Abstract: A sensor control assembly and method providing a secured sensor data and an optimized handling of the sensor including a sensor, a first processing unit adapted to provide a cryptographic checksum of sensor data, a distributed database, a second processing unit adapted to verify the sensor data, and a third processing unit adapted to determine the demand for calibration. A manufacturing device contains at least a part of the sensor control assembly.

Abstract: A quality inspection method and a quality inspection arrangement for 3D printing is provided.

Abstract: Provided is a method for computer-aided processing of quality information of an object manufactured by stacked printed layers in an additive manufacturing system, including the steps of: receiving a quality indicator for each printed layer of the object from the manufacturing system, assigning a color out of a predefined set of colors to each quality indicator depending on the value of the quality indicator, visualizing the quality indicators of the received manufactured layers as a sequence of colored bars ordered according to the sequence of the manufactured layers the color of each bar indicating the value of the quality indicator of the respective printed layer on a graphical user interface.

Abstract: An optimized blade with an anchor element to be used in a streaming engine and method of manufacturing such blade. The blade contains a lower part, an upper part and an anchor element, wherein the anchor element is located inside of the blade, and wherein the anchor element connects the lower part and the upper part.

Abstract: Controlling a manufacturing process by a computer-generated classification model is provided. This is combined with a reward system based on a distributed ledger and smart contracts. The classification model is trained by: Providing data entities being indicative of a property of a manufacturing of a product. Acquiring labels for each of the data entities from an agent. Determining labeling metrics based on the acquiring of the agent. Training the classification model, wherein the training set includes the data entities and their labels. Validating the trained classification model yielding a classifier score. Training a labeling score model based on the data entities, the respective labels, the labeling metrics and the classifier score. Determining a labeling score for the agent based on the labeling score model, the labels and the set of labeling metrics.

Abstract: A method of providing a dataset for additive manufacturing includes collecting a first type of data for the dataset during the additive buildup of a at least one layer of a component to be manufactured, evaluating of the structural quality of the layer by the first type of data, modifying the first type of data in that fractions of the data representing an insufficient structural quality of the layer are deleted from the first type of data, and superimposing second type of data, to the first type of data, wherein the second type of data is suitable to support a validation of the structural quality of the as-manufactured component.

Abstract: In order to allow real-time monitoring of a tracing process during additive manufacture, a device is disclosed for the additive manufacture of a workpiece. A scanning unit (2) is designed to direct a fusing beam (3) onto a tracing spot (4). The device also has a local-resolution optical detector (5), a control unit (6) and an imaging unit (7). The imaging unit (7) is designed to image a portion (8) of the tracing surface (1) on the detector (5). The control unit (6) is designed to control the device in order to change the position of the portion (8) during manufacture.

Abstract: A method for the calibration of a camera for monitoring additive manufacturing of an object in which material is applied in a plurality of layers is provided. The method includes: a) providing the camera and providing means for additive manufacturing of the object, b) capturing an image of the object being manufactured or already manufactured by the camera, c) comparing the image captured with a model of the object, d) determining a calibration function on the basis of the comparison from step c), which is intended to transform the image captured into a corrected image, wherein the corrected image of the object substantially corresponds to the model of the object, and e) calibrating the camera by the calibration function. Also provided is a computer program comprising commands which, when executed by a computer, cause the computer to execute the steps of the method as well as a related apparatus.

Abstract: A data structure product containing information with regard to the manufacturing of a product wherein the data structure product contains manufacturing data of the manufacturing process of the specific product, wherein the data structure product is protected against manipulation. A kit of a product and its data structure product, a manufacturing device providing at least a part of the data structure product, and a method to manufacture a product, wherein a corresponding data structure product is created is provided.

Abstract: A distributed database and a kit containing such distributed database and a data source, the distributed database containing a smart contract, wherein the distributed database is adapted to receive and store data from at least one associated data source collecting data regarding a component of a machine, wherein the distributed database is protected against manipulation. A method of monitoring a machine and the use of a distributed database to improve the utilization of a component of a machine is provided.

Abstract: A product containing an intelligent control provides increased safety and reliability, wherein the product contains an active component, wherein the active component is adapted to monitor or control the use of the component, wherein the active component is adapted to send data to and/or receive data from a distributed database. A method of manufacturing, a machine containing the product, and a computer program product are provided.

Abstract: A sensor data assembly providing a secured data storage for monitored data containing sensor data acquired by at least one sensor, a processing unit adapted to provide a cryptographic checksum of the monitored data and/or the sensor data acquired by the sensor, a distributed database and a first connection adapted to, at least temporarily, connect the sensor and the processing unit. A method provides manipulation proof monitored data containing sensor data of a sensor of the sensor data assembly.

Abstract: A sensor control assembly and method providing a secured sensor data and an optimized handling of the sensor including a sensor, a first processing unit adapted to provide a cryptographic checksum of sensor data, a distributed database, a second processing unit adapted to verify the sensor data, and a third processing unit adapted to determine the demand for calibration. A manufacturing device contains at least a part of the sensor control assembly.

Abstract: A turbomachine component, gas turbine combustor component, or burner component, including a body with a first, second and third section, the sections being integrally formed with another and built from a same material, and an end face of the first section of the body. The end face, during operation, is exposed to a first temperature higher than a second temperature of a cooling fluid. The second section is located between the first and third section and is formed in parts as a lattice structure. The lattice structure has a plurality of rod-shaped struts, wherein each of a first set of the plurality of struts has a first end, the first end being connected to the first section, and a void penetrated by the plurality of struts, the void providing at least one fluid passage via which the cooling fluid is guidable through an interior of the second section during operation.

Abstract: A rotating machine component, particularly a gas turbine combustion component, having at least one part built from a porous material with a plurality of pores, wherein at least a subset of the plurality of pores is at least partly filled with a gas with a composition different from air and/or with a powder, wherein the porous material is a laser sintered or laser melted material in which void local regions form the plurality of pores. The component counter-acts vibrations. A rotating machine or gas turbine engine may have such a component.

Abstract: Provided is a method for computer-aided processing of quality information of an object manufactured by stacked printed layers in an additive manufacturing system, including the steps of: receiving a quality indicator for each printed layer of the object from the manufacturing system, assigning a color out of a predefined set of colors to each quality indicator depending on the value of the quality indicator, visualizing the quality indicators of the received manufactured layers as a sequence of colored bars ordered according to the sequence of the manufactured layers the color of each bar indicating the value of the quality indicator of the respective printed layer on a graphical user interface.

Abstract: Movement restraining device (1) for partially immobilizing a body joint (10) facilitating rotation of a body part (20) about a joint axis (40). The device comprises a) a first stopper element (50) having an abutment surface (70); b) a second stopper element (60), comprising an abutting surface (100), pivotable, relative to the first stopper element. The second stopper element can be pivoted into an abutting pivot position, in which position the abutting surface is in surface contact with the abutment surface; c) skin attachment means (90) for attaching the stopper elements to skin at the body joint; and d) electrical contact elements (310, 320), connectable to an indicator device for providing an indication when the contact elements are in electrical contact with each other. The first contact element can be brought into electrical contact with the second contact element by pivoting the second stopper element into the abutting pivot position.

Abstract: An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.

Abstract: A blockchain database representing an additive manufacturing process includes a plurality of data blocks, wherein integrity of the blockchain is ensured by cryptographic encoding of consecutive blocks of the blockchain, and wherein each block of the blockchain holds data about an additive manufacturing process of a component which is to be manufactured via an additive manufacturing device, wherein data of each layer for the component is linked in a separate block of the blockchain.

Abstract: The present invention provides an enhanced setup of a 3D-printing device, especially to a laser powder bed fusion 3D-printing device. It is for this purpose, that data relating to previously printed products are stored in a database. When a new product is to be printed, the features of the new product are matched with features of previously printed products stored in the database. Accordingly, a suggestion for setting-up the 3D-printing device based on corresponding previously printed products and their setup parameters can be automatically determined and applied to the 3D-printing device.