Tessonics Corporation

Andriy Chertov

Roman Gr Maev

Andrew Ouellette

Donald Ryan Scott

Danilo Stocco

Automated real-time characterization of resistance spot welds using ultrasound-based nondestructive evaluation requires a computational process and system to accurately and rapidly interpret the ultrasonic data in real time. Such a process can be automatically learned using artificial intelligence, from a dataset of exemplary ultrasonic data from nondestructive evaluation of resistance spot welds for which a corresponding ideal evaluation of each weld is provided. The process can then be implemented into a system to automatically interpret data from non-destructive evaluation in real-time. The ideal evaluation of each weld requires identification a large set of features that are observable in the ultrasonic signature and comprehensively characterize the corresponding weld process.

Comprehensive real-time characterization of ultrasonic signatures from nondestructive evaluation of resistance spot welding process using artificial intelligence

A spot-welding electrode assembly includes an electrode, an electrode cap at an outer end of the electrode, and a plurality of transducer elements positioned inward of the electrode cap. The transducer elements may be micro-elements. A method for monitoring a weld formed by a spot-welder includes passing current from an electrode assembly through a stack-up, transmitting an ultrasonic wave from each of a plurality of sources in the electrode assembly to a plurality of points in the stack-up, and monitoring the ultrasonic waves to monitor the weld formation.

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Windsor, Canada

Andriy Chertov