Helicopter Rotor Blade Balancing via Density and Contour Scanning
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Solution Overview
Problem
Current methods for balancing helicopter rotor blades, particularly in terms of weight distribution and aerodynamic balance, are inefficient and time-consuming, requiring extensive static and dynamic testing, and are challenging when dealing with composite materials used in modern rotor blades.
Innovation Solution
The use of computer densitometry and photogrammetry systems to process density and surface contour data, combined with dynamic testing equipment, to predict and adjust the weight and aerodynamic balance of rotor blades, potentially reducing the need for extensive trial-and-error testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static and dynamic testing methods are used to balance rotor blades, then weight distribution and aerodynamic balance can be achieved, but the process becomes extremely time-consuming and requires extensive trial-and-error testing
Solution Approach 1:
The patent applies preliminary action by using computer densitometry and photogrammetry systems to scan and analyze rotor blade density and surface contour data before actual balancing operations. This allows the system to predict weight distribution and aerodynamic balance characteristics in advance, determining optimal balance weight positions and trim tab angles before physical testing begins, thereby eliminating extensive trial-and-error testing
Solution Approach 2:
The patent replaces traditional mechanical testing systems with computer-based imaging and analysis systems. Instead of relying on physical static and dynamic testing equipment to determine balance characteristics, the system uses computer densitometry to measure density distribution and photogrammetry to capture surface contours, then processes this data computationally to predict balancing requirements, significantly reducing the need for iterative mechanical testing
2Measurement precision
If extensive static and dynamic testing is performed to achieve optimal rotor blade balance, then accurate weight distribution can be determined, but the complexity of the testing equipment and procedures increases significantly
Solution Approach 1:
The patent replaces complex mechanical testing equipment with computer-based imaging systems. The computer densitometry system uses X-ray or gamma radiation to measure density distribution, and the photogrammetry system uses optical imaging to capture surface contours. These non-contact, computer-based measurement systems eliminate the need for complex mechanical testing apparatus while providing accurate balance measurement data
Solution Approach 2:
The patent creates digital copies of the rotor blade's density distribution and surface contour through computer imaging. Instead of physically manipulating the blade through complex testing equipment, the system creates accurate digital models (density maps and surface contour maps) that can be analyzed computationally to determine balance characteristics, simplifying the overall measurement process
3Manufacturing precision
If traditional trial-and-error methods are used for rotor blade balancing, then balance adjustments can be made, but the number of tests required increases maintenance costs and reduces productivity
Solution Approach 1:
The patent determines optimal balance weight positions and trim tab angles through computer analysis of density and surface contour data before actual balancing operations. This preliminary determination of precise adjustment requirements eliminates the need for multiple iterative tests, allowing balance adjustments to be made correctly on the first attempt, thereby increasing productivity while maintaining high precision
Solution Approach 2:
The patent implements a feedback loop where computer densitometry and photogrammetry systems continuously monitor density distribution and surface contour, compare measurements against target specifications, and provide feedback for adjusting balance weights and trim tabs. This closed-loop control system ensures precise balance adjustments are made based on actual measured data rather than trial-and-error guessing, improving both precision and productivity
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 allows for more precise and efficient balancing of rotor blades, potentially reducing the time and number of tests required to achieve optimal balance, improving flight performance and reducing maintenance costs.
Implementation Method 1
processing density data associated with a rotor blade to be balanced... scanning the rotor blade, such as with a computer densitometry system, computer tomography system, or an X-ray computed tomography system
Implementation Method 2
processing surface contour data associated with a rotor blade to be balanced... scanning the rotor blade, such as with a photogrammetry system
Data Source
AI summary
Methods and systems for balancing helicopter rotor blades are disclosed. In some examples, density data of a rotor blade may be acquired by scanning the rotor blade. In some examples, surface contour data of a rotor blade may be acquired by scanning the rotor blade. In some examples, simulations may be performed to predict flight data associated with a modeled rotor blade. In some examples, a database may be referenced to predict a desired weight balance and/or a desired aerodynamic balance of a rotor blade.