Adaptive Ultrasonic Flaw Imaging With Misalignment Compensation
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Solution Overview
Problem
Existing ultrasonic inspection methods for volumetric flaws in structures face challenges such as misalignment between probes and test specimens, leading to flawed imaging representation and suppressed flaw identification, particularly in bar inspection, which complicates mechanical positioning and limits detection capabilities.
Innovation Solution
An adaptive approach using zonal Dynamic Depth Focusing (zDDF) and Coherent Adaptive Focusing (CAF) techniques to compensate for misalignment by applying delay factor corrections, allowing for coherent summation of acoustic echo signals to generate accurate voxel or pixel values representing the actual flaw location, even with mechanical misalignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ultrasonic inspection methods are used with fixed probe positioning, then mechanical positioning is simplified, but imaging accuracy and flaw detection reliability deteriorate due to misalignment between probes and test specimens
Solution Approach 1:
The system performs preliminary alignment by transmitting acoustic waves and receiving echo signals to determine actual geometric characteristics of the test specimen surface before the main inspection. This preliminary action allows the system to calculate and apply delay factor corrections that compensate for misalignment, thereby achieving accurate imaging without requiring complex mechanical positioning adjustments during the inspection process
Solution Approach 2:
The system changes the timing parameters of acoustic wave transmission and reception by applying delay factor corrections to individual probe elements. By adjusting these temporal parameters based on measured geometric deviations, the system compensates for misalignment and achieves accurate flaw localization without mechanical repositioning, thus improving measurement precision while maintaining operational simplicity
2Reliability
If standard B-Scan imaging stacking is used, then data acquisition is straightforward, but flaw location representation becomes inaccurate and flaw identification is suppressed
Solution Approach 1:
The system replaces mechanical positioning precision requirements with computational correction methods. Instead of relying on mechanically precise probe alignment and standard B-Scan stacking, the system uses acoustic echo analysis to determine geometric characteristics and applies delay factor corrections computationally. This substitution of mechanical precision with computational processing improves flaw detection reliability while the processing complexity is managed through automated algorithms
Solution Approach 2:
The system implements feedback by using received acoustic echo signals to determine actual geometric characteristics of the test specimen, then using this information to calculate delay factor corrections for subsequent imaging. This closed-loop feedback mechanism ensures accurate flaw location representation by continuously adapting the imaging parameters based on measured geometric deviations, thereby improving detection reliability
3Measurement precision
If delay factor corrections are applied to compensate for misalignment, then imaging accuracy improves, but processing time and computational requirements increase
Solution Approach 1:
The system performs delay factor calculation based on geometric characteristics determination in advance of the main inspection process. By completing the computational correction setup beforehand, the actual inspection benefits from pre-calculated delay factors, minimizing real-time processing delays while maintaining high flaw location accuracy
Solution Approach 2:
The system implements dynamic delay factor adjustment where correction values are adapted based on the specific geometric characteristics of each inspected feature. Rather than using fixed or overly conservative processing times, the system dynamically optimizes processing based on actual measured parameters, reducing unnecessary computational overhead while maintaining accurate flaw location representation
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
Enhances inspection productivity and detection capabilities by providing intuitive and accurate imaging of volumetric flaws, reducing sensitivity to positioning errors and enabling reliable flaw detection even with mechanical misalignment, while maintaining high throughput.
Implementation Method 1
an array of electro-acoustic transducers
Implementation Method 2
respective acoustic echo signals are received, using receiving ones of the electro-acoustic transducer elements
Implementation Method 3
acoustic transmission events
Implementation Method 4
acoustic echo signals
Implementation Method 5
applying determined nominal element delay factors to the respective representations to approximate a virtual probe normal to a nominal shape of a surface
Data Source
AI summary
Acoustic evaluation of a target can be performed using an array of electro-acoustic transducers. For example, a technique for such evaluation can include generating acoustic transmission events using different transmitting apertures, the apertures defined by corresponding zones along the array, the zones including multiple electro-acoustic transducer elements. In response to the respective acoustic transmission events. respective acoustic echo signals are received. Representations of the respective received acoustic echo signals are coherently summed. The coherently summing includes applying determined nominal element delay factors to the respective representations to approximate a virtual probe normal to a nominal shape of a surface of a structure being inspected. A pixel or voxel value is corresponding to a specified spatial location within the structure being inspected is generated using the coherently summed representations.