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: Described herein are examples of weld training systems that perform welding technique monitoring as part of the training regime. In particular, the disclosed weld training systems implement a fast, simple, and intuitive process for calibrating a system to recognize joint characteristics later used to monitor (and/or provide feedback regarding) welding technique. In some examples, the weld training systems may even be able to recognize some joint characteristics, and perform some crude welding technique monitoring, with almost no calibration at all, which can be of enormous help where an operator forgets, or is unwilling to take the time to fully calibrate the system(s).

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 knowing the spatial relationship between the different sensors of the welding helmet, the tracking information can be combined and used for weld tracking. 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 tool based welding technique monitoring systems that provide an inexpensive, intuitive, and relatively robust way of tracking an orientation of a welding-type tool, and providing welding technique feedback based on the orientation. The system requires no sensors apart from a simple and/or relatively inexpensive sensor module that can be mounted to travel with the welding-type tool, which makes the system highly portable. Additionally, calibration of the system can be accomplished with fast, simple, intuitive calibration techniques.

Abstract: Systems are disclosed relating to a weld module for weld training systems. In some examples, a weld module is configured for attachment to (and/or detachment from) a plug of a welding tool (e.g., welding torch, gun, stinger, foot pedal, etc.). The weld module may be configured to detect tool events based one or more signals received from the plug of the welding tool. The weld module may communicate the tool events to the weld training system for use during a weld simulation, for example.

Abstract: Disclosed example weld tracking system include a plurality of tracking anchors, each of the tracking anchors configured to: transmit a triggering signal, and transmit a response signal, or receive a response signal from a tracking tag; a welding device having the tracking tag attached to the welding device, the tracking tag configured to receive the triggering signal and receive the response signal, or receive the triggering signal and transmit the response signal in response to receiving the triggering signal; and a processing system configured to determine a distance between the tracking anchor and the tracking tag based on a time between the response signal being received and the triggering signal being sent or received, and determine a location of the welding device based on predetermined locations of the plurality of tracking anchors, and based on determined distances between the at least one tracking tag on the welding device and corresponding ones of the plurality of tracking anchors.

Abstract: Apparatus, systems, and/or methods are disclosed relating to welding systems that monitor welds performed by an operator. In some examples, the welding system monitors one or more welds performed using a welding tool, evaluates characteristics of the one or more welds in comparison to certain predetermined criteria, and determines a performance score for the operator based on the evaluation. In some examples, the characteristics of the one or more welds include the location of each of the one or more welds and/or the order in which the one or more welds are executed. In such an example, the predetermined criteria may include target locations for each of the one or more welds and/or a target order of execution. In some examples, the welding system may respond to deviations from the target locations and/or target order, such as by reducing a performance score, disabling weld operations, providing guidance to the operator, etc.

Abstract: Described herein are examples of tool based welding technique monitoring systems that provide an inexpensive, intuitive, and relatively robust way of tracking an orientation of a welding-type tool, and providing welding technique feedback based on the orientation. The system requires no sensors apart from a simple and/or relatively inexpensive sensor module that can travel with the welding-type tool, which makes the system highly portable. The system can also provide some feedback with minimal calibration, which can be valuable in situations where an operator forgets, or is unwilling, to take the time to fully calibrate the system. Additionally, full calibration of the system can be accomplished with a fast, simple, intuitive calibration technique.

Abstract: Described herein are examples of tool based welding technique monitoring systems that provide an inexpensive, intuitive, and relatively robust way of tracking an orientation of a welding-type tool, and providing welding technique feedback based on the orientation. The system requires no sensors apart from a simple and/or relatively inexpensive sensor module that can travel with the welding-type tool, which makes the system highly portable. The system can also provide some feedback with minimal calibration, which can be valuable in situations where an operator forgets, or is unwilling, to take the time to fully calibrate the system. Additionally, full calibration of the system can be accomplished with a fast, simple, intuitive calibration technique.

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 are disclosed relating to a weld module for weld training systems. In some examples, a weld module is configured for attachment to (and/or detachment from) a plug of a welding tool (e.g., welding torch, gun, stinger, foot pedal, etc.). The weld module may be configured to detect tool events based one or more signals received from the plug of the welding tool. The weld module may communicate the tool events to the weld training system for use during a weld simulation, for example.

Abstract: Apparatus, systems, and/or methods are disclosed relating to welding systems that monitor welds performed by an operator. In some examples, the welding system monitors one or more welds performed using a welding tool, evaluates characteristics of the one or more welds in comparison to certain predetermined criteria, and determines a performance score for the operator based on the evaluation. In some examples, the characteristics of the one or more welds include the location of each of the one or more welds and/or the order in which the one or more welds are executed. In such an example, the predetermined criteria may include target locations for each of the one or more welds and/or a target order of execution. In some examples, the welding system may respond to deviations from the target locations and/or target order, such as by reducing a performance score, disabling weld operations, providing guidance to the operator.

Abstract: Apparatus, systems, and/or methods are disclosed relating to welding systems that allow for virtual marking of welding workpieces. In some examples, a virtual marking process of the welding system generates and/or displays one or more markings on a display of the welding system in response to a dynamic input. In some examples, the dynamic input may comprise one or more of a user input received via a user interface, a marking instrument, and/or a welding gun of the welding system. In some examples, the dynamic input may comprise images captured by the welding system and recognized by the welding system as indicating markings. In some examples, the markings may guide an operator by indicating weld locations and/or weld order. In some examples, the markings may include embedded marking data (and/or metadata) that may be accessed and/or displayed to provide additional information and/or guidance to the operator.

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 tool based welding technique monitoring systems that provide an inexpensive, intuitive, and relatively robust way of tracking an orientation of a welding-type tool, and providing welding technique feedback based on the orientation. The system requires no sensors apart from a simple and/or relatively inexpensive sensor module that can travel with the welding-type tool, which makes the system highly portable. The system can also provide some feedback with minimal calibration, which can be valuable in situations where an operator forgets, or is unwilling, to take the time to fully calibrate the system. Additionally, full calibration of the system can be accomplished with a fast, simple, intuitive calibration technique.

Abstract: Connection boxes for gas tungsten arc welding (GTAW) training systems are described. In some examples, a connection box of the GTAW training system coordinates delivery of welding-type power to a GTAW torch during training. In some examples, a remote control (e.g., foot pedal) may be activated at different levels to command different levels of welding-type power be delivered to the GTAW torch from a welding-type power supply. In some examples, the connection box may selectively enable or disable communication between the remote control and welding-type power supply during training. In some examples, this selective enablement/disablement may be based on whether the GTAW training system is in a live-arc mode or simulation mode.

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: A welding system includes a welding torch. The welding torch includes a sensor configured to detect a motion associated with the welding torch, a temperature associated with the welding torch, or some combination thereof. A display of the welding torch is activated, a determination is made that the welding torch has been involved in a high impact event, live welding using the welding torch is disabled, a software selection is made, or some combination thereof, based on the motion, the temperature, or some combination thereof.

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: 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 knowing the spatial relationship between the different sensors of the welding helmet, the tracking information can be combined and used for weld tracking. 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.