A Finite Element-Based Acoustic Engineering Design Program for Advancements in Passive Noise Reduction Performance of Helmet Mounted Noise Defenders

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-03-C-0248
Agency Tracking Number: N022-0520
Amount: $749,888.00
Phase: Phase II
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1700 Kraft Drive, Suite 2350, Blacksburg, VA, 24060
DUNS: 364131011
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Saunders
 (540) 951-1284
Business Contact
 Michael Vaudrey
Title: Vice-President
Phone: (540) 951-1284
Email: mike@adaptivetechinc.com
Research Institution
The use of finite element analysis (FEA) modeling techniques to model both single hearing protection and double hearing protection noise attenuation will be refined during this Phase II program. Physically realistic, three-dimensional models ofcircumaural earcups and custom PVC earplugs will be created using the ABAQUS FEA software and coupled to fluid models of the ear canal geometries for a variety of users. The FEA model results will be made available for comparisons to MIRE test dataacquired for both single and double hearing protection device (HPD) combinations of the earcup and earplug devices. This project extends the successful Phase I project which initiated first-generation FEA model results. Those results were validated usingexperimental determinations of material transmission loss, vibration testing, and testing of both structural-acoustic and interior acoustic responses for the HPD configurations. The ultimate goals for the Phase II FEA modeling program are to finalizeprioritization of all noise attenuation mechanisms and to utilize the FEA models for identifying advanced state-of-the-art performance for HPD's. The anticipated benefits are the creation of a modeling data base the U.S. Navy can use for futureconsiderations of proposed revisions to circumaural headsets. The development of accurate FEA models will allow computational modeling, versus more expensive experimental investigations, of headset innovations proposed in future years. This will be asubstantial cost savings to the government. State-of-the-art headset technologies will be identified using the FEA modeling tools.

* information listed above is at the time of submission.

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