SBIR/STTR Research Award

Improved Noise Attenuation Foam for In the Ear Hearing and Noise Devices

Award identifier 0b0b526b459567cb923bf0c6aa4d08e0b17ac2c61232a795db877dc28de3ec8bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$108,750

Program and phase

SBIR · Phase I

Award year

2011

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 Health and Human Services
Branch
National Institutes of Health
Recipient company
HEARING COMPONENTS, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
H2N2WUDA6H78
Solicitation number
PA10-050
Topic code
NIDCD

Research abstract

DESCRIPTION (provided by applicant): Viscoelastic foam earplugs are commonly used for personal hearing protection to help reduce the incidence of hearing loss; however, many work environments exist where the protection from currently available earplugsis insufficient. In addition, the ability of existing foam earplugs to attenuate low frequency energy is relatively poor. Pilot experiments were able to produce viscoelastic foam constructions of substantially higher controlled structure than believed tobe found in currently available viscoelastic foam earplugs. Even with minimal optimization, this structure contributed to substantially higher overall attenuation gt3 dB and some very significant low frequency (250-1000 Hz) attenuation improvements; gt 4 dB. Thus, an opportunity exists to improve the attenuation resulting from the commercial production of viscoelastic foam earplugs. An increase of 3dB attenuation allows the user to double their exposure time in the sound field for which the hearing protector is rated. This Phase I project will be divided into three stages: 1. Verifying the results from the pilot samples. The results of our pilot experiments will be verified through collaboration with acoustic experts. The comparative attenuation of the samples will be measured using an impedance tube measurement system. 2. Characterizing and comparing the foam structures of these new foams and existing commercial foam earplugs. The foam structures will be measured using mercury intrusion porosimetry, x-ray micro CT scanning, and microscopy. 3. Optimizing the foam structure by comparing attenuation of varied 'controlled structure foams'. The structures of the new foams will be varied using known techniques and the resulting effects on attenuation will be measured. PUBLIC HEALTH RELEVANCE: Daily many tens of millions of Americans have their hearing exposed to potentially damaging noise. Foam earplugs are inexpensive, comfortable and widely used; however, they do not always provide enough protection, especially in high-noise industrial and military work environments or in low frequency noise. Success with this research to improve foam attenuation at all frequencies will result in a more effective foam earplug, reducing incidence of hearing loss - the most common industrial injury.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

11 SBIR/STTR records share this UEI (1992–2023). Reported award amounts total $5,041,285. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services, Department of Defense

Agency intelligence

Department of Health and Human Services

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.