startup-tips
Sign in
OpenR&D programAuto-collected, not reviewed

Localization, Characterization, and Modeling of Freestream Disturbances in Hypersonic Wind Tunnels

🇺🇸 United States·U.S. Department of War — DARPA(Government)
Funding
Needs verification
Deadline
2026.10.21
D-14
Official noticeApplyOverseas applicants not eligible ExportPDF

Overview

What you need to judge this in 30 seconds

STTR · Phase: BOTH · Topic DPA26TZ06-DV006 · Solicitation 26.TZ

Hypersonic ground-test facilities are critical for evaluating aerodynamic forces, aerothermodynamic heating, and boundary-layer transition (BLT) behavior on high-speed flight vehicles. However, conventional hypersonic wind tunnels are plagued by high-intensity freestream noise present in the test section. Because these disturbances build, focus, and propagate downstream, the fundamental understanding of their evolution may require a potentially deep analysis within the upstream components of the facility. Historically, Laufer [1] established that nozzle-wall turbulent boundary layers radiate downstream-directed Mach waves, making them a principal source of freestream noise. However, especially in high-enthalpy and hypervelocity impulse facilities, the noise field may be further enhanced by complex upstream dynamics that are not optically accessible. Examples of focus areas include, but are not limited to: • Nozzle Throats and Walls (all tunnels): The extreme thermal and velocity gradients in the nozzle throat pose an opportunity for disturbance generation and initiation of turbulence over the nozzle walls. However, severe restricted throat geometry and high heat flux make optical diagnostic access virtually impossible. Diagnostics on tunnel walls are also very challenging although there are examples of previous successful attempts [12]. • Reflected-Shock Tunnels: Reservoir entropy, pressure fluctuations, and driver-gas contamination originate from the complex interaction between the reflected shock wave and the shock tube wall boundary layer [5, 6]. Furthermore, upstream diaphragm particulate-laden flow [7] acts as a continuous source of premature model transition downstream. • Expansion Tubes and Tunnels: Subject to driver-gas acoustic focusing [9, 10], where upstream driver unsteadiness is focused directly into the test gas when sound speed ratios fall into unfavorable ranges. This is exacerbated by secondary diaphragm rupture wave systems [3, 11] propagating from upstream. Characterizing these regions is exceptionally difficult because standard optical diagnostic techniques (such as Femtosecond Laser Electronic Excitation Tagging (FLEET), Focused Laser Differential Interferometry (FLDI), or Rayleigh scattering) require optical-grade line-of-sight window access, which may not withstand the extreme pressures, temperatures, or geometric constraints of regions such as the driver, reservoir, or nozzle throat. To bridge this gap, this STTR topic focuses on the development of specialized diagnostics, informed by multi-fidelity computational flow models ranging in scope from system-scale to component-specific. Collaborative proposals from Small Business Concerns (SBCs) must address the following technical pillars: • Upstream Noise Characterization & Modeling: Modeling facility-specific noise generation phenomena such as transient or statistically steady boundary-layer effects, driver-gas acoustic focusing, diaphragm bursting, starting from the most upstream location ultimately responsible for noise contamination of the test section. • Diagnostics for Non-Optical Zones: Developing and demonstrating novel non-intrusive or minimally intrusive diagnostic systems for flow and acoustic characterization, capable of operating without traditional optical windows. Promising approaches include but are not limited to flush-mounted high-frequency pressure/thermal sensor arrays, micro-bore fiber-optic probes, laser-based acoustic sensing, and/or hybrid data-assimilation techniques that computationally reconstruct upstream flow states from sparse wall measurements.

Category
R&D
Industry
Needs verification
Technology
Needs verification
Target stage
Needs verification
Project duration
Needs verification
Estimated preparation
Needs verification

Funding

Award size and how it is paid

Award range
Needs verification
Currency
USD
Total programme budget
Needs verification
Support type
Needs verification
Co-funding
Needs verification
Matching fund
Needs verification
Disbursement
Needs verification
Note
-

Eligibility

Can we actually apply?

Check whether we can applyEnter where you are incorporated, how old you are and how big — we compare it against this announcement and tell you what would unlock it. No sign-in needed.

SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements

Company age
Needs verification
Employees
0명 ~ 500명
Revenue limits
Needs verification
Consortium
Needs verification

Location Requirements

Geography and legal-entity conditions

Primary country
🇺🇸 United States
Also eligible
None
Foreign companies
No
Local entity
Required
Location condition
미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).

Required Documents

Required/optional · issuer · difficulty · validity · cautions

Document requirements were not captured (needs verification). Check the official announcement.

Application Process

How you apply

Application process not captured.

Evaluation

Review process and criteria

Evaluation process not captured.

Timeline

Announcement → intake → review → agreement → execution

Process steps were not captured.

Equity & Financial Terms

Equity, loans and contract conditions

Equity required
Needs verification
Loan
Non-dilutive grant
Duplicate funding
Needs verification
IP ownership
Needs verification
Deliverable ownership
Needs verification
Exclusivity
Needs verification
Right of first refusal
Needs verification
Audit & settlement
Needs verification

Risk Intelligence

Should we apply at all? — five dimensions plus an overall score (lower is safer)

No risk assessment yet. Re-analyse from Admin.

IP / Idea Protection

How much of your technology and idea you must disclose

No IP assessment yet.

AI Analysis

Pros · cons · difficulty · competition · attractiveness

Preparation difficultyNeeds verification

From paperwork and review stages

Competition (estimate)Needs verification

Heuristic from award size and type

AttractivenessNeeds verification

Amount, terms and IP combined

Overall riskNeeds verification

Weighted average of five dimensions

Pros
  • Needs verification
Cons
  • Needs verification
Cautions
  • Nothing flagged

Similar Programs

Comparable by type, country and technology

Source & Provenance

Every value carries its source URL and fetch time

Last fetched
2026.10.07
Human review
Not reviewed — check the official announcement
First seen
2026.10.07
Data status
Auto-collected, not reviewed
AI enrichment
Needs verification
Snapshot history
  • · 2h ago — 최초 수집 (00a22c5d)