A system for welding vehicle component assemblies includes a measurement sensor configured to scan first and second vehicle components, a welding apparatus configured to weld the first vehicle component and the second vehicle component together, and at least one processor configured to execute computer-executable instructions to access scan data of the first and second vehicle components, generate a CAD model of an as-scanned assembly of the first and second vehicle components, obtain input parameters associated with one or more features of the first and second vehicle components, generate predicted optimal welding parameters, using the machine learning model, based on CAD model and the input parameters, and control the welding apparatus to perform at least one welding operation on the first and second vehicle components according to the predicted optimal welding parameters.

The present application discloses a system and method for an automated or semi-automated welding operation with minimal input from an operator on a workpiece using a programmable logic controller (PLC) communicatively coupled to a non-transitive memory device and a welding machine. The present application uses the PLC to obtain information from a technical drawing stored in the memory device and default values of welding parameters for the welding operation. The PLC calculates a first rotational speed and performs the welding operation on the first portion of the workpiece based on the first instruction received from the PLC. If the welding parameters need to be adjusted during the welding operation, new welding parameters are obtained from the technical drawing and the PLC re-calculates a second rotational speed for the workpiece and performs the welding operation based on the second instruction received from the PLC.

An ignition device for welding equipment includes a capacitor, a transformer, a high voltage output circuit connected to a secondary winding of the transformer, a discharging switch enabling discharge of the capacitor to a primary winding of the transformer, a charger and an operation control circuit that controls the charger and the discharging switch.

A machining route display device includes a positional information acquiring section configured to acquire positional information of a drive shaft in a predefined control cycle, a laser machining head coordinate calculator configured to calculate a coordinate value of the laser machining head from the positional information of the drive shaft and machine configuration information of a laser machine, a laser output acquiring section configured to acquire a laser output value from a laser, a display format setting section configured to set a display format of the laser according to the laser output value acquired by the laser output acquiring section, and a display section configured to display a machining route based an the coordinate value of the laser machining head and the display format.

The present disclosure teaches systems and methods for robotic welding of studs onto the surface of I-beams. These systems and methods will find industrial applicability in, for example, the steel erection industry.

An apparatus (10) for joining a predetermined geometrical profile shape from a sheet material (SM) includes a positioning assembly (12) including a base member (14) and a frame (16) that is operable to receive the sheet material (SM), to configure the sheet material in a predetermined orientation and to linearly translate the sheet material along a process direction (20). A Z-bar (22) is configured to guide a first longitudinal edge (FE) and second longitudinal edge (SE) of the sheet material (SM) into adjacent alignment along the process direction (20). A welding and forging assembly (60) welds and then forges a seam between the first longitudinal edge (FE) and the second longitudinal edge (SE) of the associated sheet material (SM).

A movement device, particularly for cutting torches, comprising a working head that can move along three Cartesian axes which are mutually perpendicular and supports a cutting torch for cutting mechanical pieces, elements being further comprised for combined rotary and translational motion of the cutting torch with respect to the working head which comprises a first pinion which is adapted to transmit the motion to a disk-like element supporting an articulated parallelogram structure which in turn supports the cutting torch, and a second pinion which is arranged coaxial to the first pinion and is actuated by further drive elements, the second pinion actuating a conical pair formed by a third and a fourth pinion, the fourth pinion transmitting the motion to mechanical transmission elements which are integral with the articulated parallelogram structure.

Systems and methods NC plasma cut a metal fabric based upon a two-dimensional cutting path. An NC cutting machine is controlled to make a first pass along the cutting path with the laser height measuring device to collect height data from the metal fabric positioned on a bed of the NC cutting machine. Positions for starting and stopping a plasma arc of a cutting torch of the NC cutting machine are determined based upon the height data. An enhanced NC program is generated based upon the cutting path, the height data, and the positions for starting and stopping the plasma arc, to control the NC cutting machine to cut metal of the metal fabric along the cutting path.

In some examples, an autonomous robotic welding system comprises a workspace including a part having a seam, a sensor configured to capture multiple images within the workspace, a robot configured to lay weld along the seam, and a controller. The controller is configured to identify the seam on the part in the workspace based on the multiple images, plan a path for the robot to follow when welding the seam, the path including multiple different configurations of the robot, and instruct the robot to weld the seam according to the planned path.

The present disclosure teaches systems and methods for robotic welding of studs onto the surface of I-beams. The systems and methods use machine vision to identify and locate welding sites on a surface of a beam or girder, moves and aligns studs to the welding sites, and welds studs to the surface at these sites.