Siemens Energy Global Gmbh & Co. Kg

Siemens Aktiengesellschaft

Jerry Fornander

Andreas Graichen

Jonas Eriksson

Siegmund Düll

Clemens Otte

Thomas Jetzfellner

Markus Sauer

Felix Buggenthin

Mitchell Joblin

Axel Reitinger

Monika Sturm

Victor Balanica

Johan Lindstam

Vincent Sidenvall

Michael Caelers

Pajazit Avdovic

Sunil Viswanathan

Yi Huang

Siegmund DÜLL

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.

Method and apparatus for monitoring a quality of an object of a 3D-print-job series of identical objects

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.

Active am manufactured product, method of manufacturing and machine

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.

Sensor data assembly and manufacturing device

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.

Sensor control assembly and manufacturing device

A 3D printing method providing an improved manufacturing process by providing a plurality of layers forming at least a part of the component, wherein the plurality of layers contains at least one first layer part and at least one second layer part, wherein the at least one first layer part and the at least one second layer part have been manufactured with different manufacturing speeds.

3D printing method and tool

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.

Method for computer-aided processing of quality information of an object and a respective assistance apparatus

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.

Method of providing a dataset for the additive manufacture and corresponding quality control method

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.

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Finspang, Sweden

Jerry Fornander