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.

The present invention relates to a method for detecting changes in the ore grade of a rock face in near real time. The method includes the step of providing a scanning system having at least a hyperspectral imager, a position system, a LiDAR or range determination unit and computational resources. Further, the method involves determining a precise location of the scanning system utilising the position system. The rock face is scanned with the range determination unit to determine rock face position information. The method involves scanning the rock face with the hyperspectral imager to produce a corresponding rock face hyperspectral image. Further the method involves utilising the computational resources to fuse together the rock face position information and the corresponding rock face hyperspectral image to produce a rock face position and content information map of the rock face.

The present invention relates to examination of characteristics of silver nano-clusters self-arranged by means of reduction of silver salt to silver nanoparticles by means of 2-mercapto-thioxanthone on DNA and BSA in short photo-illumination duration of 1 second.

A laser soldering system and a method for monitoring a laser soldering process by means of a monitoring device of the laser soldering system, wherein a solder ball is dispensed onto a solderable surface of a substrate by means of a solder ball feeding device of the laser soldering system, wherein the solder ball is at least partially melted by means of a laser device of the laser soldering system, wherein, during the laser soldering process, a light signal is formed which is detected by means of an optical detection unit of the monitoring device, wherein the light signal is dispersed into a spectrum of the light signal by means of a spectroscope device of the monitoring device, wherein the spectrum is analyzed by means of a processing device of the monitoring device, and it is identified on the basis of a composition of the spectrum whether or not a burning of the substrate has occurred during the laser soldering process.

There is provided a quantitative method for determining a level of a sanding surface preparation of a carbon fiber composite surface, prior to the carbon fiber composite surface undergoing a post-processing operation. The quantitative method includes fabricating a ladder panel of levels of sanding correlating to an amount of sanding of sanding surface preparation standards for a reference carbon fiber composite surface of reference carbon fiber composite structure(s); using surface analysis tools to create target values for quantifying the levels of sanding; measuring, with the surface analysis tools, sanding surface preparation location(s) on the carbon fiber composite surface of a test carbon fiber composite structure, to obtain test result measurement(s); comparing the test result measurement(s) to the levels, to obtain test result level(s); determining if the test result level(s) meet the target values; and determining whether the carbon fiber composite surface is acceptable to proceed with the post-processing operation.

Provided are a system for monitoring a hydroxyl radical scavenging index in water using a real-time multi-fluorescence analyzer and a parallel factor analysis apparatus and a method therefor, wherein the system monitors the hydroxyl radical scavenging index in water using the real-time multi-fluorescence analyzer and the parallel factor analysis apparatus, whereby it is possible to monitor the characteristics of an organic material in target water through a continuous flow analysis method without using an existing indicator material, rhodamine B. In addition, in a water treatment system having an advanced oxidation process (AOP) applied thereto in which ozone, ultraviolet rays, hydrogen peroxide, and the like are combined, it is possible to simply calculate the hydroxyl radical scavenging index in the target water through an organic material characteristic index for each component obtained by classifying the characteristic structure of the organic material in water using real-time fluorescence analysis by means of a parallel factor (PARAFAC) model. Accordingly, the amount of chemical injection and the amount of ultraviolet irradiation, which are process control variables, can be controlled, and under given operating variable conditions, the removal rate of a target material in water is predicted, whereby the system can also be used as a diagnostic tool for process evaluation in the advanced oxidation process. Furthermore, the system can provide operational convenience that enables process control while reducing the amount of power consumed in the advanced oxidation process even though the type of target material and the water quality characteristics of raw water change.

The present description concerns a device for controlling parts being manufactured, comprising at least one image sensor configured to form, for each part at last one first image by thermography and at least one second image by polarimetry.

The monitoring and control of bioprocesses is provided. The present disclosure provides the ability to generate generic calibration models, independent of cell line, using inline Raman probes to monitor changes in glucose, lactate, glutamate, ammonium, viable cell concentration (VCC), total cell concentration (TCC) and product concentration. Calibration models were developed from cell culture using two different CHOK1SV GS-KO™ cell lines producing different monoclonal antibodies (mAbs). Developed predictive models, qualified using an independent CHOK1SV GS-KO™ cell line not used in calibration, measured changes in glucose, lactate, ammonium, VCC, and TCC with minor prediction errors over the course of cell culture with minimal cell line dependence. The development of these generic models allows the application of spectroscopic PAT techniques in a clinical manufacturing environment, where processes are typically run once or twice in GMP manufacturing based on a common platform process.

A system for detecting the operating condition of components of an implement may include an implement, a first sensor comprising one of an acoustic sensor or a vision-based sensor, a second sensor comprising the other of the acoustic sensor or the vision-based sensor, and a controller communicatively coupled to the first and second sensors. The controller may receive performance data from the first sensor indicative of a performance of the implement. The controller may further monitor the performance data received from the first sensor and identify an area of interest relative to the implement. Additionally, the controller may control an operation of the second sensor to collect component data indicative of an operating condition of at least one component of the implement located within the area of interest.

To efficiently search a processing condition of giving a desired target processing result, there is provided a processing condition determination system including a processing apparatus that processes a sample, a processing monitor system that monitors the state of the processing in the processing apparatus, and an analysis system that sets the processing condition of the processing apparatus of giving a target processing result, wherein the system includes a processing condition and result database that stores a set of an explanatory variable that is a processing condition under which the processing apparatus processes a sample and an objective variable that is the processing result obtained by the processing apparatus' processing the sample, and when the processing apparatus processes the sample under the processing condition set using the correlation model derived from the database and it is determined that a probability of failure occurrence becomes high, based on the monitor data of the processing monitor system, the processing apparatus stops the processing under the present processing condition and the analysis system resets a new processing condition.