Method for obtaining information from short-fibre-reinforced plastic components sequentially produced by an X-ray computed tomography. A learning phase includes: generating CT data sets for a random sample of plastic components from a production process; extracting at least one defect-free region of the plastic components; determining characteristic feature(s) in the extracted regions, relevance of individual features, and regions which are characteristic of the plastic component type and production process thereof, over a predetermined period of the plastic components productions, which exhibit considerable characteristic differences between good parts and reject parts; and defining the feature(s) with its characteristic as trained classifier. An application phase includes: generating a CT data set of the plastic component for inspection; classifying the inspection part based on the trained classifier; examining the characteristic of the feature(s) for a negative trend; and automatically provide a negative trend alert and/or change process parameters to counteract the negative trend.

A system for measuring microplastics in an aquatic environment is a system that provides practical and accurate means of assessing the presence of plastics in a body of water. The system may include an electronics housing, Electromagnetic (EM) radiation emitters, a photoresistor, a controller, a power source, and a fluid conduit. The electronics housing is a portable hermetic structure that protects the electronic and electrical components from water damage. The EM radiation emitters emit Ultraviolet (UV) light that is absorbed by the microplastics in the sample water being analyzed. The photoresistor detects the light emitted by the microplastics in the sample water after absorbing the UV light. The controller processes the sensor signals from the at least one photoresistor to generate analysis data. The power source provides the energy necessary for the operation of the system. The fluid conduit enables the controlled flow of the sample water for analysis.

An X-Ray-Spectroscopy (XRS) inspection station is presented for inspecting objects progressing on a production line. The XRS station comprises: at least one XRS inspection system each defining an XRS inspection region and performing one or more XRS inspection sessions on the object passing through the inspection region while progressing on the production line and generating XRS inspection data piece for said object. The XRS inspection system comprises at least one emitter, each producing X-Ray or Gamma-Ray exciting radiation to excite at least a portion of the object, and at least one detection unit that detects a response of said at least portion of the object to the exciting radiation and generates corresponding XRS inspection data pieces comprising data indicative of an XRS signature of marking(s) embedded in plastic material composition of the object, said data indicative of the XRS signature being informative of one or more conditions of plastic material composition in the object. The inspection system also includes an analyzer utility adapted to, generate, based on the XRS inspection data pieces, object status in association with identification data of the respective object. Also provided at the inspection station is a control unit which is adapted to generate, based on the object status data, sorting data in relation to said object for use at a sorting station of the production line.

A method for evaluation of a resin alloy includes identifying and quantifying individual materials contained in the resin alloy. In addition, the method can identify encapsulation and whether or not a single phase is formed, without an additional equipment, allowing easier analysis and evaluation of various alloy materials through evaluation of physical properties of resin alloys.

A method and apparatus for X-ray diffraction analysis of amorphous and/or semi-crystalline materials is able to provide the internal strain map of at least the exposed region of the material, even in the amorphous regions of the material. This is achieved in part by providing several unique and novel analysis methods that are able to extract material properties of semi-crystalline and amorphous materials based on the amorphous diffraction signal. The ability to analyse the amorphous diffraction signal is further facilitated by the use of one or more state-of-the-art energy dispersive detectors, which the inventors have found especially suitable for this purpose. This further allows the use of a polychromatic X-ray source as opposed to the monochromatic X-ray sources typically encountered in X-ray diffraction experiments.

Method for obtaining information from short-fibre-reinforced plastic components sequentially produced by an X-ray computed tomography. A learning phase includes: generating CT data sets for a random sample of plastic components from a production process; extracting at least one defect-free region of the plastic components; determining characteristic feature(s) in the extracted regions, relevance of individual features, and regions which are characteristic of the plastic component type and production process thereof, over a predetermined period of the plastic components productions, which exhibit considerable characteristic differences between good parts and reject parts; and defining the feature(s) with its characteristic as trained classifier. An application phase includes: generating a CT data set of the plastic component for inspection; classifying the inspection part based on the trained classifier; examining the characteristic of the feature(s) for a negative trend; and automatically provide a negative trend alert and/or change process parameters to counteract the negative trend.

The present invention relates to relates to a method of optimizing a plastic composition formed from a plurality of resin feedstocks. A plurality of resin feedstocks are provided. The plurality of resin feedstocks are blended to form the plastic composition. One or more properties of the plastic composition, including radiation absorption, radiation transmission, gas evolution, radiation fluorescence, or melting properties, are measured. The ratio of the plurality of resin feedstocks being blended into the plastic composition is adjusted, based on said measuring, to form an optimized plastic composition. A system for performing the method is also disclosed.

The present invention relates to relates to a method of optimizing a plastic composition formed from a plurality of resin feedstocks. A plurality of resin feedstocks are provided. The plurality of resin feedstocks are blended to form the plastic composition. One or more properties of the plastic composition, including radiation absorption, radiation transmission, gas evolution, radiation fluorescence, or melting properties, are measured. The ratio of the plurality of resin feedstocks being blended into the plastic composition is adjusted, based on said measuring, to form an optimized plastic composition. A system for performing the method is also disclosed.

There is provided an X-ray device irradiating a measuring object with X-ray and detecting transmission X-ray transmitted through the measuring object, the X-ray device including: a first information generation portion configured to generate first information in which a value according to an absorption coefficient is allocated to each of a plurality of divided sections into which there is divided a predetermined space including at least part of the measuring object; a frequency generation portion configured to generate frequency information of the allocated value to indicate a number of the divided sections according to magnitude of the allocated value in the first information; a ratio acquirement portion configured to acquire ratio information indicating a ratio between a first substance and a second substance constituting the measuring object; and a second information generation portion configured to change the first information into second information, by using the frequency information and the ratio information.

The purpose of the present invention is to provide a pattern measurement device which evaluates quantitatively and with high precision random patterns such as finger print patterns. In order to fulfill this purpose, a pattern measurement device which measures the pattern on a sample on the basis of an image acquired by a charged particle beam is proposed which selectively extracts linear or linearly approximable parts of the pattern on the sample, and outputs at least one of the following: the measurement of the distance between the extracted parts, the ratio of said extracted parts in a prescribed region, and the length of said extracted parts. Further, as a more specific embodiment, a pattern measurement device is proposed which calculates a frequency depending on a distance value between extracted parts, and outputs, as a pattern distance, distance values for which said frequency fulfills a prescribed condition.