SBIR-STTR Award

Acoustic Prediction/Measurement Tool
Award last edited on: 3/12/2002

Sponsored Program
SBIR
Awarding Agency
NASA : DRFC
Total Award Amount
$670,000
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Silvio D'Orazio

Company Information

AI Signal Research Inc (AKA: ASRI)

2001 Nichols Drive SW
Huntsville, AL 35802
   (256) 551-0008
   asri@aisignal.com
   www.aisignal.com
Location: Single
Congr. District: 05
County: Madison

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2000
Phase I Amount
$70,000
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.Potential Commercial ApplicationsOnce this method has been developed, coded, and tested, it has strong commercial potential. Broad marketability arises from the fact that this method provides both spacecraft and aircraft designers a highly useful tool to analyze acoustic data in real time and provide loads for structural analysis early in the design phase for a new vehicle. The method will be made available as a functional accessory module to an existing analysis product that evolved from earlier NASA SBIR work. This product, PC-SIGNAL(tm), has just become available for users. The commercial version of the new module will feature an extensive graphic user interface to enable users to apply it with minimum training and obtain results. The proposed module fills a long standing spacecraft/aircraft engineering void. Heretofore, surface acoustic forcing functions were hard to synthesize because no combination of analysis techniques and test data integration was available for this purpose.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2001
Phase II Amount
$600,000
The Acoustic Prediction/Measurement Tool (APMT) is an innovative approach to integrate both analytical and experimental techniques when performing a rocket-plume investigation. APMT provides an acoustician access to both experimental data and analytical predictions that are derived from empirical models and a database that includes pertinent extensive Computational Fluid Dynamics (CFD) data. Before, during or after measurements are recorded, the APMT generates additional acoustic spectra at locations that are not part of the experimental setup. Because the prediction solutions are obtained from a detailed, refined computational model and empirical analysis, the predicted values are very accurate. This accuracy leads to improved quality of the experimental data by disclosing measurement anomalies during data acquisition. Thus, an engineer can intervene immediately to improve results. The analytical prediction model, once calibrated, can predict acoustic spectra during a static test or launch at various locations on and around the spacecraft, ground support equipment, or support facilities. These predictions can then be used for structural dynamic analysis to evaluate effects of the plume acoustical environment. APMT includes several input parameters that can be varied to simulate or eliminate perturbations in the experiment. This flexibility helps determine the sensitivity of the measured results to various parameters. POTENTIAL COMMERCIAL APPLICATIONS Once APMT is developed, coded, and tested, it has immediate commercial potential in aeronautical and space industries. The tool's commercial appeal arises because it provides both spacecraft and aircraft designers the ability to obtain acoustic spectra quickly and to use these loads for structural analysis early in the design phase for a new vehicle. Not only can APMT be marketed both as a stand-alone product but the software can be distributed as a functional accessory module to an existing data-analysis product that evolved from earlier NASA SBIR work. This product, PC-SIGNAL', has just become available for users. The commercial version of the new module will feature an extensive graphic user interface to enable users to apply it with minimum training to obtain results. The proposed software fills a long-standing spacecraft/aircraft engineering void. Heretofore, surface acoustic forcing functions were hard to synthesize because no combination of analysis techniques and test data integration was available for this purpose