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Self-powered Multi-parameter Wireless Sensor Network for 5XXX-Series Aluminum…

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
N103-215-0631
Solicitation Year:
2010
Solicitation Topic Code:
N103-215
Solicitation Number:
2010.3
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive suite 400 Rockville, MD 20855-2735
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: Self-powered Multi-parameter Wireless Sensor Network for 5XXX-Series Aluminum Alloy Structural Health Monitoring
Agency: DOD
Contract: N00167-11-P-0198
Award Amount: $80,000.00
 

Abstract:

5XXX-series aluminum alloys have high strength-to-weight ratios, good as-welded strength and excellent corrosion resistance; they are used as new structural materials in Navy ships. Sensitization in 5XXX aluminum alloys is a problem characterized by the formation of beta phase (Al3Mg2) at grain boundaries, which increases the susceptibility of alloys to intergranular corrosion (IGC) and intergranular stress-corrosion cracking (IGSCC). The current method for quantifying the Degree of Sensitization (DoS) of AA5XXX alloys is the ASTM G67 Nitric Acid Mass Loss Test. However, this method is destructive and time-consuming. To validate the models for determining and predicting structural health and to alert the platform operators of potentially disabling or damaging events as soon as possible, a method for real-time monitoring of DoS and related physical property degradations, along with the measurements of environmental conditions should be developed. To address this challenge, Intelligent Automation, Inc. (IAI) along with Prof. Robert B. Pond, Jr. from Loyola College propose to develop a self-powered multi-parameter wireless smart sensor network (Wi-DoS) for real-time monitoring the DoS and the environmental conditions. The key innovation of this effort is the combination of the ultrasonic DoS and multi-parameter environmental measurement, IAI"s wireless smart sensor network platform, and energy harvesting technologies.

Principal Investigator:

Dan Xiang
PM for Sensor Technologie
(301) 294-4160
dxiang@i-a-i.com

Business Contact:

Mark James
Director, Contracts and P
(301) 294-5221
mjames@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No