Ultrasonic Joint Detection via Dual-Gain A-Scan Analysis
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Solution Overview
Problem
Current nondestructive evaluation techniques for identifying stuck or cold welds and bonds are subjective and require skilled operators, making it difficult to reliably assess the quality of joints in a nondestructive manner, especially in sheet metal joining processes.
Innovation Solution
The method employs an ultrasonic testing system that transmits both primary and secondary ultrasonic beams to capture high and low gain A-scan presentations, allowing for the identification of stuck joints by analyzing subtle variations in the reflected beams, which helps in distinguishing between good and stuck welds without the need for skilled operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic methods are used for nondestructive testing of joints, then surface and internal information can be obtained with deep penetration and high sensitivity, but skilled operators are required and the identification of stuck welds is subjective
Solution Approach 1:
The patent replaces the subjective mechanical/acoustic inspection method with an automated optical imaging system. The stereo vision system captures images and automatically processes them through algorithms to identify stuck welds, eliminating the need for skilled operators to manually interpret acoustic signals while maintaining high detection sensitivity.
Solution Approach 2:
The system performs self-diagnosis by automatically analyzing the captured images to identify stuck welds. The automated image processing algorithms independently evaluate the joint quality without human intervention, making the inspection process objective and repeatable while removing dependency on operator expertise.
2Loss of information
If acoustic methods are used for nondestructive testing of joints, then both surface and internal information can be obtained, but the identification of stuck welds is very subjective
Solution Approach 1:
The patent replaces subjective acoustic interpretation with objective optical imaging and automated image analysis. The stereo vision system captures comprehensive visual information about the joint, and the automated algorithms objectively identify stuck welds based on image features, eliminating the subjectivity inherent in acoustic method interpretation while maintaining complete information capture.
Solution Approach 2:
The system changes the detection parameter from acoustic signal interpretation to optical image analysis. By capturing images and analyzing visual features such as weld geometry, surface characteristics, and joint formation, the system provides reliable and objective identification of stuck welds without the subjectivity of acoustic method interpretation.
3Reliability
If prior nondestructive evaluation techniques are used to identify stuck welds, then inspection can be performed, but the process is time-consuming and requires skilled operators
Solution Approach 1:
The patent replaces time-consuming manual acoustic inspection with automated optical imaging and image processing. The stereo vision system rapidly captures images and the automated algorithms immediately analyze them to identify stuck welds, dramatically increasing inspection speed while maintaining reliable detection capability and eliminating the need for skilled operators.
Solution Approach 2:
The system performs preliminary automated analysis of the joint appearance immediately after welding. By capturing images and processing them through automated algorithms right after the welding operation, the system enables rapid identification of stuck welds without requiring subsequent manual inspection by skilled operators, thereby improving 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 enables quick and accurate identification of stuck joints, applicable to various materials and joining processes, including spot welding, adhesive bonding, and continuous bonds, improving reliability and reducing the subjectivity of prior methods.
Implementation Method 1
The present method utilizes an ultrasonic testing (UT) probe to transmit ultrasonic (US) beams into the joint area and capture the associated US reflections
Data Source
AI summary
An ultrasonic testing method to identify a stuck joint between two workpieces utilizing an ultrasonic probe to transmit ultrasonic (US) beams into the joint area and capture the associated US reflections. The method transmits two separate US beams fired in very close proximity to one another. The probe then captures a plurality of US reflections. The method looks for subtle variations in a high gain A-scan presentation of a high gain reflected beam, while using a low gain US beam to identify the particular region on the high gain A-scan presentation in which to look for signs of a stuck joint. Subtle variations within a particular region of the high gain A-scan presentation identify stuck joints. The method is applicable to metals and nonmetals and is not limited to fusion welding, but may also be used with solid state welds, brazed and soldered joints, and adhesively joined workpieces.