Aircraft Corrosion Risk Assessment via Sensor Networks
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Solution Overview
Problem
Traditional methods for assessing aircraft corrosion risk, such as using flight hours or calendar time, are inaccurate, leading to unnecessary frequent inspections and increased maintenance costs, as they do not effectively track the likelihood of corrosion.
Innovation Solution
A system and method that utilize a network of sensors on an aircraft to assess corrosion risk by measuring environmental and corrosion data, processing it to determine corrosion stress, and comparing it to pre-determined allowable stress, allowing for condition-based maintenance by analyzing component-by-component corrosion risk and recommending maintenance actions based on actual structural conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods using flight hours or calendar time are used to assess corrosion risk, then the assessment process is simple, but the accuracy of corrosion risk tracking is poor
Solution Approach 1:
The patent segments the corrosion risk assessment into multiple independent sensor nodes distributed at different locations on the aircraft structure. Each sensor node independently measures local environmental parameters (temperature, humidity, salt exposure) and corrosion indicators, allowing for location-specific corrosion risk assessment rather than using a single uniform method for the entire aircraft. This segmentation enables accurate tracking of corrosion risk at each critical location while maintaining manageable complexity through modular sensor units.
2Reliability
If frequent inspections are conducted to ensure safety due to inaccurate corrosion tracking, then safety is maintained, but maintenance costs and time consumption increase
Solution Approach 1:
The patent implements continuous feedback through sensor nodes that constantly monitor environmental conditions and corrosion indicators, transmitting data to a central system. This real-time feedback enables dynamic adjustment of inspection schedules based on actual corrosion risk levels at each location. When corrosion risk is low, inspections can be spaced out; when risk increases, the system automatically triggers more frequent monitoring or inspection, thereby maintaining safety while reducing unnecessary inspections and associated time losses.
3Reliability
If frequent inspections are conducted to ensure safety, then corrosion detection reliability is improved, but maintenance costs increase
Solution Approach 1:
The patent employs preliminary action by deploying sensor nodes that continuously monitor corrosion indicators before significant corrosion damage occurs. The system detects early signs of corrosion through environmental parameter tracking and material response measurements, allowing for preventive maintenance scheduling. This preliminary detection capability maintains high corrosion detection reliability by identifying issues early while reducing overall maintenance costs by addressing problems before they require expensive repairs or full inspections.
Data Source
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AI summary
A method of assessing airframe corrosion risk includes determining a component corrosion stress based on data from at least one of a corrosivity sensor, an aircraft exposure history, a climate database, or an aircraft configuration. The method includes generating a component corrosion risk based on the determined component corrosion stress. An accumulated component corrosion risk is calculated based on the component corrosion risk and a historical component corrosion risk. An airframe corrosion risk is determined based on the accumulated component corrosion risk.