Brake Cooling Time Estimation for Aircraft
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Solution Overview
Problem
Conventional brake temperature monitoring systems for aircraft only provide current temperature readings without indicating when the brakes and wheels will reach a safe temperature for take-off, leading to unnecessary delays and inefficient aircraft utilization.
Innovation Solution
A device and method that estimate the time required for brake assemblies to cool to a safe temperature using a processor, sensors, and logic to simulate temperature responses based on measured data, including environmental conditions, allowing for accurate prediction of when brakes and wheels will reach safe operating temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional brake temperature monitoring systems only provide current temperature readings, then the system complexity is low, but the loss of time increases due to unnecessary gate waiting
Solution Approach 1:
The system performs preliminary calculations to predict future brake temperature trends and estimates the time required to reach safe take-off temperatures. By computing cooling time estimates in advance based on current temperature, environmental conditions, and historical data, the system enables operators to make informed departure decisions without unnecessary waiting, directly reducing gate wait time while maintaining reasonable system complexity
Solution Approach 2:
The system introduces an intermediary computational layer that processes temperature sensor data, environmental inputs, and cooling models to generate predicted cooling time estimates. This intermediary processing layer acts as a mediator between raw temperature measurements and operational decisions, providing value-added information without requiring complete system redesign
2Measurement precision
If the aircraft waits 10-15 minutes after landing to ensure peak brake temperature is reached, then measurement precision is improved, but the loss of time increases
Solution Approach 1:
The system continuously monitors brake temperature and uses this feedback to update cooling time estimates in real-time. By comparing actual temperature measurements against predicted cooling curves, the system can determine when safe take-off temperatures are actually reached rather than waiting for fixed time periods, improving both measurement precision and reducing unnecessary waiting time
Solution Approach 2:
The system transitions from static fixed-time waiting protocols to dynamic, adaptive cooling time estimation. The cooling time estimate changes dynamically based on current brake temperature, environmental conditions, and measured cooling rates, allowing the system to optimize the balance between measurement accuracy and time efficiency for each specific situation
3Measurement precision
If environmental conditions are included in the temperature simulation, then the measurement precision of cooling time estimation is improved, but the device complexity increases
Solution Approach 1:
The system uses a universal cooling model that can process multiple types of environmental inputs (ambient temperature, wind speed, humidity) through a single integrated computational framework. This multi-functional approach allows the system to incorporate various environmental factors into the temperature simulation without requiring separate processing systems for each parameter, improving estimation accuracy while controlling complexity through unified data handling
Data Source
AI summary
A system and device for estimating an amount of time needed for a vehicle brake assembly to cool to a predetermined temperature includes a first input for receiving data indicative of a temperature of the brake assembly, a second input for receiving data indicative of at least one environmental condition that affects cooling of said brake assembly, a processor and memory, and logic stored in said memory and executable by said processor. The logic stored in memory includes logic that simulates a temperature response of the brake assembly based on the brake assembly temperature and the at least one environmental condition.