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Acoustic Prediction/Measurement Tool

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
57025
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
000226
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
AI Signal Research, Inc.
3411 Triana Blvd. Huntsville, AL 35805 0464
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2002
Title: Acoustic Prediction/Measurement Tool
Agency: NASA
Contract: NAS13-02018
Award Amount: $599,060.00
 

Abstract:

The proposed innovative analysis tool is driven by the need to integrate both analytical and experimental techniques when performing an experiment of spacecraft launch. When available, this tool provides an acoustic engineer access to both the experimental data being measured and analytical predictions that are derived from empirical models and a database. Thus, the proposed tool takes advantage of an existing database that includes pertinent extensive Computational Fluid Dynamics (CFD) data. As data are being recorded, the tool generates acoustic spectra at locations that are not part of the experimental setup to provide in-situ prediction. Furthermore, this high-level analysis tool improves the quality of the experimental data by detecting potential problems as the data is being taken; hence, the engineer can intervene in the process to eliminate anomalies or improve results. The analytical prediction tool, once calibrated, can be used to predict acoustic spectra during launch at various locations on and around the spacecraft. These acoustic load predictions can then be used for structural dynamic analysis. The proposed tool incorporates several input parameters that an analyst can change to simulate or eliminate perturbations in the experimental conditions. This flexibility helps determine the sensitivity of the measured experimental results to various parameters.

Principal Investigator:

Wade Dorland
Senior Program Manager
2565510008
wdorland@aisignal.com

Business Contact:

Silvio D'Orazio
Vice President
2565510008
jjong@aisignal.com
Small Business Information at Submission:

AI Signal Research, Inc.
3411 Triana Blvd. Huntsville, AL 35805

EIN/Tax ID: 631022675
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No