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This contamination detection system was developed to identify and analyze fluid-fluid interactions in critical aerospace systems. Using advanced sensors and automated diagnostics, it enables early detection of cross-contamination events to prevent system failure and ensure mission continuity.

Contamination of fuel by engine oils is a significant cost to the Air Force when defueling, refueling, and servicing aircraft. One notable difficulty faced by flight line crews is identification and evaluation of fuel condition during these contamination events. FTL’s “FFC” (fluid / fluid contamination) detection system evaluates fuel on-site using UV-Vis-FTIR spectrometry, coupled with a sophisticated machine learning algorithm to quantify extent of contamination.

FTL’s spectroscopic algorithms have proven to be a powerful tool for analyzing known contaminants, but aircraft fuels and fluids have variations of both fuel/fluid base stock and additive formulations that lead to instability of spectral fingerprints. FTL’s FFC overcomes this with advanced spectrum analysis and AI-based classification software that classifies each contaminant’s spectral fingerprint in terms of prior data, becoming more intelligent as it encounters more real-world variation. FFC is portable, automatic, and quantifies hydraulic oil contamination accurately to 100 ppm contaminant by volume.

A group of four images that show how fluid flows and how to tell if it is contaminated
Date Project Started: 10/18/2019
Date Project Completed: 06/29/2020
Customer: Air Force
Grantor: AFRL