The application relates to a device and to an assembly line for producing a supporting structure for a passenger transport system, such as an escalator, which have a sequential arrangement of semi- or fully automatically operating and mutually cooperating assembly stations and a sequential order of assembly steps. Each of the assembly stations can include at least one holding device and at least a welding robot as well as, optionally, at least one handling robot. The assembly stations are configured in such a way that intermediate products can be produced efficiently by respective assembly steps. Each can be coordinated with a subsequent assembly station, so that the intermediate products can be passed sequentially with optimized short cycle times from assembly station to assembly station, to be able to provide a finished, load-bearing supporting structure at the end of the sequence.

This joining apparatus, which is a joining component manufacturing apparatus, comprises a pressing-force-applying means that applies a pressing force for pressing a second joining part that is formed on a second workpiece toward a first joining part that is formed on a first workpiece. The joining apparatus is provided with a laser light irradiation device that irradiates a site where the first joining part and the second joining part are brought close together with laser light. The pressing-force-applying means and the laser light irradiation device move as an integrated unit along the direction of extension of the first joining part and the second joining part due to a movement device.

Systems and methods include a system for installing insulation sleeves on pipelines. A portable welding robot is configured to weld a plug base longitudinally along a top edge of a pipeline. The plug base supports plugs configured to engage with holes in both overlapping sides of an insulation sleeve configured to insulate the pipeline. A portable pipeline insulation installation fixture is configured to lift the insulation sleeve and install the insulation sleeve around the pipeline including using electric hoists to lift ends of strands beneath and on either side of the pipeline. Each strand is enclosed in an external tube configured to contact and roll along the insulation sleeve and to rotate relative to the strand. The external tubes are configured to wrap the insulation sleeve around the pipeline.

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 invention features a computer-implemented method of planning a processing path relative to a three-dimensional workpiece for a plasma arc cutting system coupled to a robotic arm. The method includes receiving input data from a user comprising (i) Computer-Aided Design (CAD) data for specifying a desired part to be processed from the three-dimensional workpiece, and (ii) one or more desired parameters for operating the plasma arc cutting system. A plurality of features of the desired part to be formed on the three-dimensional workpiece are identified based on the CAD data. The method also includes dynamically filtering a library of cut charts based on the plurality of features and the desired operating parameters to determine a recommended cut chart for processing the plurality of features. The method further includes generating the processing path based on the recommended cut chart and the plurality of features to be formed.

The disclosure provides a method for preparing a multiple-material variable-rigidity component by efficient collaborative additive manufacturing, relates to the technical field of additive manufacturing. In the disclosure, the method comprises: pretreating a component structure model and dividing the component structure model into a lightweight part with complex pore structures and a solid part that needs to be manufactured rapidly; preparing the lightweight part by a selective laser melting prototyping; performing a surface treatment on the prepared lightweight part to obtain a treated lightweight part; preparing the solid part on the treated lightweight part by a wire arc additive manufacturing, to obtain a component.

An example diagnosis system determines a state of a target device that includes a work apparatus. The diagnosis system includes circuitry that is configured to acquire first data generated in response to operating the work apparatus at a first pressure, configured to acquire second data generated in response to operating the work apparatus at a second pressure, configured to calculate a feature quantity indicating a relation between the first data and the second data, and configured to determine the state of the target device based on the feature quantity.

Systems and methods include a system for installing insulation sleeves on pipelines. A portable welding robot is configured to weld a plug base longitudinally along a top edge of a pipeline. The plug base supports plugs configured to engage with holes in both overlapping sides of an insulation sleeve configured to insulate the pipeline. A portable pipeline insulation installation fixture is configured to lift the insulation sleeve and install the insulation sleeve around the pipeline including using electric hoists to lift ends of strands beneath and on either side of the pipeline. Each strand is enclosed in an external tube configured to contact and roll along the insulation sleeve and to rotate relative to the strand. The external tubes are configured to wrap the insulation sleeve around the pipeline.

A method of correcting angles of a welding torch positioned by a user while training a robot of a robotic welding system is provided. Weldment depth data of a weldment and a corresponding weld seam is acquired and 3D point cloud data is generated. 3D plane and intersection data is generated from the 3D point cloud data, representing the weldment and weld seam. User-placed 3D torch position and orientation data for a recorded weld point along the weld seam is imported. A torch push angle and a torch work angle are calculated for the recorded weld point, with respect to the weldment and weld seam, based on the user-placed torch position and orientation data and the 3D plane and intersection data. The torch push angle and the torch work angle are corrected for the recorded weld point based on pre-stored ideal angles for the weld seam.

A method of programming multiple weld passes in a collaborative robot welding system to perform multi-pass welding is provided. A root pass is programmed for a first weld seam by manually positioning a welding torch and automatically recording root pass position and angle data. Secondary passes for the first weld seam are also programmed. The tip of the welding torch is positioned at a start point and a stop point for each secondary pass. The start and stop position data of the start point and the stop point are automatically recorded for each secondary pass. Numerical position and angle offset data are automatically calculated. The root pass position and angle data and the offset data are stored as a multi-pass template. The template is translated and applied to a weld reference frame of a second weld seam to aid in programming secondary passes for the second weld seam.