Disclosed herein is a device for magnetic welding of battery boils comprising a coil holder; where the coil holder comprises one or more electrical coils that are operative to be activated by an electrical current; a foil holding fixture; wherein the foil holding fixture comprises a plurality of arms; wherein each pair of adjacent arms is operative to move towards one another to crimp a plurality of battery foils; and an anvil; wherein the anvil is operative to support a battery tab and the battery foils.

To provide a galvanized steel sheet having high strength; specifically, with a tensile strength of 1160 MPa or more and excellent resistance spot weldability. A chemical composition of a base steel sheet contains one or more of Ti, Nb, V, and Zr: 0.02% or more and 0.20% or less in total, and an amount of diffusible hydrogen in a zinc or zinc alloy coating layer is 0.40 mass ppm or less.

Methods for resistance welding, resistance-welded assemblies, and vehicles including resistance-welded assemblies are provided. An exemplary resistance welding method includes compressing a workpiece stack-up with an interface material between first and second workpieces to squeeze a portion of the interface material to a reduced thickness. After compressing the workpiece stack-up, the first welding electrode contacts the first workpiece at an operating contact area between the first welding electrode and the first workpiece that is greater than an initial contact area. The method also includes passing an electrical current between the welding electrodes to form a molten weld pool within the workpieces, and ceasing the passing of the electrical current between the welding electrodes to allow the molten weld pool to solidify into a weld nugget that forms all or part of a weld joint between the workpieces.

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.

This joint component is a joint component including a first steel member, a second steel member, and a spot-welded portion that joins the first steel member and the second steel member, in which the first steel member includes a steel sheet substrate having a predetermined chemical composition and a coating that is formed on a surface of the steel sheet substrate, contains Al and Fe, and has a thickness of 25 m or more, in a cross section in a thickness direction of the first steel member and the second steel member including the spot-welded portion, a filled metal containing Al and Fe is present in a gap between the first steel member and the second steel member in a periphery of the spot-welded portion, in the cross section, the filled metal has a cross-sectional area of 3.010.sup.4 m.sup.2 or more, and has a filling ratio of 80% or more in the gap in a range of 100 m from an end portion of a corona bond formed in the periphery of the spot-welded portion, and includes a first region and a second region.