by poor performance. The design of these rotors present challenges given that they operate in laminar and transitional low-Reynolds number flight regimes. In the proposed Phase II program, we aim to enhance our understanding by experimentally investigating transition and the development of laminar separation bubble in sectional airfoil designs; validating our analysis and design tools to reliably predict such phenomena and their deleterious effects on performance; optimize airfoil sections providing better lift-to-drag ratios in these regimes of low Reynolds numbers and consequently utilizing these airfoil shapes in propeller designs through optimal planform designs; analyzing and understanding the additional aerodynamic effects of propeller-propeller and propeller-fuselage interactions and altering the design of the airframe to minimize interactional systemic losses, evaluate vehicle performance including the noise from such propeller systems and finally provide a machine-learning interface that can be used to design propellers in the field based on mission requirements.

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

303 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $121,181,328. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation

Agency intelligence

Department of Defense

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