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Alpha Star Corporation SBIR Phase II Award, August 2020

A SBIR Phase II contract was awarded to Alpha Star Corporation in August, 2020 for $749,980.0 USD from the U.S. Department of Defense and United States Air Force.

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Contents

sbir.gov/node/1946405
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Alpha Star Corporation
Alpha Star Corporation
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Air Force
United States Air Force
0
Award Type
SBIR0
Contract Number (US Government)
FA8649-20-C-02950
Award Phase
Phase II0
Award Amount (USD)
749,9800
Date Awarded
August 31, 2020
0
End Date
August 31, 2022
0
Abstract

In Phase I, AlphaSTAR developed and partially validated an Integrated Computational Material Engineering (ICME): (i) APS Manufacturing Process, (ii) a DOE optimization capability that minimizes thermal conductivity(TC) and residual stress (RS) of metal/TBC thermal protection systems; and (iii) an ICME D&DT tool predicting damage and fracture evolutions that addressed TMF and RUL considering recession, oxidation, thermal growth oxidation (TGO), and debonding. In Phase II, AlphaSTAR will extend the ICME technology to ceramic/EBC including: (1) APS process development with (i) rumpling, (ii) thermodynamic CMAS reactions and (iii) and optimization of TC and RS and (2) D&DT optimization for extended RUL. Objective is to (1) optimize and extend exhaust nozzle remaining useful life (RUL) by maximizing manufacturing Air Plasma Spraying (APS) of environmental/thermal barrier coating (EBC/TBC) material systems; (2) optimize material performance within the substrate, bond/intermediate/top coat; and (3) perform Durability and Damage Tolerance (D&DT) analysis and optimization under thermal mechanical fatigue (TMF) in-service loading. Software will be extensively test validated for Ceramic/EBC and Metal/TBC systems: (a) RS using in-situ-coating properties sensor measurement; (b) Rig testing; TGO measurement, CMAS reactions, and TMF testing. Software will be made available to industry with training, tutorials, baseline/optimized models supported by validated results and material database.

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