A laser beam is irradiated onto material powder on a manufacturing table to solidify the material powder and form a solidified layer. The material powder is further deposited on the solidified layer and the laser beam is irradiated onto one part of the material powder to solidify the material powder. They are repeated to manufacture a manufactured object. An irradiation output value of the laser beam is determined based on measurement information regarding a deposition surface before depositing the material powder or regarding a surface state of the material powder after deposition that is acquired by a camera. Alternatively, the aforementioned irradiation output value is determined based on parity information regarding a number of solidified layers that were already solidified by irradiation of the energy beam, or determined in accordance with an irradiation output value used when solidifying a solidified layer solidified prior to deposition of the deposited material powder.

A laser beam is irradiated onto material powder on a manufacturing table to solidify the material powder and form a solidified layer. The material powder is further deposited on the solidified layer and the laser beam is irradiated onto one part of the material powder to solidify the material powder. They are repeated to manufacture a manufactured object. An irradiation output value of the laser beam is determined based on measurement information regarding a deposition surface before depositing the material powder or regarding a surface state of the material powder after deposition that is acquired by a camera. Alternatively, the aforementioned irradiation output value is determined based on parity information regarding a number of solidified layers that were already solidified by irradiation of the energy beam, or determined in accordance with an irradiation output value used when solidifying a solidified layer solidified prior to deposition of the deposited material powder.

Embodiments relate to in-situ process monitoring of a part being made via additive manufacturing. The process can involve capturing computed tomography (CT) scans of a post-built part. A neural network (NN) can be used during the build of a new part to process multi-modal sensor data. Spatial and temporal registration techniques can be used to align the data to x,y,z coordinates on the build plate. During the build of the part, the multi-modal sensor data can be superimposed on the build plate. Machine learning can be used to train the NN to correlate the sensor data to a defect label or a non-defect label by looking to certain patterns in the sensor data at the x,y,z location to identify a defect in the CT scan at x,y,z. The NN can then be used to predict where defects are or will occur during an actual build of a part.

Embodiments relate to in-situ process monitoring of a part being made via additive manufacturing. The process can involve capturing computed tomography (CT) scans of a post-built part. A neural network (NN) can be used during the build of a new part to process multi-modal sensor data. Spatial and temporal registration techniques can be used to align the data to x,y,z coordinates on the build plate. During the build of the part, the multi-modal sensor data can be superimposed on the build plate. Machine learning can be used to train the NN to correlate the sensor data to a defect label or a non-defect label by looking to certain patterns in the sensor data at the x,y,z location to identify a defect in the CT scan at x,y,z. The NN can then be used to predict where defects are or will occur during an actual build of a part.

A method and apparatus for the generative manufacture of a three-dimensional component in a processing chamber, in which the steps “providing a metallic starting material in the processing chamber” and “melting the starting material by means of energy input” are repeated multiple times, wherein a process gas is provided in the processing chamber are disclosed. The method is characterized by the steps: 1) the hydrogen content of the process gas or a sample of the process gas is determined; 2) the oxygen content of the process gas or a sample of the process gas is determined by means of an oxygen sensor and/or the dew point of the process gas or a sample of the process gas is determined; and 3) the values for the oxygen content and/or the dew point determined in step 2 are corrected by means of the value for the hydrogen content determined in step 1.

A method and apparatus for the generative manufacture of a three-dimensional component in a processing chamber, in which the steps “providing a metallic starting material in the processing chamber” and “melting the starting material by means of energy input” are repeated multiple times, wherein a process gas is provided in the processing chamber are disclosed. The method is characterized by the steps: 1) the hydrogen content of the process gas or a sample of the process gas is determined; 2) the oxygen content of the process gas or a sample of the process gas is determined by means of an oxygen sensor and/or the dew point of the process gas or a sample of the process gas is determined; and 3) the values for the oxygen content and/or the dew point determined in step 2 are corrected by means of the value for the hydrogen content determined in step 1.

An inspection system for in situ evaluation of an additive manufacturing (AM) build part is provided. The inspection system comprises a build plane induction coil sensor configured and positionable so that during construction of the build part, the sensor's magnetization and sensor coils surround at least the last-produced layer of the AM build part in the build plane. The inspection system further comprises an energization circuit and a central processing system. The central processing system comprises a communication processor configured for sending command signals to the energization circuit and receiving impedance data from the build plane induction coil sensor, and energization controller configured for determining energization commands for transmission to the energization circuit, and an induction data analyzer configured for processing build part impedance data using complex impedance plane analysis and for identifying anomalies in the AM build part.

An inspection system for in situ evaluation of an additive manufacturing (AM) build part is provided. The inspection system comprises a build plane induction coil sensor configured and positionable so that during construction of the build part, the sensor's magnetization and sensor coils surround at least the last-produced layer of the AM build part in the build plane. The inspection system further comprises an energization circuit and a central processing system. The central processing system comprises a communication processor configured for sending command signals to the energization circuit and receiving impedance data from the build plane induction coil sensor, and energization controller configured for determining energization commands for transmission to the energization circuit, and an induction data analyzer configured for processing build part impedance data using complex impedance plane analysis and for identifying anomalies in the AM build part.

A method for determining additive manufacturing parameters for the manufacture of an additive manufacturing support (1) for a target part exhibiting an overhang comprises the steps of: (a) additive manufacture of a plurality of supports for each supporting an overhang (2) of a test part (3), each support (1) being associated with a collection of manufacturing parameters and a collection of geometric parameters pertaining to the overhang (2); (b) manufacturing the test part (3) and observing, for each support (1), a collection of mechanical parameters pertaining to the support (1); (c) determining the additive manufacturing parameters for the manufacture of the support (1) of the target part on the basis of the geometric parameters pertaining to the overhang of the target part and of the mechanical parameters pertaining to the support.

A method for determining additive manufacturing parameters for the manufacture of an additive manufacturing support (1) for a target part exhibiting an overhang comprises the steps of: (a) additive manufacture of a plurality of supports for each supporting an overhang (2) of a test part (3), each support (1) being associated with a collection of manufacturing parameters and a collection of geometric parameters pertaining to the overhang (2); (b) manufacturing the test part (3) and observing, for each support (1), a collection of mechanical parameters pertaining to the support (1); (c) determining the additive manufacturing parameters for the manufacture of the support (1) of the target part on the basis of the geometric parameters pertaining to the overhang of the target part and of the mechanical parameters pertaining to the support.