Automatic Diagnostic of Resistance Spot Welds Using Adaptive Ultrasonic Phased Array Method Brédif, Ph. Moor, Ch. Desnoux, E. Benoist, Ph. 2018-02-17T22:55:53.000 2020-06-30T06:52:49Z 2020-06-30T06:52:49Z 2016-01-01
dc.description.abstract <p>This paper presents the results of a collaborative research program related to an efficient inspection procedure dedicated to characterizing and sizing resistance spot welds. This method allows to perform a real-time diagnostic of the resistance spot weld according to the following categories: good/stick/small/excessive indentation. The method is based on the combination of a highly resolved ultrasonic cross-section image thanks to real-time Adaptive phased array Total Focusing Method, with a dedicated decision making process. A specific phased array-probes with a flexible membrane with water coupling is placed over the spot weld, and the ATFM technique automatically measures the exact, uneven shape of the part and provides an accurate TFM image of the cross-section of the weld (see Figure 1). This image is automatically processed and analyzed. These algorithms have been implemented in portable phased-array ultrasonic system (Gekko, by M2M), and experimental tests over a large series of good and bad samples have been carried out (by Renault), to evaluate the performances of this method. The principle and implementation of the method, as well as examples of images and diagnostics associated to various samples will be discussed in this paper.</p>
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dc.identifier archive/
dc.identifier.articleid 5013
dc.identifier.contextkey 9262320
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/2016/abstracts/140
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/|||Fri Jan 14 20:11:43 UTC 2022
dc.subject.disciplines Acoustics, Dynamics, and Controls
dc.subject.disciplines Mechanical Engineering
dc.title Automatic Diagnostic of Resistance Spot Welds Using Adaptive Ultrasonic Phased Array Method
dc.type event
dc.type.genre event
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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