Yxlon International Gmbh

Jeremy Simon

Thomas Wenzel

Method for obtaining at least one significant feature in a series of components of the same type on the basis of data sets by non-destructive testing. The method includes examining a classified random sample of components which have a known production sequence, by a non-destructive testing. A three-dimensional data set for each component is obtained, and components of the sample are divided by good and rejected parts. Defect-free component regions from all of the components of the random sample are extracted. At least one feature which is characteristic of the type of component and production process which, over a predetermined time of component production, exhibits considerable characteristic differences between the good and rejected parts is determined. The determination can be accomplished using neural networks, machine learning approaches, or statistics from the field of data analytics. The at least one feature and its characteristic is defined as a trained classifier.

Method for obtaining at least one significant feature in a series of components of the same type and method for the classification of a component of such a series

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.

Method for obtaining information from X-ray computed tomography data for optimizing the injection-moulding process of short-fibre-reinforced plastic parts

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Ann Arbor, MI, United States of America

Jeremy Simon