The automatic welding method includes: carrying a pipe on which a true circle weld groove and settling the pipe at a fit-up position in the welding station and carrying a hollow connection member on which a true circle weld groove is formed to a position near the fit-up position in the welding station by using the material transport robot; measuring the alignment state of the hollow connection member with respect to the fit-up position by using a gap sensor robot, and according to the results, moving the position of the hollow connection member to align the weld groove of the pipe with the weld groove of the hollow connection member; performing a root welding on the aligned weld grooves by using a GT welding robot; and performing a filling and cap welding on the aligned weld grooves by using a GM welding robot to manufacture a 2D spool.

Methods and apparatus to provide visual information associated with welding operations are disclosed. An weld training system includes a display, a camera, a communications device, and a welding helmet. The communications device communicates with welding equipment. The welding helmet has a view port. The communications device is configured to hold the camera, the communications device, and the display such that, when the welding helmet is worn by a wearer, the display is viewable by the wearer, the camera has a view through the view port such that the display displays to the wearer images taken by the camera through the view port and displays a simulated object generated based on information received from the welding equipment via the communications device.

A method for generating a path for wire arc additive manufacturing is provided in this disclosure, which relates to the technical field of additive manufacturing, and includes following steps: generating a model in which a three-dimensional model is established according to angle constraint of the wire arc additive manufacturing; layering the model in which the three-dimensional model is layered along a height direction; selecting discrete points in which a plurality of discrete points are selected according to curve curvature for different layers of the model; obtaining coordinates of the discrete points; determining a printing direction; obtaining coordinates of the discrete points and corresponding printing directions; and generating a control program. The method according to the disclosure is simple, has a wide application range, can satisfy printing of complex shapes, and can serve to well form for structures with maximum printing inclination of 60 degrees, thus improving forming effect of printing.

Provided is image processing unit that causes computer to perform: a spatter candidate region detection step of performing, for each of input images obtained by capturing workpiece during arc welding, detection of a spatter candidate region based on a pixel value indicating brightness of a pixel included in the input images; a reflected light region identification step of identifying, in the spatter candidate region detected in the spatter candidate region detection step, a reflected light region in which reflected light of arc light is shown, based on color information of a reference pixel included in the spatter candidate region; and a spatter number identification step of identifying, as the number of spatters, the number of spatter candidate regions obtained by removing the reflected light region identified in the reflected light region identification step in the spatter candidate region detected in the spatter candidate region detection step.

Systems and methods for setting welding parameters are provided. For example, in certain embodiments, a method includes receiving an input relating to a change in a parameter of welding power of a welding system via a welding system interface. The method also includes displaying a graphical representation of an acceptable range of values for the parameter of the welding power on a display device of the welding system interface, wherein the acceptable range of values is based on other parameters of a welding process being performed by the welding system. The method further includes constraining subsequent manual inputs relating to changes in the parameter of the welding power to the acceptable range of values.

Systems and methods for setting welding parameters are provided. For example, in certain embodiments, a method includes receiving an input relating to a change in a parameter of welding power of a welding system via a welding system interface. The method also includes displaying a graphical representation of an acceptable range of values for the parameter of the welding power on a display device of the welding system interface, wherein the acceptable range of values is based on other parameters of a welding process being performed by the welding system. The method further includes constraining subsequent manual inputs relating to changes in the parameter of the welding power to the acceptable range of values.

An example weld training system includes: a display device; a processor; and a machine readable storage device comprising machine readable instructions to: collect data describing the welding-type operation; collect, from a set of one or more cameras, images depicting one or more of: a) a posture of an operator or a technique of the operator during the welding-type operation; or b) a welding torch used in the welding-type operation; synchronize the collected data and the collected images with comparative images of a predefined correct performance of the welding-type operation; and display the collected data and the collected images together in a synchronized manner on the display device such that the processor updates the display device to display corresponding synchronized data and images when a portion of the welding-type operation is selected for viewing, the displaying comprising displaying the collected data, the collected images, and the comparative images.

An example weld training system includes: a display device; a processor; and a machine readable storage device comprising machine readable instructions to: collect data describing the welding-type operation; collect, from a set of one or more cameras, images depicting one or more of: a) a posture of an operator or a technique of the operator during the welding-type operation; or b) a welding torch used in the welding-type operation; synchronize the collected data and the collected images with comparative images of a predefined correct performance of the welding-type operation; and display the collected data and the collected images together in a synchronized manner on the display device such that the processor updates the display device to display corresponding synchronized data and images when a portion of the welding-type operation is selected for viewing, the displaying comprising displaying the collected data, the collected images, and the comparative images.

In the context of additive manufacturing processes wherein an object is built by layered accumulations of discrete instantaneous deposits of feedstock material at specific locations according to a three-dimensional digital data model, systems and methods are taught for operating multiple independently-moving depositing devices in a shared build space to build the object. In some embodiments, depositing components perform discrete material depositing actions according to sequential lists of deposit location instructions which are dynamically sortable, enabling a control methodology to alleviate collision risks among depositing components and to improve thermal conditions of a workpiece during construction. Further embodiments provide for dynamic apportionment of discrete deposition actions among the available depositing devices for load balancing and fault tolerance.

A robotic electric arc welding system includes a welding torch, a welding robot configured to manipulate the welding torch during a welding operation, a robot controller operatively connected to the welding robot to control weaving movements of the welding torch along a weld seam and at a weave frequency and weave period, and a welding power supply operatively connected to the welding torch to control a welding waveform, and operatively connected to the robot controller for communication therewith. The welding power supply is configured to sample a plurality of weld parameters during a sampling period of the welding operation and form an analysis packet, and process the analysis packet to generate a weld quality score, wherein the welding power supply obtains the weave frequency or the weave period and automatically adjusts the sampling period for forming the analysis packet based on the weave frequency or the weave period.