Method and system for assessing quality of spot welds
A system and method for assessing the quality of spot weld joints between pieces of metal includes an ultrasound transducer probing a spot weld joint. The ultrasound transducer transmits ultrasonic radiation into the spot weld joint, receives corresponding echoes, and transforms the echoes into electrical signals. An image reconstructor connected to the ultrasound transducer transforms the electrical signals into numerical data representing an ultrasound image. A neural network connected to the image reconstructor analyzes the numerical data and an output system presents information representing the quality of the spot weld joint. The system is trained to assess the quality of spot weld joints by scanning a spot weld joint with an ultrasound transducer to produce the data set representing the joint; then physically deconstructing the joint to assess the joint quality.
1. A method of analyzing an ultrasound image, the method comprising the steps of:
identifying critical data items in the ultrasound image;
assigning each critical data item a weight parameter specifying the reliability of the data stored in a corresponding data item;
performing surface peak detection on the ultrasound image;
altering a weight parameter for a data item based on the results of the surface peak detection to reflect a change in reliability;
accepting and rejecting data items based on their respective weight parameters; and
displaying accepted data items.
2. The method of claim 1 , wherein the data items represent ultrasound transducer channels.
3. The method of claim 2 , further comprising the step of rejecting a channel from further consideration based on the corresponding weight parameter.
4. A method of analyzing an A-scan ultrasound image to reduce the angular dependence of matrix transducer elements and improve C-scan image quality, wherein the ultrasound image represents a surface sample of a spot-weld joint, the method of comprising the steps of:
locating the positions and amplitudes of surface peaks in the ultrasound image;
measuring a global tilt of the surface sample with respect to the transducer surface, using weighted bilinear regression;
using an empiric tilt-amplitude calibration curve to compute an amplitude drop compensation factor based on the global tilt; and
multiplying the value of each sample point in each A-scan by the amplitude drop compensation factor, such that the factor is applied for all transducer channels;
wherein subsequently acquired C-scan images have more stable amplitudes that are less dependent on the transducer tilt than images acquired using un-compensated transducers.
5. The method of claim 4 , further comprising the step of building the calibration curve, wherein building the curve includes the steps of:
using a series of measurements on flat-parallel sheets of metal; and
mapping the amplitude of the signal received from the back face of the sheet.
6. A method of compensating for variations in the velocity of sound in different media in the analysis of ultrasound images, wherein an ultrasound transducer system is used to acquire ultrasound images, the method comprising the steps of:
acquiring a set of A-scan ultrasound images;
shifting each A-scan along its time axis so that the position of surface peaks for becomes the same for all ultrasound transducer channels;
building a C-scan image from the A-scan images, wherein the C-scan image reflects the shifting; and
displaying the C-scan image.