A system and method for controlling an additive manufacturing system to form a multi-material component. Operating parameter values may be determined for the additive manufacturing system based on a first material and a second material used to form the multi-material component to ensure a requisite level of bonding between particles of a gradient between the first and second materials. Data or models for the first and second materials, along with observed data from a plurality of sample multi-material components formed from the first and second materials may be utilized to determine the operating parameter values. In some cases, the operating parameter values may be tuned to form a multi-material component having predetermined values for parameter objectives along the gradient of the multi-material component. The additive manufacturing system may be a selective laser melting system.

This invention concerns apparatus for generating instructions for machines of a manufacturing chain used to manufacture a workpiece. The apparatus comprising a processor arranged to receive a model based definition (MBD) of a workpiece including geometric dimensions and tolerances; receive inputs setting an additive build design for building the workpiece based upon the geometric dimensions; generate additive instructions for an additive manufacturing machine of the manufacturing chain based upon the additive build design; determine a prospective intermediate workpiece product expected from an additive build in accordance with the additive build design; determine differences between the prospective intermediate workpiece product and the model based definition of the workpiece; and generate further instructions for at least one further machine of the manufacturing chain based upon the differences.

A method operates a three-dimensional (3D) metal object manufacturing system to compensate for displacement errors that occur during object formation. In the method, image data of a metal object being formed by the 3D metal object manufacturing system is generated prior to completion of the metal object and compared to original 3D object design data of the object to identify one or more displacement errors. For the displacement errors outside a predetermined difference range, the method modifies machine-ready instructions for forming metal object layers not yet formed to compensate for the identified displacement errors and operates the 3D metal object manufacturing system using the modified machine-ready instructions.

Embodiments for 3D printing an object by a processor are described. During a 3D printing process to form a 3D printed object, an at least partially completed 3D printed object formed by the 3D printing process is scanned. An error on the at least partially completed 3D printed object is detected based on the scanning of the at least partially completed 3D printed object. The error on the at least partially completed 3D printed object is corrected. The correcting of the error includes causing at least some material from the partially completed 3D printed object to be removed.

A method of additive manufacture involves building a container 8 and a structure by fusing powder 12, 13, 14, such that the container contains the structure and unfused powder. The container 8 may be used in a method for predicting powder degradation in an additive manufacturing process. Containers containing different types of structure may be built to measure the effect of building different types of structures on powder degradation. A structure to be built may be characterised by classes of structural features it contains and information obtained used from building containers used to predict how building the structure will degrade powder.

Printers are disclosed. An example printer includes a build controller to access metrics of a layer on a work area and to select a dosing profile from a plurality of dosing profiles to fuse the layer based on the metrics.

A system and method for monitoring and controlling build quality during electron beam manufacturing of a build part. The system may include at least one electron beam source to direct at least one electron beam onto a plurality of deposited layers of metallic powder to form a melt pool, a detector to detect in real-time backscattered energy ejected from the melt pool and indicative of a defect in the build part and generate a detection signal representative of the defect. A controller receives and analyzes the detection signal and generates a corrective signal for control of at least one of the actuator and the at least one electron beam source to direct the at least one electron beam onto the plurality of deposited layers of metallic powder to sequentially consolidate patterned portions of the plurality of deposited metallic powder layers to adaptively form the three-dimensional build part.

In an example, a method for generating control data for production of a three-dimensional object is described. A model of the three-dimensional object is obtained as a array of voxels, and it is determined for each voxel whether that voxel comprises part of a first or a second sub-object of the three-dimensional object. Each first sub-object voxel is mapped to a volume coverage representation defining print material data for that voxel. The second sub-object voxels are mapped to a volume coverage representation defining common print material data for the voxels of second sub-object. Control data for printing the first sub-object is generated from the print material data for that voxel common print material data for the Control data for printing the second sub-object is generated according to the volume coverage representation for the second sub-object.

This invention concerns apparatus for generating instructions for machines of a manufacturing chain used to manufacture a workpiece. The apparatus comprising a processor arranged to receive a model based definition (MBD) of a workpiece including geometric dimensions and tolerances; receive inputs setting an additive build design for building the workpiece based upon the geometric dimensions; generate additive instructions for an additive manufacturing machine of the manufacturing chain based upon the additive build design; determine a prospective intermediate workpiece product expected from an additive build in accordance with the additive build design; determine differences between the prospective intermediate workpiece product and the model based definition of the workpiece; and generate further instructions for at least one further machine of the manufacturing chain based upon the differences.

A sensor is provided near an additive manufacturing (AM) part during fabrication to provide information about the condition of the additive material during fabrication. Sensor measurements are used for in situ monitoring and control of the AM system. By placing a sensor at this location, information at or near this location may be collected and then analyzed to determine if the AM process is proceeding acceptably, or if real-time modifications to the process should be made to improve the performance of the process. Conditions monitored by the sensor may include the melt pool dimensions, the temperature ahead of and at the melt pool, properties of the powder bed such as temperature and particle size distribution, local powder conditions, prior layer condition, and applied layer condition behind the laser. A control system uses these monitored conditions to adjust and control the ongoing AM fabrication process.