In a method and device for assessing the quality of a processing operation, a workpiece with specific processing parameters is processed along a processing trajectory. The (X), wherein the processing result is measured by at least one sensor and at least one sensor signal is recorded and at least one quality parameter is determined based on at least one sensor signal and the at least one quality parameter is compared with quality parameter threshold values to assess the quality of the processing result. During the assessment of the processing operation quality, changes made to the processing parameters from target values during the processing are automatically taken into consideration, in that, instead of the quality parameter threshold values, quality parameter threshold values adapted to the changes in the processing parameters are determined, and the at least one quality parameter for assessing the quality of the processing result is compared with the adapted quality parameter threshold values.

According to one embodiment, a processing system teaches an operation to a robot. The robot includes a detector including detection elements arranged along first and second directions, and a manipulator to which the detector is mounted. The processing system performs position teaching processing. The position teaching processing includes causing the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The position teaching processing includes calculating a center position of the weld portion in a first plane based on first intensity data of an intensity of the reflected wave, setting a teaching point of the robot based on a first position of the detector, and moving the detector along the first plane to a second position, and setting the teaching point based on the second position.

Positions of both end edges of a weld bead in a bead width direction are measured over the entire circumference of a liner in a circumferential direction of the liner. Based on information on the position of the end edge, bead profile information being information on a shape of the end edge of the weld bead over the entire circumference of the liner in the circumferential direction is created. Based on this bead profile information, machining information of the liner per rotation of the liner being position information of a cutting tool in the bead width direction per phase in the circumferential direction of the liner is created so that a moving locus of the cutting tool relative to the liner along the circumferential direction of the liner approximates the shape of the end edge of the weld bead over the entire circumference of the liner in the circumferential direction.

Embodiments of welding work cells are disclosed. One embodiment includes a workpiece positioning system, a welding power source, and a welding job sequencer. The workpiece positioning system powers an elevating motion and a rotational motion of a workpiece mounted between a headstock and a tailstock to re-position the workpiece for a next weld to be performed. The welding power source generates welding output power based on a set of welding parameters of the power source. The welding job sequencer commands the workpiece positioning system to re-position the workpiece from a current position to a next position in accordance with a next step of a welding sequence of a welding schedule. The welding job sequencer also commands the welding power source to adjust a current set of welding parameters to a next set of welding parameters in accordance with the next step of the welding sequence of the welding schedule.

The work program production system includes a photographing unit that photographs an image including an object to be welded, a coordinate system setting unit that sets a user coordinate system based on a marker included in the image photographed by the photographing unit, a point-group-data plotting unit that detects a specific position of the marker on the basis of the image, sets the detected specific position on point group data acquired by a distance measurement sensor that measures a distance to the object to be welded, and plots, in the user coordinate system, the point group data to which coordinates in the user coordinate system using the set specific position as an origin are given, and a program production unit that produces a welding program so as to allow a welding robot virtually placed in the user coordinate system to perform a welding operation on the basis of the point group data plotted in the user coordinate system, while avoiding interference with the point group data.

A controller calculates a correction amount of a position of a robot 1 at a movement point in a first movement path, and drives the robot 1 in a second movement path obtained by correcting the first movement path. The controller includes a second camera configured to detect a shape of a part after a robot apparatus performs a task, and a variable calculating unit configured to calculate, based on an output of the second camera, a quality variable representing quality of a workpiece. When the quality variable deviates from a predetermined determination range, a determination unit of the controller determines that the position or an orientation of the robot 1 needs to be modified based on a correlation between the correction amount of the position in the first movement path and the quality variable.

A manufacturing monitoring assistance device includes: a model creation unit creating a computation model when a product as a sample is normal, based on a three-dimensional form acquired from the product; a simulation unit creating a corrective computation model when the product is abnormal, by adding a sample of an abnormal portion in the product to the created computation model, and performing a simulation on each of the computation model and the corrective computation model; and a monitoring method determination unit determining a method for monitoring a manufacturing process for the product, based on an abnormality index being a difference between an output from a sensor as a result of the simulation performed on the computation model and an output from a sensor as a result of the simulation performed on the corrective computation model, and causing an output device to display the determined method and the abnormality index.

A teaching apparatus includes circuitry. The circuitry is configured to obtain result information corresponding to a position of a worked region on a workpiece. The circuitry is configured to generate first teaching information based on the result information. The first teaching information specifies a motion of an examination robot configured to examine the workpiece that has undergone work.

Various systems and methods are provided that allow a weld sequencer to use a statistical analysis of generated reports to automatically determine weld parameter limits for the welds defined by various functions in a sequence file. For example, the weld sequencer can take reports generated for a specific type of part and statistically analyze the weld data included in the reports according to a set of analysis parameters provided by a user. The weld sequencer can use the statistical analysis to identify and remove outlier data and define a set of weld parameter limits based on the remaining data. The weld parameter limits can define a low limit and/or a high limit for one or more weld parameters associated with a function. The weld sequencer can then update the sequence file to include the weld parameter limits.

A repair welding device includes an acquisition unit configured to acquire an appearance inspection result including information about a position of a defective portion of a weld bead of a welded workpiece produced by a main welding that is executed by a welding robot, and a robot control unit configured to set a plurality of interpolation points on a virtual welding line of the main welding executed by the welding robot and instruct the welding robot to execute a repair welding on an interpolation point that is closest to the acquired position of the defective portion. The virtual welding line is simulated based on a main welding program for executing the main welding.