SBIR/STTR Research Award

EXHAUST GENERATED NOISE MODELING

Award identifier 4311c8f0779739ccd4a4f4ea5f10ec94c12a10037bf48c88351c5edc33593f91Awarding agency Department of Defense · Army

Award amount

$49,883

Program and phase

SBIR · Phase I

Award year

1992

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Automated Analysis Corporation
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

MILITARY SYSTEMS POWERED BY INTERNAL COMBUSTION ENGINES EMIT NOISE FROM THE EXHAUST SYSTEM. THERE ARE TWO TYPES OF NOISE, AIRBORNE, DUE TO THE PRESSURE WAVE PROPAGATING THROUGH THE EXHAUST SYSTEM AND EXITING AT THE OUTLET AND STRUCTURE - BORNE, RADIATED FROM THE VIBRATING COMPONENTS OF THE EXHAUST SYSTEM. THE OBJECTIVE OF THIS PROJECT IS TO DEVELOP A COMPUTER CODE SIMULATING THE EXHAUST SYSTEM, AND PREDICTING ACCURATELY BOTH STRUCTURE - BORNE AND AIRBORNE NOISE. AN ELASTO - ACOUSTIC MODEL WILL BE DEVELOPED AND IMPLEMENTED IN COMPUTER CODE. THE EFFECTS OF MEAN FLOW, TEMPERATURE GRADIENT, AND MULTI-DIMENSIONALITY WILL BE ACCOUNTED FOR IN THE MODEL. EXPERIMENTAL MEASUREMENTS FROM AN EXHAUST SYSTEM WILL BE USED TO VALIDATE THE CODE. THE DEVELOPED SOFTWARE WILL BE A VALUABLE TOOL IN DESIGNING EXHAUST SYSTEMS WITH IMPROVED NOISE CHARACTERISTICS. IT WILL ALLOW THE STUDY OF DIFFERENT CONFIGURATIONS WITHOUT ACTUALLY CONSTRUCTING AND TESTING THEM. THIS WILL INCREASE THE EFFECTIVENESS IN DESIGNING EXHAUST SYSTEMS. IN THE FUTURE, THIS SOFTWARE CAN BE INCORPORATED INTO NOISE CONTROL TECHNOLOGIES FOR DESIGNING IMPROVED EXHAUST SYSTEMS. ACTIVE NOISE CONTROL, ADAPTIVE EXHAUST SYSTEM DESIGN, AND MUFFLER SHAPE OPTIMIZATION, ARE AREAS WHERE THE DEVELOPED SOFTWARE CAN BE APPLIED.

Technology keywords

Not reported

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.