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Process Compensated Resonance Testing for Condition-Based Maintenance Plus for Wheel and Brake System Components

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-P-0228
Agency Tracking Number: FX192-SO1-0081
Amount: $49,379.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF193-CSO1
Solicitation Number: DoD SBIR X19.2
Timeline
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-12
Award End Date (Contract End Date): 2020-12-12
Small Business Information
8916 Adams St. NE
Albuquerque, NM 87113
United States
DUNS: 800669884
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Julieanne Heffernan
 Application Engineer
 (505) 492-2523
 jheffernan@vibrantndt.com
Business Contact
 Eric Biedermann
Phone: (505) 338-2576
Email: ebiedermann@vibrantndt.com
Research Institution
N/A
Abstract

Vibrant Corporation proposes to apply a Condition-Based Maintenance Plus (CBM+) program based on Process Compensated Resonance Testing (PCRT), a commercially-proven quantitative nondestructive evaluation method, to sustainment of wheel and brake components for DoD aircraft. The DoD bases major wheel and brake overhaul on a fixed schedule rather than an assessment of part condition. Ninety-three percent of Air Force wheels at major overhaul are returned to service with no defects found. The cost and environmental impact of transporting, stripping, inspecting and recoating those 93% may not be necessary if a compelling CBM+ solution, combined with faster, more accurate inspection methods, can be implemented to optimize life management. PCRT offers a 90% reduction in inspection time with an automated, objective result. PCRT requires no part preparation or hazardous waste, and it accurately detects surface and sub-surface defects. PCRT measures the resonance frequencies of a part and analyses them with machine learning tools to determine if a part is acceptable. A CBM+ approach based on PCRT uses component resonance frequency data in concert with operational data from aircraft, like the KC-46 tanker (the pilot application), in a Big Data analysis to make decisions about component serviceability, service interval length, and total service life.

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

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