Ultrasonic V-Scan Imaging for Wind Turbine Blade Defect Detection
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Solution Overview
Problem
Current non-destructive testing methods, such as X-ray Computed Tomography and traditional ultrasonic tests, are inadequate for reliably detecting and characterizing waviness and debonding in complex geometries of wind turbine blades, particularly due to their high costs, limited 3D visualization capabilities, and impracticality for on-site inspections.
Innovation Solution
The method involves using an ultrasonic transducer to collect B-scan and C-scan data, filtering out noise based on geometric information, and performing linear and nonlinear signal processing to generate a 'V-scan' image, which provides a 3D visualization of damage indices for voxels, enabling the detection and characterization of out-of-plane waviness and debonding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If X-ray Computed Tomography is used to detect waviness, then detection precision is improved, but cost and device complexity increase significantly
Solution Approach 1:
The patent replaces the mechanical X-ray CT system with an ultrasonic testing system that uses acoustic waves instead of electromagnetic radiation. This substitution maintains detection capability while eliminating the need for expensive, complex X-ray equipment and associated safety infrastructure, directly resolving the contradiction between detection precision and device complexity
Solution Approach 2:
The patent transforms the detection approach by changing from 2-D ultrasonic imaging parameters to 3-D volumetric parameters through voxel-based analysis. This parameter transformation enables comprehensive 3-D visualization of internal structures using ultrasonic technology, achieving detection precision comparable to CT without requiring X-ray equipment
2Device complexity
If traditional ultrasonic tests are used, then device complexity is reduced, but measurement precision for complex geometries deteriorates
Solution Approach 1:
The patent transitions from 2-D ultrasonic imaging (B-scans and C-scans) to 3-D volumetric imaging by dividing the inspection volume into voxels. This dimensional enhancement allows comprehensive characterization of complex geometries like waviness and debonding while maintaining the simplicity of ultrasonic equipment, resolving the contradiction between device complexity and measurement precision
Solution Approach 2:
The patent segments the continuous 3-D inspection volume into discrete voxels, enabling independent analysis of each volumetric element. This segmentation allows precise localization and characterization of defects in complex geometries using simple ultrasonic measurements, achieving high measurement precision without increasing device complexity
3Device complexity
If 2-D B-scan and C-scan images are used for visualization, then device complexity is reduced, but loss of information about 3-D structures increases
Solution Approach 1:
The patent adds the third dimension to ultrasonic imaging by creating a volumetric representation through voxel analysis. Instead of displaying separate 2-D B-scans and C-scans, the system integrates data into 3-D visualizations that preserve all spatial information about internal structures, eliminating information loss while maintaining equipment simplicity
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 enhances the detection and characterization of complex geometries like waviness and debonding, providing more accurate and practical non-destructive testing for wind turbine blades, improving structural integrity assessment without the need for expensive equipment or extensive safety precautions.
Implementation Method 1
directing at least one B-scan of a visually-inaccessible structure of the wind turbine blade by an ultrasonic transducer to collect B-scan data
Implementation Method 2
ultrasonic inspection of composite materials... detecting and characterization of features with complex geometry, such as waviness
Data Source
AI summary
A method of non-destructive testing includes locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component. The method also includes filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data. The method further includes performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data to generate a V-scan image. A method of non-destructive testing of a wind turbine blade and an ultrasound system are also disclosed.