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Innovative Unified Damage Mechanisms-Based Model to Predict Remaining Useful Life for Rotorcraft Structures

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-14-C-0349
Agency Tracking Number: N14A-002-0270
Amount: $80,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N14A-T002
Solicitation Number: 2014.A
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-09-09
Award End Date (Contract End Date): 2015-04-09
Small Business Information
5032 S. Ash Avenue, Ste. 101
Tempe, AZ -
United States
DUNS: 116749289
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stanley Desjardins
 CEO/Chief Engineer
 (480) 820-2032
 stan.desjardins@safeinc.us
Business Contact
 Dale Kennedy
Title: President
Phone: (480) 820-2032
Email: dale.kennedy@safeinc.us
Research Institution
 University of Memphis
 Gary Qi
 
315 Administration Bldg.
Memphis, TN 38152-
United States

 (901) 678-2533
 Nonprofit College or University
Abstract

A model for structural health measurement is desired that is capable of assessing the accumulated damage and remaining useful life of components post-flight. This model will eliminate the need for load tracking during flight and prevent the additional weight and complexity of components utilized during flight. Safe is partnering with researchers at University of Memphis for this work to relate the current level of accumulated damage in a component/s to the remaining useful life of the component/s. There are multiple technologies available for measuring the amount of accumulated damage in a component, such as acoustic emissions, surface temperature, ultrasound, and electromagnetic readings. Safe"s research partners at University of Memphis have demonstrated that acoustic emission technology provides the clearest signal transmission when a damage event occurs. They have established a data-enabled approach to quantify random damage of materials and structures by constructing a measurable multi-variate. This variate can be analyzed by means of mathematical statistics, allowing for data-enabled decision-making concerning material failure. The proposed program will expand the applicability of the already developed model to include additional materials of interest concerning military rotorcraft, as well as refine the model/s to include additional geometries (current models are limited to laboratory samples.)

* Information listed above is at the time of submission. *

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