A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a first determination unit configured to perform a first inspection determination related to a shape of the welding bead based on a comparison between the input data and a master data, k second determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to perform a second inspection determination related to a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting the input data, and a comprehensive determination unit configured to output a result of an appearance inspection of the welding bead to an output device based on determination results of the first determination unit and the k second determination units.

A method for optimizing manufacturing data in a subtractive manufacturing system includes obtaining a model of and tolerance requirements for an object to be manufactured and performing measurements on the manufacturing system in a static condition. The method further includes simulating a manufacturing process in the manufacturing system using the obtained static information to obtain runtime information, determining which manufacturing data is responsible for producing each feature of the manufactured object, simulating manufacturing of the object, and comparing the simulated finished product of the object with the three-dimensional model of the object, detecting a deviation between the simulated finished product and the obtained tolerance requirements included in the model, and based on the detected deviation and the determination of which manufacturing data is responsible for producing each feature, optimizing the manufacturing data such that an object manufactured based on the optimized manufacturing data complies with the obtained tolerance requirements.

The invention relates to a method (100) for controlling film production, in which at least one film is produced according to at least one formula information (R), the following steps being carried out: initiation of execution (210) of a film production process such that a film is produced on the basis of a specific formulation information (R); determination of monitoring information (I) during the execution (210) of the process; determination of at least one fingerprint (F) on the basis of the specific formula information (R) and on the basis of the monitoring information (I) such that the execution (210) of the process is characterised on the basis of the fingerprint (F); and comparison of the fingerprint (F) with a control matrix (M) such that at least one comparative result is determined in order to control the film production on the basis of the control matrix (M) as an evaluation basis.

A testing method of a human-computer combination quality testing system includes steps of: after manufacture, importing relevant CAD models, submitting the CAD models to a digital testing part for being examined; if a product is determined to be unqualified, returning the product for retreatment; if the product is determined to be qualified, submitting the product to a manual testing part for being examined by relevant inspectors; if the product is determined to be qualified by the inspectors, leaving the product as a qualified product; if the product is determined to be unqualified by the inspectors, returning the product for retreatment; then changing the relevant rule with a rule corrector of a system improving part according to a misjudging condition of the digital testing part; describing a corrected rule, which is corrected by the developer, by a rule descriptor; then applying the corrected rule to a system by a rule parser.

An example method of quality control, assessment, and inspection of parts and assemblies includes: receiving a component image data set comprising data representing at least an image of a portion of a component of a manufactured assembly; processing the received component image data set to interpret at least one characteristic of the component; routing a characteristic review data set comprising data representing the one or more interpreted characteristics; receiving an interpreted characteristic confirmation data set comprising signals representing a confirmation that one or more characterizations associated with the one or more interpreted characteristics is correct; and storing a confirmed component characteristic data set comprising at least data representing an identity of the component and data representing the confirmed characteristic.

Described is determining defects of an object produced using an additive manufacturing process, including: determining spatially resolved first data relating to n objects, the first data defines a process coordinate system for each of the n objects, determining measurement data relating to the n objects by imaging the n objects, the measurement data defines, for each of the n objects, an object representation in a measurement coordinate system, determining which coordinates of at least one section of the measurement coordinate system are defect coordinates assigned to a defect in the object representation; correlating the at least one section with a corresponding section the process coordinate system in order to collect training data, training an adaptive algorithm for determining defect coordinates in spatially resolved data, by means of the training data, determining spatially resolved second data and analysing the second data for defects by means of the adaptive algorithm.

A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. In the system and method, a marker is placed on the 3D printed component or on a support structure attached to the 3D printed component. The marker may be printed while the 3D printed component and the support structures are printed by a 3D printer. After printing, the marker may then be sensed to determine one or more cutting paths between the 3D printed component and the support structures. The 3D printed component may then be autonomously separated from the support structures by cutting through the cutting path.

A method, system, and computer program product for optical inspection of objects. The method projects an optical test line on a device under test. A frame is captured of the optical test line projected onto the device under test. The method provides a reference line for the device under test and compares the reference line and the optical test line within the frame. The method generates a visual quality determination based on the comparison of the reference line and the optical test line.

A method where deviations of a characteristic of an image simulated by two different process models or deviations of the characteristic simulated by a process model and measured by a metrology tool, are used for various purposes such as to reduce the calibration time, improve the accuracy of the model, and improve the overall manufacturing process.

A method for correcting tool parameters of a machine tool for machining workpieces includes recording measurement values of measured characteristics as actual values of at least one workpiece machined with the machine tool. The measurement values are compared with the default set values of the workpiece. The measurement values of at least two measured characteristics are recorded from at least two parameters of at least one measured characteristic and/or from at least one measured characteristic and from at least one parameter. An average for a tool correction value is calculated from the measurement values and the corresponding set values, with which a correction of the machine tool is performed.