In Company News

Vibrant Corporation has been awarded a Small Business Innovation Research contract with the Air Force Research Laboratory (AFRL) at Wright-Patterson Air Force Base in Dayton, OH. The $150,000 contract requires Vibrant to determine the sensitivity of its resonant ultrasound spectroscopy (RUS) models and measurements to various sources of error. The knowledge gained from these studies will enable more accurate nondestructive evaluation (NDE) of critical aircraft and engine components for military and civil aerospace. For this program, Vibrant has partnered with Computational Tools of Gurnee, IL, an NDE modeling company.

“As we develop analytical and numerical modeling capabilities for RUS, it is critical to understand the relative contributions of sources of error so we can produce the most accurate results possible. This program is an excellent opportunity to do that,” said Vibrant Director of Technology Leanne Jauriqui. “Computational Tools has always provided outstanding modeling work on our other programs, and we’re excited to partner with them again.”

About Vibrant

Vibrant provides Process Compensated Resonance Testing services to the Aerospace and Power Generation industries worldwide through its facilities in the United States and Europe. PCRT applications range from quality assurance and process capability assessment for Original Equipment Manufacturers to in-service structural assessment and life monitoring for Maintenance, Repair, and Overhaul organizations. Vibrant is certified to AS9100 Rev C, and conducts testing in compliance with ASTM Standard Practice E-2534.

About Computational Tools

Computational Tools provides expertise and computational services for the development of advanced nondestructive evaluation techniques. Its areas of expertise include modeling in NDE and automated NDE signal classification. Computational Tools has extensive experience in modeling several NDE methods, including RUS. Its NDE modeling expertise includes identification of sources of error and quantification of uncertainty.


AFRL-approved for public release, case number 88ABW-2014-3999

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