In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

A system may include at least one sensor, at least one machining device, and a computing device. The computing device may be operable to control the at least one sensor to inspect at least a portion of a coversheet of a dual walled component to generate dimensional surface data for the at least a portion of the coversheet and compare the dimensional surface data to surface model data. The comparison may indicate portions of the coversheet that include additional material. The computing device also may be operable to generate a compromise surface model based on the comparison between the dimensional surface data and the surface model data and control the at least one machining device to machine the dual walled component based on the compromise surface model to remove the additional material.

A machined surface quality evaluation device includes a machine learning device that learns a result of evaluation on machined surface quality of a workpiece by an observer which correspond to an inspection result on the machined surface quality of the workpiece. The machine learning device observes the inspection result on the machined surface quality of the workpiece as a state variable, acquires label data indicating the result of the evaluation on the machined surface quality of the workpiece by the observer, and learns the state variable and the label data in a manner such that they are correlated each other.

A control system of a machine tool includes an analysis device, the analysis device includes acquisition portions which acquire chronological speed control data when a work is machined and which acquire spatial machined surface measurement data after the machining of the work, a data-associating processing portion which associates the speed control data and the machined surface measurement data with each other, a machined surface failure detection portion which detects a failure depth of a failure location on the machined surface of the work and an identification portion which identifies the control data of the failure location corresponding to the machined surface measurement data of the failure location so as to identify a failure depth corresponding to the control data of the failure location and the numerical control device corrects the control data based on the control data of the failure location and the corresponding failure depth.

A device capable of easily defining an area other than a surface to be inspected of a workpiece. The device includes a drawing acquisition section for acquiring drawing data of the workpiece; a designation reception section for receiving specification of the surface to be inspected of the workpiece in the drawing data; and a non-inspection area calculation section for calculating, as a non-inspection area, an image area other than the surface to be inspected in an image in a view of the imaging section when the workpiece and the imaging section are positioned at an imaging position at which at least a part of the surface to be inspected as specified falls within the view of the imaging section.

A numerical control system of a machine tool includes an analysis device. The analysis device includes acquisition portions which acquire chronological speed control data when the work is machined and which acquire spatial machined surface measurement data after the machining of the work, a data-associating processing portion which associates the speed control data and the machined surface measurement data with each other, a machined surface failure detection portion which detects failures on the machined surface of the work, an identification portion which identifies the speed control data of failure locations corresponding to the machined surface measurement data of the failure locations, a failure interval detection portion which detects the interval of the failures and a calculation portion which calculates the frequency of vibrations based on a machining speed based on the speed control data of the failure locations and the interval of the failures.

A robotic system is presented that includes a surface inspection system that receives sampling information for a number of areas within a region of a worksurface. The system also includes a robotic arm, coupled to a surface engaging tool, the robotic repair arm being configured to cause the surface processing tool to engage the region of the worksurface. The system also includes a process mapping system configured to, based on the sampling information: approximate a surface topography in the region of the worksurface, generate a surface processing plan for the region based on the approximated surface topography that includes a trajectory. The surface processing plan includes one of: a force profile along the trajectory, a velocity profile for the surface engaging tool along the trajectory, a rotational speed profile, for the surface engaging tool, along the trajectory, or a trajectory modification that accounts for the presence of a surface feature identified in the approximated surface topography. The process mapping system is also configured to generate a control signal for the robotic arm that includes the surface processing plan.

A control system (1) according to the present invention comprises: a control device (100) that monitors the operation of a plurality of moving parts for machining a workpiece (155), and controls the operation of the plurality of moving parts in each control cycle by issuing command values to the plurality of moving parts; and an inspection device (200) for inspecting the workpiece (155). The control device (100) comprises: an identification unit (160) for identifying, based on inspection results of the inspection device (200) and the command values issued to the plurality of moving parts, which moving part from among the plurality of moving parts has caused an abnormality in the inspection results; and a storage unit (170) for collecting and storing data on the moving part that has been identified by the identification unit (160) and caused the abnormality in the inspection results.

There is provided a method for controlling a shape measuring apparatus which continues to perform nominal scanning measurement to a workpiece having a slightly large deviation from a design data. A scanning path to move a stylus tip is calculated based on design data of a workpiece. The stylus tip is moved along the scanning path. It is monitored whether a distance between the scanning path and an actual workpiece is excessive. When the distance between the scanning path and the actual workpiece is excessive, a trajectory difference error is generated. When the trajectory difference error is generated, geometric correction is performed to the design data so that the design data approaches to the actual workpiece. Scanning measurement is performed based on the design data after the geometric correction.

A method for qualitative and/or quantitative characterization of a coating surface is provided, comprising: providing a program recognizing coating surface defect types; determining, by the program, whether a camera(s) coupled to the program is within a predefined distance range and/or within a predefined image acquisition angle range relative to a currently presented coating surface; depending on the determination: generating a feedback signal indicative of whether adjustment of the position of the camera(s) is within predefined distance range and/or within the predefined image acquisition angle range; and/or automatically adjusting the relative distance of the camera and and/or automatically adjusting the angle of the camera; enabling the camera to acquire an image of the coating surface only when the camera(s) is/are within the predefined distance range and/or image acquisition angle range; processing the digital image for recognizing coating surface defects; and outputting a characterization of the coating surface.