An additive manufacturing apparatus utilizing combined electron beam selective melting and electron beam cutting. One electron beam emitting, focusing, and scanning device (6) is capable of emitting electron beams (67, 68) in three modes of heating, selective melting, and electron beam cutting. The electron beam in the heating mode is emitted to scan and preheat a powder bed (7). The electron beam (67) in the selective melting mode is emitted to scan and melt powder (71) in a section outline to form a section layer of a component. The electron beam (68) in the electron beam cutting mode is emitted to perform one or more cutting scans on inner and outer outlines (74, 75) of a section of the component to obtain accurate and smooth inner and outer outlines of the section. The heating, melting deposition, and outline cutting processes are repeated to obtain a required three-dimensional physical component.

An additive manufacturing apparatus utilizing combined electron beam selective melting and electron beam cutting. One electron beam emitting, focusing, and scanning device (6) is capable of emitting electron beams (67, 68) in three modes of heating, selective melting, and electron beam cutting. The electron beam in the heating mode is emitted to scan and preheat a powder bed (7). The electron beam (67) in the selective melting mode is emitted to scan and melt powder (71) in a section outline to form a section layer of a component. The electron beam (68) in the electron beam cutting mode is emitted to perform one or more cutting scans on inner and outer outlines (74, 75) of a section of the component to obtain accurate and smooth inner and outer outlines of the section. The heating, melting deposition, and outline cutting processes are repeated to obtain a required three-dimensional physical component.

There is provided a cobalt-based alloy product comprising: in mass %, 0.08-0.25% C; 0.1% or less B; 10-30% Cr; 5% or less Fe and 30% or less Ni, the total amount of Fe and Ni being 30% or less; W and/or Mo, the total amount of W and Mo being 5-12%; at least one of Ti, Zr, Hf, V, Nb and Ta, the total amount of Ti, Zr, Hf, V, Nb and Ta being 0.5-2%; 0.5% or less Si; 0.5% or less Mn; 0.003-0.04% N; and the balance being Co and impurities. The product is a polycrystalline body of matrix phase crystal grains. In the matrix phase crystal grains, post-segregation cells with an average size of 0.13-2 μm are formed, wherein components constituting an MC type carbide phase comprising Ti, Zr, Hf, V, Nb and/or Ta are segregated along boundary regions of the post-segregation cells.

There is provided a cobalt-based alloy product comprising: in mass %, 0.08-0.25% C; 0.1% or less B; 10-30% Cr; 5% or less Fe and 30% or less Ni, the total amount of Fe and Ni being 30% or less; W and/or Mo, the total amount of W and Mo being 5-12%; at least one of Ti, Zr, Hf, V, Nb and Ta, the total amount of Ti, Zr, Hf, V, Nb and Ta being 0.5-2%; 0.5% or less Si; 0.5% or less Mn; 0.003-0.04% N; and the balance being Co and impurities. The product is a polycrystalline body of matrix phase crystal grains. In the matrix phase crystal grains, post-segregation cells with an average size of 0.13-2 μm are formed, wherein components constituting an MC type carbide phase comprising Ti, Zr, Hf, V, Nb and/or Ta are segregated along boundary regions of the post-segregation cells.

An additive manufacturing system including a housing configured to contain a powder bed of material, and an array of laser emitters having a field of view. The array is configured to melt at least a portion of the powder bed within the field of view as the array translates relative to the powder bed. The system further includes a spatter collection device including a diffuser configured to discharge a stream of gas across the powder bed, and a collector configured to receive the stream of gas and contaminants entrained in the stream of gas. The collector is spaced from the diffuser such that a collection zone is defined therebetween, and the spatter collection device is configured to translate relative to the powder bed such that the collection zone overlaps with the field of view of the array.

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.

A method of additive manufacture is disclosed. The method may include providing a powder bed and directing a shaped laser beam pulse train consisting of one or more pulses and having a flux greater than 20 kW/cm.sup.2 at a defined two dimensional region of the powder bed. This minimizes adverse laser plasma effects during the process of melting and fusing powder within the defined two dimensional region.

A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

Additive manufacturing method of a component with a thread opening and an insert thread at its radial inner wall, for a wire thread insert to form a standard thread. A 3D component drawing includes the thread opening and the insert thread arranged in there, which is defined by

[00001]$D_{HC}\ge D_{\mathrm{HC}\min }=d+0.75\times \frac{P}{\tan \left(\frac{\alpha }{2}\right)}$$D_{1HC}\ge D_{1\mathrm{HC}\min }=d+0.125\times \frac{P}{\tan \left(\frac{\alpha }{2}\right)}$$D_{1HC}\le D_{1\mathrm{HC}\max }=d+0.125\times \frac{P}{\tan \left(\frac{\alpha }{2}\right)}+0.373\times P-0.192\times P^{1.21}$$P_{HC}=($