MARK G. MILLER, INC — Department of Defense SBIR Phase II: AF161-018
MARK G. MILLER, INC — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $586,023 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code AF161-018 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $586,023
- Agency
- Department of Defense · Air Force
- Program / Phase
- SBIR · Phase II
- Topic
- AF161-018
- Solicitation
- 16.1
- NAICS
- —
- Place of performance
- UT
- Period
- 2022-06-14 → 2023-06-08
Description
Landing gear manufacturing and overhaul/maintenance processes alter surface material properties that influence fatigue life. Many landing gear components currently in service have been overhauled or re-worked numerous times. The effect of these processes has not been accurately quantified in existing USAF landing gear fatigue models. As aging aircraft in the USAF fleet continue to be pushed beyond their originally designed service life, it has become increasingly more critical to develop fatigue analysis methods that characterize specific surface processing conditions. To address these issues, Select Engineering Services (SES) is developing the Material Assessment and Predictive Analysis (MAPA) tool. The MAPA tool integrates with current fatigue analysis software/procedures and provides for accurate predictions of the fatigue life reduction associated with landing gear material surface treatments. The current MAPA prototype is designed to function as a setup and execution tool for fatigue life simulations to bridge the gap between FEA software (e.g., Ansys) and the HBK Prenscia nCode DesignLife solver. Positive outcomes resulting from MAPA tool use include increased accuracy in fatigue life predictions, reduced risk in service life extensions for aging aircraft landing gear components, and the potential for improvements to overhaul processes that will reduce their negative impact on fatigue life.