SATPC0035635 Tab 04 4 SOW_Redacted.pdf
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- 80NSSC24875634Q
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The document provided is a Statement of Work (SOW) related to renewing the maintenance agreement for the FINE/Turbo software used by the National Aeronautics and Space Administration (NASA) Advanced Air Transport Technology (AATT) and Commercial Supersonic Technology (CST) projects. The FINE/Turbo software is used for steady and unsteady aerodynamic simulations necessary for fan, open fan, open rotor, and turbomachinery noise prediction. The simulation results are compared with wind tunnel and rig data to assess acoustic performance of candidate fan and open rotor designs, and to identify potential shortcomings in prediction tools and devise model/code improvements.
The related federal contract opportunity is a sole source procurement for a Maintenance contract for the FINE/Turbo software, which will be awarded to the incumbent provider, CADENCE DESIGN SYSTEMS INC. The government intends to acquire commercial items and services using FAR Part 12 and Part 13 procedures. Interested organizations may submit their capabilities and qualifications by 8/20/2024 for the government to determine if a competitive procurement is warranted. The primary point of contact is Laura Quave, Procurement Specialist.
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Other files
| File | Type | Posted |
|---|---|---|
| SATPC0035635 Tab 07 Capability Statement Commerical.pdf |
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June 28, 2024
Statement of Work in Relation to Renewing the Maintenance Agreement for the FINE/Turbo Software
As part of the planned and ongoing research activities under the NASA Advanced Air Transport
Technology (AATT) Project and the Commercial Supersonic Technology (CST) Project, the
FINE/Turbo software is used for steady and unsteady aerodynamic simulations that are necessary for fan, open fan, open rotor, and turbomachinery noise prediction. The simulation results are compared with wind tunnel and rig data when possible. Ultimately, in conjunction with NASA fan and open rotor noise prediction codes, these simulations are used to (1) assess acoustic performance of candidate fan and open rotor designs, and (2) identify potential shortcomings in prediction tools and devise model/ code improvements that may be needed.
NASA Glenn Research Center
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