A time-based short circuit response is employed when a short circuit event occurs during a welding process. When short circuit occurs, a time until a predetermined event in the welding process is determined. Based on the time remaining before the predetermined event, a particular short circuit response is executed.

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.

Methods and apparatus to synergically control a welding-type output during a welding-type operation are disclosed. An example welding-type power supply includes a power conversion circuit configured to convert input power to welding-type power and to output the welding-type power to a welding-type torch; a communication circuit configured to receive a control signal from a remote-control device during a welding-type operation; and a control circuit configured to synergically control at least two of a voltage of the welding-type power output by the power conversion circuitry, a current of the welding-type power, or a wire feed speed.

A data structure for weld programs associates configuration data for a welding system with a plurality of weld programs and weld sequence data. The data structure allows the welding system to be configured for a particular part, operator, or stage in a welding process, and to be easily reconfigured when the part, operator, or stage changes, providing improved efficiency and flexibility in operation.

A weld production knowledge system for processing welding data collected from one of a plurality of welding systems, the weld production knowledge system comprising a communication interface communicatively coupled with a plurality of welding systems situated at one or more physical locations. The communication interface may be configured to receive, from one of said plurality of welding systems, welding data associated with a weld. The weld production knowledge system may comprise an analytics computing platform operatively coupled with the communication interface and a weld data store. The weld data store employs a dataset comprising (1) welding process data associated with said one or more physical locations, and/or (2) weld quality data associated with said one or more physical locations. The analytics computing platform may employ a weld production knowledge machine learning algorithm to analyze the welding data vis-à-vis the weld data store to identify a defect in said weld.

Systems, methods, and apparatus to control welding electrode preheating are disclosed. An example consumable electrode-fed welding-type system includes a welding-type current source configured to provide welding-type current to a welding-type circuit, the welding-type circuit comprising a welding-type electrode and a first contact tip of a welding torch; an electrode preheating circuit configured to provide preheating current through a first portion of the welding-type electrode via a second contact tip of the welding torch; an electrode preheating control circuit configured to adjust at least one of the preheating current or an electrode feed speed based on the change in the contact-tip-to-work-distance; and a current interpreter configured to determine a change in a contact-tip-to-work-distance of the welding torch based on at least one of the welding-type current or the preheating current.

A a multiple welding method having an improved starting process in which the control unit of the guide electrode starts welding-wire advancing of the guide electrode and sends a synchronization signal to the control unit of the trailing electrode when the guide electrode has moved a certain distance or for a certain time. The control unit of the trailing electrode starts welding-wire advancing of the trailing electrode in dependence on the received synchronization signal before the guide electrode touches the workpiece.

Method and arrangement for carrying out a multiple pulse welding method in which an ideal ratio between the root-mean-square value of the welding current and the welding wire feeding speed is determined from a known relationship between the pulse frequency and the welding wire feeding speed, an actual root-mean-square value of the welding current is determined by the welding current with the pulse frequency to be set, and at least one pulsed current parameter of the welding current of the pulse welding process and/or the welding wire feeding speed of the pulse welding process is changed in order to change the actual ratio to the ideal ratio.

In order to synchronize the at least two pulse welding processes performed simultaneously by welding devices in a multiple pulse welding process, the welding devices are connected to one another by a communication link and synchronization information is transmitted via the communication link from a transmitting welding device to at least one receiving welding device. The synchronization information is used in the receiving welding device to synchronize the pulse welding process performed by the receiving welding device with the pulse welding process performed by the transmitting welding device.

A welding bead modeling method for wire-arc additive manufacturing, a device therefor and a system therefor including using a dynamic parameter method, and using different welding process parameters in the same welding bead in the a wire-arc additive manufacturing process to obtain a welding bead with synchronous and dynamic changes in profile along with the dynamic changes of the welding process parameters. The method further comprising using a line laser sensor for scanning to obtain the segmented profile of the processed welding bead, and corresponding each welding bead profile to the welding process parameters one by one to train the neural network as training data, so as to obtain a welding bead modeling model capable of obtaining the corresponding welding bead profile according to the input welding process parameters.