an extruded metal flow 3D printer comprising a rack including a workbench capable of moving along n X-axis and Y-axis direction, and a head capable of moving along an Z-axis direction; a printing device including a printing head, a highfrequency coil and a high frequency electric induction heating device; the printing heal including a tungsten steel nozzle, a ceramic tube bank, a high temperature resistant ceramic protective sleeve, and a stainless steel end cover; the tungsten steel nozzle having an extrusion hole; a feeding device; the head comprising at least one laser mounted on a lower end face thereof and configured to locally preheat and melt a metal layer printed from the metal wire or enhance a binding force between metal layers, so that the print effect and model molding effect of the present invention can be improved, enhancing the marketability.

an extruded metal flow 3D printer comprising a rack including a workbench capable of moving along n X-axis and Y-axis direction, and a head capable of moving along an Z-axis direction; a printing device including a printing head, a highfrequency coil and a high frequency electric induction heating device; the printing heal including a tungsten steel nozzle, a ceramic tube bank, a high temperature resistant ceramic protective sleeve, and a stainless steel end cover; the tungsten steel nozzle having an extrusion hole; a feeding device; the head comprising at least one laser mounted on a lower end face thereof and configured to locally preheat and melt a metal layer printed from the metal wire or enhance a binding force between metal layers, so that the print effect and model molding effect of the present invention can be improved, enhancing the marketability.

An additive manufacturing method for making an additive object, which includes the steps of : introducing a mechanical wave to vibrate a holding platform; melting a raw material powder into a melted raw material; and depositing the melted raw material in multiple layers on the holding platform, vibrated by the mechanical wave to form the additive object.

An additive manufacturing method for making an additive object, which includes the steps of : introducing a mechanical wave to vibrate a holding platform; melting a raw material powder into a melted raw material; and depositing the melted raw material in multiple layers on the holding platform, vibrated by the mechanical wave to form the additive object.

A method for performing sub-surface porosity detection in an additively manufactured part. The method includes providing, by a laser radiation source, a first radiation to a region of a powder bed along a beam of the first radiation, the region of the powder bed being part of a corresponding region of an additively manufactured part. Infrared imaging of the region of the powder bed is performed while the first radiation is being provided to the powder bed. A processor generates data sets indicative of the temperature of the region of the powder bed; and the processor further detects, from the data sets, a defect signature indicative of the formation and/or presence of a sub-surface defect in the region of the additively manufactured part.

A method for performing sub-surface porosity detection in an additively manufactured part. The method includes providing, by a laser radiation source, a first radiation to a region of a powder bed along a beam of the first radiation, the region of the powder bed being part of a corresponding region of an additively manufactured part. Infrared imaging of the region of the powder bed is performed while the first radiation is being provided to the powder bed. A processor generates data sets indicative of the temperature of the region of the powder bed; and the processor further detects, from the data sets, a defect signature indicative of the formation and/or presence of a sub-surface defect in the region of the additively manufactured part.

An additive manufacturing system comprises an apparatus arranged to distribute layer of metallic powder across a build plane and a power source arranged to emit a beam of energy at the build plane and fuse the metallic powder into a portion of a part. The system includes a processor configured to steer the beam of energy across the build plane and receive data generated by one or more sensors that detect electromagnetic energy emitted from the build plane when the beam of energy fuses the metallic powder. The received data is converted into one or more parameters that indicate one or more conditions at the build plane while the beam of energy fuses the metallic powder. The one or more parameters are used as input into a machine learning algorithm to detect one or more defects in the fused metallic powder.

An additive manufacturing system comprises an apparatus arranged to distribute layer of metallic powder across a build plane and a power source arranged to emit a beam of energy at the build plane and fuse the metallic powder into a portion of a part. The system includes a processor configured to steer the beam of energy across the build plane and receive data generated by one or more sensors that detect electromagnetic energy emitted from the build plane when the beam of energy fuses the metallic powder. The received data is converted into one or more parameters that indicate one or more conditions at the build plane while the beam of energy fuses the metallic powder. The one or more parameters are used as input into a machine learning algorithm to detect one or more defects in the fused metallic powder.

An L10-FeNi magnetic powder has an average particle size of 50 nm to 1 μm, and an average value of sphericity P of 0.9 or more. The sphericity P is defined as P=Ls/Lr, where Lr is a perimeter of an L10-FeNi magnetic powder particle on an image of a microscope, and Ls is a perimeter of a perfect circle that has a same area as the L10-FeNi magnetic powder particle on the image for which Lr is calculated.

An L10-FeNi magnetic powder has an average particle size of 50 nm to 1 μm, and an average value of sphericity P of 0.9 or more. The sphericity P is defined as P=Ls/Lr, where Lr is a perimeter of an L10-FeNi magnetic powder particle on an image of a microscope, and Ls is a perimeter of a perfect circle that has a same area as the L10-FeNi magnetic powder particle on the image for which Lr is calculated.