To provide a method and apparatus for manufacturing a joined member that inhibit occurrence of cracks in a joined member even when the joined portion is quenched when members are welded together. The method includes placing the first member D and the second member E with a joint target portion Df and a joint target portion Ef being in contact with each other, welding the joint target portions by heating, subjecting the first member D after the welding to a process for inhibiting occurrence of cracks, and tempering a portion where the first and second members have been welded to each other by electromagnetic heating. The apparatus includes a first electrode 11 to contact with the first member D; a second electrode 12 to contact with the second member E; and an induction heating coil 23 for performing induction heating of a portion where a joint target portions Df and Ef have been contacted and joined to each other, and the induction heating coil 23 is placed between the two electrodes 11 and 12 when the induction heating is performed.

A welding quality processing method and device, and a circuit board. The method includes: obtaining warpage data of each circuit board layer in a multi-layer circuit board under a preset welding temperature change curve; performing simulation according to a stacked state of the multi-layer circuit board and the warpage data to generate a warpage level of each region in the multi-layer circuit board in the stacked state; and processing the multi-layer circuit board according to the warpage level.

Provided is a welded structural member with excellent stress corrosion cracking resistance, which includes: a 7000-series aluminum alloy material that has a chemical composition containing 6.6% by mass to 8.5% by mass of Zn, 1.0% by mass to 2.1% by mass of Mg, 0.10% by mass to 0.20% by mass of Zr, and 0.001% by mass to 0.05% by mass of Ti, with a remainder including Al and unavoidable impurities, and includes a metallographic structure that is a fibrous structure; and other aluminum alloy material welded with the 7000-series aluminum alloy material. In this welded structural member, when an electrical conductivity of the 7000-series aluminum alloy material before an artificial aging treatment is defined as X % IACS and the electrical conductivity of the 7000-series aluminum alloy material after the artificial aging treatment is defined as Y % IACS, the following equation is satisfied: 0.120≤(Y/X−1)≤0.250 is satisfied, and a difference in the electrical conductivity of the 7000-series aluminum alloy material between a mother portion other than a weld heat-affected zone and the weld heat-affected zone is 5% IACS or less.

Provided is a welded structural member with excellent stress corrosion cracking resistance, which includes: a 7000-series aluminum alloy material that has a chemical composition containing 6.6% by mass to 8.5% by mass of Zn, 1.0% by mass to 2.1% by mass of Mg, 0.10% by mass to 0.20% by mass of Zr, and 0.001% by mass to 0.05% by mass of Ti, with a remainder including Al and unavoidable impurities, and includes a metallographic structure that is a fibrous structure; and other aluminum alloy material welded with the 7000-series aluminum alloy material. In this welded structural member, when an electrical conductivity of the 7000-series aluminum alloy material before an artificial aging treatment is defined as X % IACS and the electrical conductivity of the 7000-series aluminum alloy material after the artificial aging treatment is defined as Y % IACS, the following equation is satisfied: 0.120≤(Y/X−1)≤0.250 is satisfied, and a difference in the electrical conductivity of the 7000-series aluminum alloy material between a mother portion other than a weld heat-affected zone and the weld heat-affected zone is 5% IACS or less.

The present application relates to a method, device, and system for detecting welding spot quality abnormalities based on deep learning. The method includes: acquiring a dynamic welding parameter in a welding process corresponding to any target welding spot; inputting the dynamic welding parameter into a pre-trained dynamic welding parameter simulation model for simulation, and acquiring a welding simulation parameter output by the dynamic welding parameter simulation model; determining a deviation of the dynamic welding parameter from the welding simulation parameter, and determining that the target welding spot is an abnormal welding spot when the deviation is greater than a preset threshold. The solution of the present application can reduce the frequency of manual tearing down and batches for abnormality detection, which has a faster abnormality detection speed and may cover all welding spots.

A method of joining a razor blade to a blade support to form a razor blade assembly, the method including: directing a laser beam having an adjustable power output at an upper surface of the razor blade; and while advancing the laser beam along the razor blade: a) applying the laser beam at a first power output to the razor blade; b) reducing the first power output of the laser beam to a second power output; and c) applying the laser beam at the second power output to the razor to form a weld area joining the razor blade to the blade support. The weld area may be elongated and may include (i) a ratio of depth:width that is greater than about 2:1, and/or (ii) a ratio of length:width that is greater than about 5:1.

A method for recognizing cutting parameters which are particularly important for specific features of a cut edge. A recording of the cut edge is analyzed by an algorithm having a neural network for determining the cutting parameters. Those recording pixels which play a significant part for ascertaining the cutting parameters are identified by backpropagation of this analysis. An output in the form of a representation of these significant recording pixels, in particular in the form of a heat map, demonstrates to a user of the method which cutting parameters need to be changed in order to improve the cut edge. A computer program product and a device for carrying out the method.

The invention relates to a device (2) for welding hard material elements (4) onto teeth (6) of a saw blade (8), comprising a saw blade feed device (12) for moving the saw blade (8) in a feed direction (14), such that a tooth (6a) of the saw blade (8) can be brought into a target position (16) in a working region (10) of the device (2), comprising a first centering device (30) for centering the saw blade (8) transversely to the feed direction (14), comprising a second centering device (32) for centering a respective hard material element (4) transversely to the feed direction (14), comprising a resistance welding device (24) having a welding electrode (26) that can be deployed into and withdrawn from the working region (10), comprising a supply device (28) for supplying and transferring a respective hard material element (4) to the welding electrode (26), and it being possible for the welding electrode (26) to be deployed in such a way that the hard material element (4) can be brought toward the tooth (6a) to abut the tooth (6a). According to the invention, the hard material element (4) can be centered relative to the centered and fixed saw blade (8) by means of the second centering device (32), and the first and second centering device (30) are provided in a common assembly (38), such that the centering of the saw blade (8) by the first centering device (32) predetermines a centering position for the subsequent centering of the hard material element (4) by the second centering device (32).

A system and method of monitoring a powder-bed additive manufacturing process is provided where a layer of additive powder is fused using an energy source and electromagnetic emission signals are measured by a melt pool monitoring system to monitor the print process. The measured emission signals are analyzed to identify outlier emissions and clusters of outliers are identified by assessing the spatial proximity of the outlier emissions, e.g., using clustering algorithms, spatial control charts, etc. An alert may be provided or a process adjustment may be made when a cluster is identified or when a magnitude of a cluster exceeds a predetermined cluster threshold.

A peening method which can sufficiently improve fatigue properties of a lap fillet welded joint having a thin steel sheet as a base sheet, in which a knocking pin having a predetermined shape is continuously knocked as a series of knocking toward a direction inclined relative to the welding direction, the series of knocking is repeatedly performed in the welding direction, at that time, a knocking mark group made of a plurality of knocking marks formed by the series of knocking is superimposed on at least a part of an adjacent knocking mark group while an end part in the direction orthogonal to the welding direction of the knocking mark group is separated from an end part in the direction orthogonal to the welding direction of the adjacent knocking mark group.