Blade Tip Clearance Control by Operating Mode Objectives
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Solution Overview
Problem
Current gas turbine engine tip clearance control systems primarily focus on minimizing blade tip clearances for efficiency, but do not consider broader operational objectives such as fuel efficiency, life-cycle costs, and noise reduction, which can lead to suboptimal performance and increased maintenance.
Innovation Solution
An objective-driven system for blade tip clearance control that adjusts the distance between the blade and the blade outer air seal and engine climb thrust rating based on predefined operational modes, such as high-performance, fuel-efficiency, and life-cycle cost-minimization modes, using an optimization loop that incorporates real-time input and output variables to optimize engine operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tip clearance is minimized to enhance engine performance, then engine efficiency is improved, but engine life and reliability deteriorate due to increased stress and wear
Solution Approach 1:
The system dynamically adjusts blade tip clearance based on real-time operating conditions and selected operational modes. The clearance control is not static but adapts continuously, allowing the engine to optimize between efficiency and reliability requirements for different flight phases and operational objectives.
Solution Approach 2:
The system changes the physical parameter of blade tip clearance to match different operational objectives. By modulating clearance as a variable parameter rather than a fixed dimension, the system can optimize engine performance for specific modes while managing wear and stress accumulation over the engine lifecycle.
2Power
If tip clearance is minimized for high-performance mode, then engine thrust is improved, but fuel consumption increases due to suboptimal operation in other modes
Solution Approach 1:
The system dynamically adjusts blade tip clearance based on real-time operating conditions and selected operational modes. The clearance control is not static but adapts continuously, allowing the engine to optimize between efficiency and reliability requirements for different flight phases and operational objectives.
Solution Approach 2:
The system changes the physical parameter of blade tip clearance to match different operational objectives. By modulating clearance as a variable parameter rather than a fixed dimension, the system can optimize engine performance for specific modes while managing wear and stress accumulation over the engine lifecycle.
3Device complexity
If a single clearance control strategy is used for all operational modes, then system complexity is reduced, but adaptability to different operational objectives deteriorates
Solution Approach 1:
The clearance control system is designed with multi-functionality to handle diverse operational objectives. It can operate in different modes (high-performance, fuel-efficiency, life-cycle cost-minimization, noise reduction) by adjusting clearance settings, making a single system capable of serving multiple functions without requiring separate control systems for each mode.
Solution Approach 2:
The system dynamically adjusts blade tip clearance based on real-time operating conditions and selected operational modes. The clearance control is not static but adapts continuously, allowing the engine to optimize between efficiency and reliability requirements for different flight phases and operational objectives.
Data Source
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Figure 3A~3B
AI summary
An objective-driven system (400) for blade tip clearance control may comprise a BOAS (106) and a controller (334) in operable communication with the BOAS (106). A tangible, non-transitory memory (416) may be configured to communicate with the controller (334), the tangible, non-transitory memory (416) may have instructions stored thereon that, in response to execution by the controller (334), cause the controller (334) to perform operations comprising receiving an operating objective definition, and modulating a location of the BOAS (106) using an optimization loop comprising the operating objective definition, input vector variables, and output vector variables driven by the input vector variables.