Patent classifications
B22F2999/00
BREAK AWAY SUPPORT FOR 3D PRINTING
In one example, a 3D printing system includes a support structure generator to identify a breakaway support to temporarily support part of the object, to design a wedge shaped groove between a portion of the object and the support, the groove ending at a line along which the support intersects the object, and to generate a digital object model that includes the support and the groove. The system also includes a 3D printer to print the object, support and groove based on the object model.
THREE DIMENSIONAL CHIRAL NANOSTRUCTURES
Proposed is a three-dimensional chiral metal nanoparticle, comprising a heterometal nanoparticle including: a seed region formed of a first metal; and a heterogeneous region disposed on an external side of the seed region to enclose the seed region and formed of a second metal. The first metal is gold (Au), and the second metal is palladium (Pd). In a rectangular parallelepiped structure, a rectangular band shape rotates in a clockwise direction or a counterclockwise direction on each surface and protrudes towards a center of the surface.
THREE DIMENSIONAL CHIRAL NANOSTRUCTURES
Proposed is a three-dimensional chiral metal nanoparticle, comprising a heterometal nanoparticle including: a seed region formed of a first metal; and a heterogeneous region disposed on an external side of the seed region to enclose the seed region and formed of a second metal. The first metal is gold (Au), and the second metal is palladium (Pd). In a rectangular parallelepiped structure, a rectangular band shape rotates in a clockwise direction or a counterclockwise direction on each surface and protrudes towards a center of the surface.
HIGH-TEMPERATURE COMPONENT
A high-temperature component made of a refractory metal or a refractory metal alloy, includes a coating for increasing thermal emissivity. The coating is formed substantially of tungsten and rhenium, i.e. of at least 55 wt. % rhenium and at least 10 wt. % tungsten, and has a Re3W phase of at least 35 wt. %. A process for producing a high-temperature component having a coating for increasing thermal emissivity, is also provided.
HIGH-TEMPERATURE COMPONENT
A high-temperature component made of a refractory metal or a refractory metal alloy, includes a coating for increasing thermal emissivity. The coating is formed substantially of tungsten and rhenium, i.e. of at least 55 wt. % rhenium and at least 10 wt. % tungsten, and has a Re3W phase of at least 35 wt. %. A process for producing a high-temperature component having a coating for increasing thermal emissivity, is also provided.
BURNER ELEMENT FABRICATION USING INJECTION MOULDING AND CONSEQUENT SINTERING
A method of fabricating a burner element for an abatement apparatus is disclosed. The method comprises: injection moulding a charge comprising metal particles and a flow compound into a mould defining the burner element to produce a moulded burner element; and sintering the moulded burner element. In this way, injection moulding is used to produce the burner element, which provides far more flexibility regarding the design and properties of the burner element and avoids the necessity of incorporating a perforated support into the burner element. This allows burner elements of more intricate design to be produced, as well as burner elements which are thinner than those produced using existing techniques, which increases the volume of a combustion chamber defined by that burner element for any external burner element size, which in turn increases the amount of effluent gas that can be treated for any burner size.
BURNER ELEMENT FABRICATION USING INJECTION MOULDING AND CONSEQUENT SINTERING
A method of fabricating a burner element for an abatement apparatus is disclosed. The method comprises: injection moulding a charge comprising metal particles and a flow compound into a mould defining the burner element to produce a moulded burner element; and sintering the moulded burner element. In this way, injection moulding is used to produce the burner element, which provides far more flexibility regarding the design and properties of the burner element and avoids the necessity of incorporating a perforated support into the burner element. This allows burner elements of more intricate design to be produced, as well as burner elements which are thinner than those produced using existing techniques, which increases the volume of a combustion chamber defined by that burner element for any external burner element size, which in turn increases the amount of effluent gas that can be treated for any burner size.
IN-SITU PROCESS MONITORING FOR POWDER BED FUSION ADDITIVE MANUFACTURING (PBF AM) PROCESSES USING MULTI-MODAL SENSOR FUSION MACHINE LEARNING
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.
IN-SITU PROCESS MONITORING FOR POWDER BED FUSION ADDITIVE MANUFACTURING (PBF AM) PROCESSES USING MULTI-MODAL SENSOR FUSION MACHINE LEARNING
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.
RARE-EARTH SINTERED MAGNET
The present invention provides a rare-earth sintered magnet that is characterized in that: R (R indicates one or more elements selected from rare-earth elements, wherein Nd is essential), T (T indicates one or more elements selected from iron-group elements, wherein Fe is essential), X (X indicates one or two elements selected from B and C, wherein B is essential), M.sup.1 (M.sup.1 indicates one or more elements selected from Al, Si, Cr, Mn, Cu, Zn, Ga, Ge, Mo, Sn, W, Pb, and Bi), 0.1 mass % or less of O, 0.05 mass % or less of N, and 0.07 mass % or less of C are contained; the average crystal grain size is 4.0 μm or less; and relational expression (1) 0.26×D+97≤Or≤0.26×D+99 is satisfied assuming that the degree of orientation is Or [%] and that the average crystal grain size is D [μm]. With this rare-earth sintered magnet, it is possible to achieve superior magnetic characteristics in which both high Br and high H.sub.cJ are achieved.