Aircraft Engine Lubricant Particle Analysis for Coking Diagnosis
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Solution Overview
Problem
Current methods for diagnosing engine conditions, such as oil coking in aircraft engines, face challenges including lack of repeatability, inability to analyze particles greater than 5 μm in diameter, and failure to detect coking phenomena effectively.
Innovation Solution
A method and system that involve obtaining a lubricating fluid sample, filtering particles, directing an excitation beam to detect energy levels, determining the level of coking by comparing detected and expected energy levels, and diagnosing engine conditions based on this analysis, using a combination of scanning electron microscopy and energy dispersive x-ray spectroscopy to analyze particles and estimate carbon deposits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical atomic spectroscopy is used for analyzing lubricant, then elemental analysis can be performed, but repeatability among different equipment is poor and particles greater than 5 μm cannot be analyzed
Solution Approach 1:
The patent replaces optical atomic spectroscopy with a combination of scanning electron microscopy (SEM) and energy dispersive x-ray spectroscopy (EDS). This substitution enables particle-by-particle analysis while maintaining elemental analysis capabilities, thereby improving repeatability across different equipment through standardized digital imaging and spectral analysis protocols.
Solution Approach 2:
The patent divides the lubricant sample into individual particles for analysis. By filtering the lubricant to isolate particles greater than 5 μm and analyzing them individually using SEM/EDS, the system achieves both high measurement precision and improved reliability through consistent particle-level characterization rather than bulk analysis.
2Quantity of substance
If optical atomic spectroscopy is used for total oil sample analysis, then elemental composition can be determined, but individual particles cannot be characterized
Solution Approach 1:
The patent segments the lubricant sample into individual particles and analyzes each particle separately using SEM/EDS. This approach enables simultaneous determination of elemental composition at the particle level, providing both bulk quantity information and individual particle characterization that optical atomic spectroscopy cannot achieve.
Solution Approach 2:
The patent transitions from bulk liquid analysis to particle-level analysis by filtering and examining individual particles. This dimensional shift from macroscopic sample analysis to microscopic particle analysis enables precise characterization of individual particles while still providing overall compositional data.
3Quantity of substance
If conventional methods are used for particle analysis, then small particles can be detected, but particles greater than 5 μm in diameter cannot be analyzed
Solution Approach 1:
The patent employs SEM/EDS analysis which provides universal capability to detect and characterize particles across a wide size range, from sub-micron to millimeter scale. This multi-functional approach replaces conventional methods that are limited to specific particle size ranges, enabling analysis of both small and large particles with a single system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate detection and diagnosis of engine coking levels, predicting premature wear and maintenance needs, and identifying failure mechanisms in gas turbine engines, providing advanced detection capabilities for abnormal engine behavior.
Implementation Method 1
directing an excitation beam towards the particles, detecting an energy level emitted from the particles in response to the excitation beam
Data Source
AI summary
There is provided a method and system for diagnosing a condition of an aircraft engine. The method comprises obtaining a sample of lubricating fluid from the engine, filtering the sample to obtain a plurality of particles from the lubricating fluid, directing an excitation beam towards the particles, detecting an energy level emitted from the particles in response to the excitation beam, determining a level of coking in the lubricating fluid based on a difference between the energy level as detected and an expected energy level, and diagnosing a condition of the engine based on the level of coking in the lubricating fluid.