Abstract: A method includes receiving welding data corresponding to a welding session completed with a welding system, receiving a selected location from an operator, and displaying on a display one or more quality characteristics of the welding session corresponding to the selected location. The welding data includes welding parameters and quality characteristics corresponding to a plurality of points along a path of the welding session. The welding parameters include a work angle of a welding torch, a travel angle of the welding torch, a contact tip to work distance, a travel speed of the welding torch along the path of the welding session, an aim of the welding torch, or any combination thereof. The quality characteristics include porosity, undercut, spatter, underfill, overfill, or any combination thereof. The selected location corresponds to a point of the plurality of points along the path of the welding session.

Abstract: A welding system includes one or more sensing devices used to detect and/or determine a position and/or orientation of a welding tool (e.g., a welding torch). The welding tool may be tracked to determine (and/or calibrate) a shape of a welding joint and/or a path of the welding joint. The welding system may determine a virtual line representative of the welding joint. The welding tool may be tracked (and/or the virtual line used) to determine (and/or provide feedback relating to) various welding parameters, including at least a work angle of the welding tool, and/or a travel angle of the welding tool.

Abstract: Present embodiments include systems and methods for stick welding applications. In certain embodiments, simulation stick welding electrode holders may include stick electrode retraction assemblies configured to mechanically retract a simulation stick electrode toward the stick electrode retraction assembly to simulate consumption of the simulation stick electrode during a simulated stick welding process. In addition, in certain embodiments, stick welding electrode holders may include various input and output elements that enable, for example, control inputs to be input via the stick welding electrode holders, and operational statuses to be output via the stick welding electrode holders. Furthermore, in certain embodiments, a welding training system interface may be used to facilitate communication and cooperation of various stick welding electrode holders with a welding training system.

Abstract: Systems are disclosed relating to a mobile device mounted to a welding helmet such that a wearer of the welding helmet can see a display of the mobile device when wearing the welding helmet. In some examples, the mobile device is mounted such that a camera of the mobile device is unobscured and positioned at approximately eye level, facing the same way the wearer's eyes are facing. In some examples, the simulated training environment may be presented to the user via the display screen of the mobile device, using images captured by the camera of the mobile device, when the mobile device is so mounted to the welding helmet.

Abstract: A welding training system includes one or more welding operator device which provides positional feedback relevant to a quality weld. The positional feedback is analyzed and, when the positional feedback is outside of a predetermined range, a signal is provided to the welding operator. In one embodiment, tactile feedback is provided in a welding gun.

Abstract: Described herein are examples of weld tracking systems implemented via a welding helmet. The welding helmet includes weld tracking sensors configured to allow the welding helmet to track a welding-type tool and/or an arc generated by the welding-type tool. The welding helmet also includes helmet tracking sensors configured to allow the welding helmet to track its own position and/or orientation relative to a reference point in the welding environment. By tracking itself as well as the welding-type tool and/or arc, the welding helmet can differentiate between its own movement, and movement of the welding-type tool and/or arc. By implementing the weld tracking system in the welding helmet, the weld tracking system becomes portable and usable outside of the usual fixed confines of weld tracking systems.

Abstract: Described herein are examples of weld tracking systems. In some examples, a weld tracking system include weld tracking sensors configured to allow the weld tracking system to track a position and/or orientation of a welding-type tool, and/or an arc generated by the welding-type tool. In some examples, the weld tracking system evaluates certain welding technique and/or welding operation parameters based on the tracked position(s) and/or orientation(s), and/or offers corrective feedback. In some examples, one or more calibrations may be performed to aid in evaluation of the welding technique and/or welding operation parameters.

Abstract: Systems for simulating joining operations, such as welding, are disclosed. In some examples, a system may use a mobile device for conducting welding simulations, such as for purposes of training. In some examples, the system may additionally, or alternatively, use modular workpieces. In some examples, the system may additionally, or alternatively, conduct the welding simulation based on one or more selected pieces of welding equipment.

Abstract: Described herein are examples of smart welding helmets with arc time tracking verification and lens maintenance detection. In some examples, the arc time tracking verification checks whether certain conditions are satisfied before tracking the arc time. This may make arc time tracking more reliable by preventing tracking during certain false positive arc detection scenarios. In some examples, the lens maintenance detection notifies an operator to clean and/or replace their lens when the lens becomes substantially occluded (e.g., due to weld spatter) and/or has been in use for a certain amount of time (and/or arc time). This may assist operators who become too engrossed in their work to notice the gradual diminishment in visibility that can be caused by slow build up of weld spatter, debris, and/or other particulates on the cover lens.

Abstract: Described herein are examples of smart welding helmets having a plurality of functions that go beyond conventional welding helmets. For example, a smart welding helmet may be configured to detect if/when the helmet surpasses one or more temperature thresholds, which may alert an operator if they have been welding too close and/or for too long. Other example smart helmet functions may include the ability to display (and/or otherwise output) feedback/guidance and/or welding information, as well as communicate with appropriate personnel. In some examples, the smart welding helmet may be configured to selectively enable/disable certain functions of the smart welding helmet to accommodate the needs of a particular operator and/or groups of operators.

Abstract: Systems for simulating joining operations, such as welding, are disclosed. In some examples, a system may use a mobile device for conducting welding simulations, such as for purposes of training. In some examples, the system may additionally, or alternatively, use modular workpieces. In some examples, the system may additionally, or alternatively, conduct the welding simulation based on one or more selected pieces of welding equipment.

Abstract: Described herein are examples of torch tracking systems that monitor travel directions, speeds, and/or distances of welding torches using retractable cords. In some examples, the torch tracking systems use a sensor to measure a speed at which a reel extends and/or retracts a cord, and/or measure a length of the cord that is extended and/or retracted. The reel or cord can be attached to some portion of the welding torch, such that movement of the torch away from the reel causes the reel to extend more cord, and movement towards the reel allows a spring loaded spool of the reel to automatically retract the cord. While reel based torch tracking systems may provide coarser tracking than the more complex and/or expensive torch tracking solutions, their simplicity and low cost may make them an attractive alternative.

Abstract: Systems and methods for gas tungsten arc welding (GTAW) training systems are described. In some examples, a GTAW training system includes a GTAW torch and filler rod attachment having one or more markers to facilitate position and/or orientation detection and/or tracking of the GTAW torch and/or filler rod. One or more sensors of the GTAW training system may be configured to capture data relating to the markers of the GTAW torch and/or filler rod attachment. A training controller of the GTAW training system may use the markers and/or sensor data to track and/or determine positions, orientations, and/or movement of the GTAW torch and/or filler rod. The positions, orientations, and/or movement may be analyzed in conjunction with welding parameter data to provide training feedback.

Abstract: Described herein are examples of smart helmet modules that can be affixed to conventional welding helmets. In some examples, a smart helmet module may include one or more sensors configured to detect if/when welding is occurring, and/or whether a welding helmet is being worn in an up or down position, or not at all. In some examples, a smart helmet module may include one or more helmet devices configured to automatically activate or deactivate based on whether welding is taking place and/or the welding helmet is being worn up, down, or not at all.

Abstract: Described herein are examples of smart helmet modules that can be affixed to conventional welding helmets. In some examples, a smart helmet module may include one or more sensors configured to detect if/when welding is occurring, and/or whether a welding helmet is being worn in an up or down position, or not at all. In some examples, a smart helmet module may include one or more helmet devices configured to automatically activate or deactivate based on whether welding is taking place and/or the welding helmet is being worn up, down, or not at all.

Abstract: A system includes one or more sets of reflective visual markers, a light source configured to emit light, and a controller communicatively coupled to the light source. Each set of reflective visual markers is coupled to a component of a welding system. Each reflective visual marker is configured to reflect the emitted light received from the light source towards one or more cameras. The controller is configured to control illumination settings of the light source based at least in part on a status of the welding system being utilized to perform a live-arc welding operation.

Abstract: A welding helmet for detecting arc data is provided. One embodiment of the welding helmet includes an arc detection system configured to detect one or more welding arcs that occur during one or more welding operations. The welding helmet also includes control circuitry configured to count a number of the one or more welding arcs detected by the arc detection system. The welding helmet includes a storage device configured to store the number of the one or more welding arcs.

Abstract: An example weld training system includes: an orientation device; a mobile device; and a mount configured to attach the mobile device to a welding accessory, wherein the mobile device comprises: one or more sensors including at least a camera; a processor; and a machine readable storage device storing machine readable instructions which, when executed by the processor, cause the processor to: recognize identifiers on the orientation device based on images captured via the camera; determine at least one of position information or orientation information for a welding torch with respect to the orientation device based on the recognized identifiers; and display, via a display of the mobile device, a welding operation based on the at least the position information or the orientation information.

Abstract: Systems and methods for a weld training system are disclosed. An example weld training system includes: a mobile device configured to be attached to a welding accessory using a mount, the mobile device comprising one or more sensors, wherein the mobile device is configured to: gather, via the one or more sensors of the mobile device, information indicative of dynamic position or orientation of the mobile device during a welding procedure; and display, via a display of the mobile device, a welding environment based on the information.

Abstract: A welding system includes one or more cameras and a controller coupled to the one or more cameras. The one or more cameras are configured to detect a plurality of sets of visual markers of a welding device, where each each set is oriented in a respective marker direction. The controller is configured to determine one or more marker directions of one or more respective sets of visual markers based on a detected set of visual markers, to select one of the sets of visual markers as a tracked set of visual markers based at least in part on a determined marker direction of the tracked set of visual markers, to associate a rigid body model to the tracked set of visual markers, and to determine a position and an orientation of the welding device based on the associated rigid body model of the tracked set of visual markers.