Subsurface defect detecting device for cylindrical components and method thereof
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting the depth and width of subsurface defects in cylindrical components due to geometric dispersion caused by curved surfaces, leading to reduced accuracy and inability to measure defect width effectively.
Innovation Solution
The proposed subsurface defect detecting device and method utilize laser ultrasound technology with an optimized relative angle between detection and excitation lasers to improve detection accuracy. The device includes an electric rotating platform, three-jaw chuck, linear supporting bases, and telescopic rods, allowing for 360° detection and calculation of defect width using peak values of Rayleigh waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser ultrasound is used to detect subsurface defects in cylindrical components, then non-contact and high-precision detection is achieved, but geometric dispersion caused by curved surfaces results in continuous changes in Rayleigh wave waveform, reducing depth and location accuracy
Solution Approach 1:
The patent changes the detection parameter by optimizing the relative angle between the detection laser and excitation laser. By adjusting this angle, the Rayleigh wave can be made to exhibit single polarity, which reduces the influence of conversion waves at the subsurface defect location and improves detection accuracy despite the curved surface geometry.
Solution Approach 2:
The patent makes the detection system dynamic by allowing adjustment of the relative angle between detection and excitation lasers. This dynamic adjustment enables optimization of the Rayleigh wave characteristics to compensate for the geometric dispersion caused by the curved cylindrical surface.
2Measurement precision
If traditional ultrasonic testing is used, then defect detection is possible, but it requires coupling media and may experience signal distortion on rough surfaces
Solution Approach 1:
The patent replaces the mechanical ultrasonic testing system that requires coupling media with a laser ultrasound system. The laser ultrasound method uses optical energy to generate and detect ultrasonic waves without requiring physical contact or coupling agents, thereby eliminating the need for coupling media and reducing signal distortion on rough surfaces.
Solution Approach 2:
The patent uses pulsed laser excitation to generate laser ultrasound signals. The periodic pulsed laser action allows for non-contact excitation of the test object, eliminating the need for coupling media while maintaining the ability to detect subsurface defects through the generated ultrasonic waves.
3Measurement precision
If piezoelectric ultrasonic sensors are used, then ultrasonic detection is achieved, but they cannot fully adhere to curved surfaces in cylindrical components
Solution Approach 1:
The patent replaces piezoelectric ultrasonic sensors with laser ultrasound technology. The laser method uses optical excitation and detection, eliminating the need for physical sensor adhesion to curved surfaces. The laser can be focused on the surface geometry without requiring the sensor to conform to the curvature.
4Measurement precision
If X-ray inspection is used, then subsurface defect detection is possible, but it has limited scanning range and is only suitable for small components
Solution Approach 1:
The patent replaces X-ray inspection with laser ultrasound technology. The laser ultrasound method uses optical excitation and detection to generate and detect ultrasonic waves that can penetrate and reflect from subsurface defects. This method provides a wider scanning range compared to X-ray, as the laser can be moved along the surface of the component to inspect different areas.
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 solution enhances the accuracy of subsurface defect detection in cylindrical components by reducing the influence of curved surfaces and allows for the measurement of defect width, providing valuable information for repair and maintenance.
Implementation Method 1
Laser ultrasound is a non-contact, high-precision, and non-destructive testing technology. Compared to methods such as air-coupled ultrasound, laser ultrasound offers higher spatial and temporal resolution.
Implementation Method 2
Due to its characteristics of no contact, no coupling agents, multi-mode simultaneous excitation, and broad frequency bandwidth, laser ultrasound has a wide range of applications in material defect detection. Among the various waveforms in laser ultrasound, the Rayleigh waves generated by laser ultrasound can propagate along curved surfaces
Implementation Method 3
a dual-wave mixing interferometer being connected to the continuous laser focusing probe to convert laser ultrasonic signals received by the continuous laser focusing probe into electrical signals
Data Source
AI summary
A subsurface defect detecting device for cylindrical components and method thereof are provided. The subsurface defect detecting device for cylindrical components includes: an electric rotating platform, a three-jaw chuck, a first linear supporting base, and a second linear supporting base. The three-jaw chuck is mounted on the electric rotating platform, and the three-jaw chuck is configured to fix a workpiece to be detected. The first linear supporting base and the second linear supporting base are arranged close to the electric rotating platform, and the first linear supporting base and the second linear supporting base are in contact with each other and are perpendicular to each other. The present disclosure achieves optimal laser ultrasound detection angles by incorporating a moving device, determining the appropriate laser ultrasound detection angle for cylindrical components with different curvature radii, thereby reducing the impact of uneven surfaces on the detection results.