A method for quality inspection of laser material processing includes performing laser material processing on a workpiece and generating, by a sensor, raw image data of secondary emissions during the laser material processing of the workpiece. The method also includes determining a quality of the laser material processing by analyzing the raw image data of the secondary emissions.

Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.

A method for analysing the quality of a weld bead in a welding zone using a thermal camera. A thermal image (IMG) of a given area is divided into a plurality of sub-areas each having a respective temperature (Ti). During a learning step, the temperature evolution (Ti(t)) of each sub-area is monitored for different welding conditions. During a training step, the temperature evolutions (Ti(t)) are processed for training a classifier (304). For this purpose, a respective cooling curve is extracted (302) from each temperature evolution (Ti(t)), and parameters (F) are determined that identify the shape of each cooling curve. The parameters (F) are used as input features for the classifier (304). In normal operation the temperature evolution (Ti(t)) of each sub-area (Ai) is monitored and the classifier (304) estimates weld quality (S).

The first database 38 outputs the welding current 44, the energization time 46, and the pressing force 48, etc. corresponding to the basic elements 32 including the kind of material, the thickness of material and the type of electrode. The second database 40 outputs the trend formula 52 used for correcting the output from the first database 38 depending on the property of the additional element 34. The element selecting device 36 selects an element and performs searching in the databases 38 and 40. The operating device 42 executes a correction operation process for applying the search result in the second database 40 to the search result in the first database 38, and outputs the welding condition 50 including the welding current 44, the energization time 46, and the pressing force 48.

The present disclosure relates to a portable production machine, a mobile terminal, a production system having a portable production machine and a mobile terminal, and a method for capturing data. According to aspects of the disclosure, on the production machine - which can be, for example, a welding machine or cutting machine - production data is automatically captured, organized into data sets, and converted into data set images, which are displayed on a display device. The displayed data set images are captured with a mobile terminal and transmitted to a central server. As a result, a plurality of production machines can be incorporated into a data system without the need for any changes to the hardware in the production machines.

A method is provided for determining whether post-weld heat treatments should be required for external attachment welds in applications where stress corrosion cracking is a possibility. According to the method, residual stress values are measured in test samples welded at high input heat levels and test samples welded at low input heat levels for a variety of different wall thickness. A threshold residual stress level is determined according to a method of selecting a common pipe used in industry and measuring the residual stress level in the longitudinal seam of the pipe. The measured residual stress values for the high and low heat input welds are compared against the threshold to determine whether for a particular wall thickness, the high and low input data exceeds the threshold, indicating whether post-weld heat treatments are required.

A method is specified for determining a size of a defect occurring in a surface region of a component while a surface modification process is performed on the surface region. The method includes identifying an occurrence of a defect occurring in a surface region of a component on a basis of a set of images and determining a size of the defect in a separate method step from the occurrence of the defect identified. In addition, an apparatus and a computer program are specified for determining a size of a defect occurring in a surface region of a component while a surface modification process is performed on the surface region.

A method for checking quality when resistance-welding workpiece includes pressing welding electrodes with an electrode force against a weld spot of the workpieces using an electrode drive and energizing the welding electrodes with a welding current for a duration of a welding time in order to liquefy a surface of the workpieces. The method further includes determining, at a first time before a beginning of the liquefaction, a first value of a welding electrode parameter identifying a position of one or both electrodes, and determining, at a second time after the beginning of the liquefaction, a second value of the welding electrode parameter identifying a position of one or both electrodes. The method further includes comparing the first value and the second value and, evaluating a quality of the welding process based on the comparison.

System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.

A detection apparatus according to one aspect of this disclosure includes: two or more housings connectable to each other; a first photodetector connectable to a corresponding one of the two or more housings; and a second photodetector connectable to a corresponding one of the two or more housings. Each of the housings includes a first connecting portion to which the first photodetector is connectable, a second connecting portion to which the second photodetector is connectable, and a third opening facing the first connecting portion. At least one of the housings includes a dichroic mirror placed between a first opening and the third opening. The dichroic mirror allows light having a first wavelength in incident light from the third opening to pass through the dichroic mirror toward the first opening, while the dichroic mirror reflects light having a second wavelength in the incident light toward the second opening.