A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, and a determination unit configured to perform an inspection determination related to a shape of the welding bead based on the input data. The determination unit determines which of a range of a value indicating a non-defective product zone, a range of a value indicating a gray zone, and a range of a value indicating a defective product zone a value obtained from the input data belongs to. The range of the value indicating the gray zone is between the range of the value indicating the non-defective product zone and the range of the value indicating the defective product zone.

A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a preprocessing unit configured to perform a preprocessing of converting a shape of the welding bead into a predetermined shape on the input data, and k inspection determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to inspect and determine presence or absence of a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting input data on which the preprocessing is performed.

A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a first determination unit configured to perform a first inspection determination related to a shape of the welding bead based on a comparison between the input data and a master data, k second determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to perform a second inspection determination related to a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting the input data, and a comprehensive determination unit configured to output a result of an appearance inspection of the welding bead to an output device based on determination results of the first determination unit and the k second determination units.

A non-destructive system for detecting anomalies in weldment of a pipeline is provided including an imaging apparatus, an anomaly detection unit, and a computing device. The imaging apparatus produces image segments corresponding to segments of the circumferential area of the weldment. The anomaly detection unit includes an artificial intelligence platform that processes and analyzes the image segments to identify at least one of a type, size, and location of a welding anomaly within the weldment using a database of truth data. The computing device includes a graphical user interface that displays the image segments with an overlay of information relating to at least one of the type, size, and location of the welding anomaly to the user.

A method for checking a connection region formed during a joining process of at least two metal components via a laser. The method includes producing a photographic recording of the connection region being formed, transforming the photographic recording, creating at least two image strips in the photographic recording, and assessing the at least two image strips. An apparatus for carrying out the method is further provided.

A method for identifying joining positions of workpieces includes capturing images of a joint by a camera, determining measurement data for the joining positions associated with a course of the joint from the images of the joint, determining a mathematical model of the joint course from a part of the measurement data, providing a curve based on the mathematical model for positioning a welding laser during a laser welding process along the curve.

A welding method for welding grouped conductor ends of a component for an electrical machine by means of a welding device. In the method, a relative position of a first conductor end and a second conductor end of grouped conductor ends and then a first size parameter of a molten pool formed during welding are detected. Subsequently, a second size parameter of the molten pool formed during welding is detected. In a further method step, a value of the molten pool is determined from the first size parameter, the second size parameter and the relative position. Finally, a welding energy input is controlled depending on the determined value of the molten pool.

A printing solder point quality identification and maintenance suggestion system and a method thereof are disclosed. In the system, when solder paste inspection data, component inspection data or circuit inspection data indicates presence of defect, an analysis and calculation device intercepts the operating data, the equipment data, the raw material data, the process data and the environment data from a time data stream, to generate a data feature portrait. The analysis and calculation device then sets a reliability value based on location association between the solder paste inspection data, the component inspection data, the circuit inspection data and the maintenance data in the location data stream, and performs similarity calculation on the data feature portrait and the comparison data feature portrait to calculate a similarity value, and then calculates a relative reliability value, and compares the relative reliability value with a reliability threshold value to generate maintenance suggestion information.

A method for making a bonded metal piece, including (a) obtaining a first piece of stock metal comprising a first surface and a second piece of the stock metal comprising a second surface; (b) smoothing the first surface so as to form a first contact surface and smoothing the second surface so as to form a second contact surface; (c) cleaning the first contact surface and the second contact surface; (d) loading the first piece and the second piece into a furnace; and (e) bonding the first piece to the second piece so as to form a bonded metal piece comprising the first contact surface diffusion bonded to the second contact surface. The bonding includes (i) heating the first piece and the second piece to a temperature below a superplastic forming temperature of the stock metal; and (ii) applying a pressure comprising pressing the first contact surface and the second contact surface together while the first piece and the second piece are at the temperature. In one or more examples, the bonded metal piece is machined (without forging or working into shape) into an aircraft part.

An ultrasonic-based welder qualification system is disclosed. The ultrasonic-based welder qualification system provides an inclusive inspection cabinet for welder qualification coupons with a development path for machine learning assisted analysis according to relevant codes/standards. Advanced Ultrasonic do not require permitting and the close loop system will provide pre-programmed procedures for auto-examination capabilities. The system can include a roller assembly for supporting a coupon, and a gantry assembly for positioning ultrasonic probes on the coupon. The gantry assembly can include vertical drive members and a horizontal drive member movable along the vertical drive members. The ultrasonic probes can be movably associated along the horizontal drive member. The system can utilize machine learning to analyze weld data for providing rapid weld qualification information. A portable cabinet can house all the components for providing rapid transport to sites.