A nickel base superalloy powder for additive manufacturing applications is disclosed. The alloy powder has the following broad weight percent composition:

TABLE-US-00001 C   0-0.1 Mn 0.5 max. Si   0-0.03 Cr  4-16 Fe   0-1.5 Mo 0-6 W 0-8 Co  0-15 Ti 0-2 Al 0.5-5.5 Nb 0-6 Ta  7.5-14.5 Hf   0-2.0 Zr   0-0.1 Re 0-6 Ru 0-3 B   0-0.03
The balance of the alloy is at least 50% nickel and the usual impurities. An article of manufacture made from the alloy is also disclosed.

Atomic-to-Nanoscale Matter Emission/Flow Regulation Devices, Systems and methods are set forth. An exemplary device can include a through-hole that has a top, and a nozzle configured to facilitate atomic-to-nanoscale matter emission/flow regulation formed in an etchable nozzle substrate. The nozzle can be configured at the smallest cross-section of the through-hole. A bottom can be formed in the nozzle substrate or selectively connected to the nozzle. Systems can include matter transportation/flow regulation columns, printing systems, etching systems and the like through which self-aligned nanodroplets or single-to-finite numbered ionic species/gas phase matter can flow under spontaneous or external excitation conditions (such as voltages) at atmospheric as well as regulated pressures.

In order to improve a usage of machine tool components, it is provided that the machine tool component is formed at least partially, in particular essentially, or alternatively completely from an amorphous metal. It is provided that the tool component is produced using injection molding or 3D printing or plastic deformation.

The present application relates to a method of producing an article by additive manufacturing including the steps of predicting regions of stress in the article, identifying an optimal build orientation for the article and dispensing a first powder and/or a second powder to form the article. The first and second powders are of the same type of powder and have been recycled to different extents and the orientation of the build is optimised so that reduced quantities of the powder which has not been recycled or which has been recycled to a lesser extent is dispensed during the build.

This invention teaches a quality assurance system for additive manufacturing. This invention teaches a multi-sensor, real-time quality system including sensors, affiliated hardware, and data processing algorithms that are Lagrangian-Eulerian with respect to the reference frames of its associated input measurements. The quality system for Additive Manufacturing is capable of measuring true in-process state variables associated with an additive manufacturing process, i.e. those in-process variables that define a feasible process space within which the process is deemed nominal. The in-process state variables can also be correlated to the part structure or microstructure and can then be useful in identifying particular locations within the part likely to include defects.

This invention teaches a quality assurance system for additive manufacturing. This invention teaches a multi-sensor, real-time quality system including sensors, affiliated hardware, and data processing algorithms that are Lagrangian-Eulerian with respect to the reference frames of its associated input measurements. The quality system for Additive Manufacturing is capable of measuring true in-process state variables associated with an additive manufacturing process, i.e. those in-process variables that define a feasible process space within which the process is deemed nominal. The in-process state variables can also be correlated to the part structure or microstructure and can then be useful in identifying particular locations within the part likely to include defects.

A three-dimensional modeling device includes a modeling unit having a nozzle configured to eject a modeling material, a stage, a movement mechanism unit for changing a relative position between the nozzle and the stage, a measuring unit, a reference unit having a reference surface arranged at a position that corresponds to a deposition surface of the stage in an intersecting direction and where the reference surface can face the measuring unit, the reference unit being separate from the nozzle, and a control unit controlling the modeling unit and the movement mechanism unit. The control unit controls the measuring unit to measure a first distance between the measuring unit and the reference surface and a second distance between the measuring unit and the distal end surface, and decides a distance between a distal end surface of the nozzle and the deposition surface, based on the first and second distances.

A method for manufacturing a three-dimensional shaped object includes a first step of receiving a selection of a shaping mode for the three-dimensional shaped object, a second step of generating, based on the received shaping mode, shaping data for shaping the three-dimensional shaped object, and a third step of shaping the three-dimensional shaped object based on the shaping data, in which the third step includes a step of controlling a discharge adjusting unit configured to adjust a discharge amount of a shaping material from a nozzle, and the number of times the discharge adjusting unit is controlled in the third step is different depending on the shaping mode received in the first step.

This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.

This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.