IMPROVED CHARACTERIZATION AND CLASSIFICATION OF SPOT WELDS BY ULTRASONIC DIAGOSTIC TECHNIQUES
20210312604 · 2021-10-07
Assignee
Inventors
Cpc classification
G01N2291/044
PHYSICS
G01N29/0645
PHYSICS
G01N29/262
PHYSICS
International classification
G01N29/26
PHYSICS
G01N29/44
PHYSICS
Abstract
A system for ultrasonic examination of spot welds comprising a probe, a computer, and a display screen, the computer configured for spot weld analysis by appropriate analytical software, the probe for coupling to a spot weld via a couplant, wherein the probe comprises a two dimensional array of sensors that is each configured to conduct an A scan analysis, thereby providing a color pixel indicating weld quality in terms of parameters selected from the group of size, shape, voids, upper sheet-weld nugget interface strength and lower sheet-weld nugget interface strength, such that the two dimensional array of sensors produces a two dimensional pixilated image indicating the weld quality in terms of selected parameters.
Claims
1. A system for ultrasonic examination of spot welds comprising a probe, a computer, and a display screen, the computer configured for spot weld analysis by appropriate analytical software, the probe for coupling to a spot weld via a couplant, wherein the probe comprises a two dimensional array of sensors that is each configured to conduct an A scan analysis, thereby providing a color pixel indicating weld quality in terms of parameters selected from the group of size, shape, voids, upper sheet-weld nugget interface strength and lower sheet-weld nugget interface strength, such that the two dimensional array of sensors produces a two dimensional pixilated image indicating the weld quality in terms of selected parameters.
2. The system of claim 1, wherein the number of rows and columns in the pixilated image is less than the number of rows and columns of ultrasonic sensors in the probe.
3. The system of claim 1, wherein individual parameters may be isolated and threshold values set for one or more parameters, enabling a weld to be accepted by an algorithm based on there being more than a threshold number of acceptable weld pixels of a particular category or rejected by the algorithm determining there being less than a threshold number of acceptable weld pixels of a particular category.
4. A method for the ultrasonic examination of spot welds comprising the steps of providing the system of claim 1; generating an array of A scans; setting statistical thresholds for various parameters, generating a colour mapping of a weld corresponding to values of key parameters, and characterizing the weld in terms of the number of pixels of each key parameter that passes the threshold.
5. The method of claim 4 wherein by isolating individual parameters and setting threshold values for each pixel, a decision may be made to accept or reject a weld.
6. The method of claim 4 wherein by isolating individual parameters and setting threshold values for acceptability of each part of the weld, the size of the weld may be calculated.
7. The method of claim 4 wherein by isolating individual parameters and setting threshold values for each pixel, an algorithm may be used to accept the weld based on there being more than a threshold number of acceptable weld pixels of a particular category.
8. The method of claim 4 wherein by isolating individual parameters and setting threshold values for each pixel, an algorithm may be used to reject the weld by the algorithm determining there being less than a threshold number of acceptable weld pixels of a particular category.
Description
BRIEF DESCRIPTION OF THE FIGURES
[0035] For a better understanding of the invention and to show how it may be carried into effect, reference will now be made, purely by way of example, to the accompanying Figures, wherewith it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of the preferred embodiments of the present invention only, and are presented in the cause of providing what is believed to be the most useful and readily understood description of the principles and conceptual aspects of the invention.
[0036] In the drawings, like components are generally designated by like reference numerals, wherein:
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DESCRIPTION OF EMBODIMENTS
[0055] With reference to
[0056] The weld thus formed is concealed between the two sheets of metal that are joined thereby and cannot be examined visually without destroying the work pieces.
[0057] The quality of the spot weld is affected by the welding processes and the design of the joint. Many factors affect the weld strength and quality, including metallurgic reactions, thermal behavior, chemical composition, the condition of the base metal, welding conditions, and the welding equipment used. The intricate relationships between these factors makes it difficult to control the quality of spot welds. The weld quality indicators related to by the various standards are mostly for visual inspection and for destructive testing which are typically separately conducted. Visual examination is superficial and the weld nugget itself is generally concealed by the sheets of metal it holds together, only allowing visual inspection of the weld site on the exposed surface. The true quality of the spot weld. i.e., its strength, can only be determined by off-line destructive sample tests. It can be used for random sampling statistics based quality control, but does not allow testing of the actual spot welds that are subsequently subjected to stress in use.
[0058] Acoustic methods are a commonly used non-destructive testing method that has been used for various inspection applications. The acoustic method provides both surface and internal information and has a high sensitivity to small discontinuities. Acoustic methods require a propagating medium or couplant fluid for acoustic wave propagation between the acoustic probe and the test specimen. Since the sheet metal components that are spot welded in the automotive and aerospace industries are usually galvanized or coated, they are not be damaged by the couplant fluid.
[0059] Unfortunately, skillful operators are required for operating acoustic testing devices and for analyzing the information generated by such systems. This makes on-line inspection of spot welds difficult because it is not economical to train large numbers of workers in ultrasonic testing.
[0060] Unlike optical or x-ray inspection methods that obtain two-dimensional information through one process, ultrasonic testing has to go through point-to-point scanning procedures to obtain information from the whole inspected volume. There are several ways to display acoustic information, and they can be categorized by the information obtained. The most common ones are A-, B-, and C-scans that can be selected to show the internal defects as required.
[0061] The A-Scan is the simplest and mostly widely used method of displaying information with conventional ultrasonic NDE devices. It shows the amplitude of the echoes, or the reflection, as a function of time at a selected point on the work surface. The duration of time between different peaks represents the time needed for acoustic waves to travel between discontinuities. It provides sample thickness information.
[0062] The B-scan follows the same procedure as the A-scan, but repeats the signal-catching procedures while the probe scans along a straight line on the surface of the work-piece being tested. Thus, an image of the cross-section of a component is built up. The measured amplitude is displayed as a colored dot on a monitor and its position is defined by the position of the probe (X-coordinate) and the traveling time (Y-coordinate) of the acoustic pulse. If the amplitude of a particular echo is monitored at each point on a certain depth of the workpiece, a C-scan can be performed.
[0063] Measurements at each point are taken using two-dimensional scanning and electronic gate mechanisms that produce the plan for the level of the defect. This scan only gives the information at the preset depth of the electronic gate. While the C-scan provides the richest information, and is therefore more desirable for quality control purposes, it is also the most time consuming scan, and therefore difficult to perform on-line.
[0064] Conventional spot weld inspection used on production lines uses a probe with one ultrasonic element and analyzes A-scan data.
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[0066] Although “ . . . different diameter of nugget would shows different tensile strength” Walther Jenis (2009) ‘Effect of welding nugget diameter on the tensile strength of the resistance spot welding joints of same sheets metal’, University Malaysia Pahangs, it was pointed out by Dickenson D. “Welding in the automotive industry”, Committee of Sheet Steel Producers, Report 81-5, AISI, (1981), that there is not always a correlation between weld diameter and weld strength.
[0067] It will be appreciated that round nuggets are an idealization. Where the electrodes are worn, there is poor tip alignment or dirt on the workpieces, non-round spot welds may occur.
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[0074] The ultrasonic method for spot weld inspection is based on the detection of multiple reflections from the back wall of the welded structure, together with intermediate echoes reflected by the interface between the plates. The length of the echo sequence from the total thickness, the signal attenuation (amplitude drop), and the amplitude and position of the intermediate echoes permit the differentiation between good spot welds and defective ones, and enable a fuller classification of defective spots.
[0075] This enables, automated decision making, defect classification and reporting.
[0076] With reference to
[0077] It will be appreciated that weld machines often depress the metal sheets on one or both sides of the spot welds, giving irregular curved surfaces. The transmission and reflection coefficients of an ultrasound signal are sensitive to the tilt of the surface. Thus the signal attenuation is affected by the curvature of the indentation and not just by attenuation within the nugget.
[0078] With reference to
[0079] With reference to
[0080] With reference to
[0081] With reference to
[0082] Thus the back wall signals are spaced at total weld thickness (t.sub.64+t.sub.62+t.sub.66—indentation) with significant intermediate signals representing the back wall of the upper layer 64. +In one example, an automated decision maker computer system can display green for acceptable, red for reject and orange for further testing.
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[0084] A problem with the two dimensional image of a weld created by ultrasonic probing will have nugget borders indicated by a change in signal attenuation. The size of the nugget indicated may not correlate well to the actual quality of the nugget determined by destructive testing.
[0085] Instead of mechanically scanning a probe over the weld, good results may be obtained using a multiple detector array where the size of the array is large enough to cover the largest nugget. Where a 2 dimensional sensor array is used, a two dimensional image of the spot weld may be produced.
[0086] Embodiments of the invention use phased array (PA) probes. Instead of building a 2 dimensional map based on analyzing signal attenuation at each individual element or group of elements, it is possible to build a two dimensional may by analyzing the A-scan at each individual element or group of elements. Such sensor array probes show areas with good nugget, no nugget, voids, abutting but non-welded interface, etc. and thus the shape and size of the nugget can be determined, together with an indication of its quality. If, a color scheme is used, with, say, green for good, red for bad and orange for reconsideration, the number of green pixels in the two dimensional pixilated array gives an indication of quality for the weld as a whole.
[0087] A series of test coupons as shown in
[0088] The results of the ultrasonic testing for each sensor were considered good weld (green), no weld (blue), a thin weld where the actual thickness was less than the nominal thickness (orange), a discrepancy that was rejected is given in red, and where no measurement was possible, the signal is given in grey, as per table 1.
TABLE-US-00001 TABLE 1 On Screen Element Color Representation UT (Decision) Green Good Blue T1 ToF (no weld) Orange Actual TT < Nominal TT Red Algorithm reject (discrepant) Grey Measurement reject showing how a pixel corresponding to a detected signal by a sensor in an array of sensors may be used to give an indication of local weld quality
The date generated by the multi-signal probe array is shown in
TABLE-US-00002 TABLE 2 Decision Condition No Weld # blue elements exceeding “no weld” TH Good weld # of green elements exceeding “good weld” TH Undersized # of green elements exceeding “undersize” TH AND lower than “good weld” TH Discrepant # of green elements lower than “undersize” TH Thin spot # of orange elements exceeding “thin spot” TH showing how a pixilated array corresponding to the detected signal by sensors in an array of sensors may be used to give a detailed indication of weld quality by setting appropriate thresholds.
[0089] Thus, where, until now, a two dimensional array merely gave the overall size and shape of the nugget, this more detailed analysis gives an indication of quality, based on a calculation of the area with the pixels indicating good acoustic coupling, as well as enabling bad welds to be classified by a statistical method that sets acceptable threshold levels and automated decision making This can reduce wastage by avoiding scrapping of small but flawless nuggets, for example.
TABLE-US-00003 TABLE 3 Coupon #, Point # Controlled Spot 1, A Good nugget 1, B Cold nugget/no weld 1, C Burnt spot/over weld 2, D Undersize spot/small nugget 2, E Stick weld/discrepant 2, F Thin weld/strong indentation corresponding to FIG. 16
indicates data missing or illegible when filed
[0090] Persons skilled in the art will appreciate that the present invention is not limited to what has been particularly shown and described hereinabove. Rather the scope of the present invention is defined by the appended claims and includes both combinations and sub combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.
[0091] In the claims, the word “comprise”, and variations thereof such as “comprises”, “comprising” and the like indicate that the components listed are included, but not generally to the exclusion of other components.